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ORCIDMachine Learning: Science and Technology, Volume 6
Volume 6, Number 1, 2025
- Riccardo Rende
, Luciano Loris Viteritti:
Are queries and keys always relevant? A case study on transformer wave functions. 10501 - Michael Alexander Ramirez Sierra, Thomas R. Sokolowski:
Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems. 10502 - Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls:
Large language models for causal hypothesis generation in science. 13001 - Sichao Li, Xin Wang, Amanda S. Barnard:
Diverse explanations from data-driven and domain-driven perspectives in the physical sciences. 13002 - Osman G. Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai:
Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation. 15001 - Abhishek Setty, Rasul Abdusalamov, Felix Motzoi:
Self-adaptive physics-informed quantum machine learning for solving differential equations. 15002 - Louis Lortie, James Richard Forbes:
Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD. 15003 - Xiaodong Ding, Fudong Liu, Weilong Wang, Yu Zhu, Yifan Hou, Yizhen Huang, Jinchen Xu, Zheng Shan:
New parameterized quantum gates design and efficient gradient solving based on variational quantum classification algorithm. 15004 - Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao:
A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes. 15005 - Daniel Schug, Tyler J. Kovach, M. A. Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, J. Corrigan, Mark A. Eriksson, Justyna P. Zwolak:
Automation of quantum dot measurement analysis via explainable machine learning. 15006 - Robert Schöfbeck:
Refinable modeling for unbinned SMEFT analyses. 15007 - Thomas D. Swinburne, Danny Perez:
Parameter uncertainties for imperfect surrogate models in the low-noise regime. 15008 - Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C. Therrien:
rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA. 15009 - Saeed Iqbal, Adnan N. Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri:
Dynamic selectout and voting-based federated learning for enhanced medical image analysis. 15010 - Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu:
Laryngeal cancer diagnosis based on improved YOLOv8 algorithm. 15011 - Sofia Sgroi, Giorgio Zicari, Alberto Imparato, Mauro Paternostro:
A reinforcement learning approach to the design of quantum chains for optimal energy and state transfer. 15012 - Charles J. Abolt, Javier E. Santos, Adam Atchley, Lucas A. Wells, Daithi Martin, Russell Parsons, Rodman R. Linn:
Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery. 15013 - Kacper Cybinski, Marcin Plodzien, Michal Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid:
Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model. 15014 - Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve B. Jiang, Dan Nguyen:
Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer. 15015 - Matthias Sachs, Wojciech G. Stark, Reinhard Johann Maurer, Christoph Ortner:
Machine learning configuration-dependent friction tensors in Langevin heatbaths. 15016 - Eduardo Almeida Soares, Victor Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P. Sanders:
Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks. 15017 - Steinn Ymir Agustsson, Mohammad Ahsanul Haque, Tam T. Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann:
An autoencoder for compressing angle-resolved photoemission spectroscopy data. 15019 - Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu:
Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction. 15020 - Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip C. Harris:
SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression. 15021 - Muhammad Usman Akbar, Wuhao Wang, Anders Eklund:
Beware of diffusion models for synthesizing medical images - a comparison with GANs in terms of memorizing brain MRI and chest x-ray images. 15022 - José Daniel Viqueira, Daniel Faílde, Mariamo Mussa-Juane, Andrés Gómez-Tato, David Mera:
Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction. 15023 - Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis, Hans-Joachim Bungartz:
Stochastic black-box optimization using multi-fidelity score function estimator. 15024 - Zhaojing Huang, Leping Yu, Luis Fernando Herbozo Contreras, Kamran Eshraghian, Nhan Duy Truong, Armin Nikpour, Omid Kavehei:
Advancing privacy-aware machine learning on sensitive data via edge-based continual µ-training for personalized large models. 15025 - Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil:
Improving detection of Parkinson's disease with acoustic feature optimization using particle swarm optimization and machine learning. 15026 - Yuanran Zhu, Jia Yin, Cian C. Reeves, Chao Yang, Vojtech Vlcek:
Predicting nonequilibrium Green's function dynamics and photoemission spectra via nonlinear integral operator learning. 15027 - Cristiano Fanelli, James Giroux, Justin R. Stevens:
Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models. 15028 - Felix Frohnert, Xuemei Gu, Mario Krenn, Evert P. L. van Nieuwenburg:
Discovering emergent connections in quantum physics research via dynamic word embeddings. 15029 - Koji Hashimoto, Koshiro Matsuo, Masaki Murata, Gakuto Ogiwara, Daichi Takeda:
Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments. 15030 - Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo:
Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders. 15031 - Mickaël Delcey, Yoann Cheny, Jean Schneider, Simon Becker, Sébastien Kiesgen de Richter:
Quantitative assessment of PINN inference on experimental data for gravity currents flows. 15032 - Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian:
Randomized radial basis function neural network for solving multiscale elliptic equations. 15033 - Fernando Moncada Martins, Víctor M. González, José R. Villar, Beatriz García-López, Ana Isabel Gómez-Menéndez:
Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis. 15034 - Sebastian Johann Wetzel:
Closed-form interpretation of neural network classifiers with symbolic gradients. 15035 - F. M. Bayo-Muñoz, Alejandro Malagón-Romero, Alejandro Luque:
Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models. 15036 - Jeneessha P, Balasubramanian Vinoth Kumar:
Domain knowledge-based deterministic graph traversal method for white blood cell classification. 15037 - Stefan Hildebrand, Jonathan Georg Friedrich, Melika Mohammadkhah, Sandra Klinge:
Coupled CANN-DEM simulation in solid mechanics. 15038 - Nashwan Sabti, Ram Purandhar Reddy Sudha, Julian B. Muñoz, Siddharth Mishra-Sharma, Taewook Youn:
A generative modeling approach to reconstructing 21 cm tomographic data. 15039 - Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve B. Jiang, Dan Nguyen:
Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework. 15040 - Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth:
Reinforcement learning-based architecture search for quantum machine learning. 15041 - Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova:
Quantum resources of quantum and classical variational methods. 15042 - Pablo Rodriguez-Grasa, Robert Farzan-Rodriguez, Gabriele Novelli, Yue Ban, Mikel Sanz:
Satellite image classification with neural quantum kernels. 15043 - Aref Hashemi, Aliakbar Izadkhah:
A graph neural network simulation of dispersed systems. 15044 - Felix Conrad, Hajo Wiemer, Steffen Ihlenfeldt:
Leveraging multi-task learning regressor chains for small and sparse tabular data in materials design. 15045 - Arindam Debnath, Wesley F. Reinhart:
Overcoming sparse datasets with multi-task learning as applied to high entropy alloys. 15046 - Kuan-Cheng Chen, Tai-Yue Li, Yun-Yuan Wang, Simon See, Chun-Chieh Wang, Robert Wille, Nan-Yow Chen, An-Cheng Yang, Chun-Yu Lin:
Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks. 15047 - Joshua A. Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi:
LTAU-FF: Loss Trajectory Analysis for Uncertainty in atomistic Force Fields. 15048 - Dorian W. P. Amaral, Shixiao Liang, Juehang Qin, Christopher D. Tunnell:
Fast Bayesian inference for neutrino non-standard interactions at dark matter direct detection experiments. 15049 - Yacoub Hendi, Magdalena Larfors, Moritz Walden:
Learning group invariant Calabi-Yau metrics by fundamental domain projections. 15050 - Yanyang Wang, Yuxiang Yang, Wei Li:
Autoencoder-assisted study of directed percolation with spatial long-range interactions. 15051 - Samuele Grossi, Marco Letizia, Riccardo Torre:
Refereeing the referees: evaluating two-sample tests for validating generators in precision sciences. 15052 - Junji Zhang, Joshua Pagotto, Tim Gould, Timothy T. Duignan:
Scalable and accurate simulation of electrolyte solutions with quantum chemical accuracy. 15053 - Alexandra E. Koloniari, Evdokia C. Koursoumpa, Paraskevi Nousi, Paraskevas Lampropoulos, Nikolaos Passalis, Anastasios Tefas, Nikolaos Stergioulas:
New gravitational wave discoveries enabled by machine learning. 15054 - Alexander Luce, Daniel Grünbaum, Florian Marquardt:
dCG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design. 15055 - Roberto Moretti, Andrea Giachero, Voica Radescu, Michele Grossi:
Enhanced feature encoding and classification on distributed quantum hardware. 15056 - Wenxuan Guo, Zhaoping Hu, Ling Jin, Yanyan Xu, Marta C. González:
DeepAir: deep learning and satellite imagery to estimate high-resolution PM2.5 at scale. 15057 - Alessandro Bombini, Fernando García-Avello Bofías, Francesca Giambi, Chiara Ruberto:
Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes. 15058 - Daniel Maître, Vishal S. Ngairangbam, Michael Spannowsky:
Optimal equivariant architectures from the symmetries of matrix-element likelihoods. 15059 - Maximilian Witte, Fabricio Rodrigues Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow:
Dynamic deep learning based super-resolution for the shallow water equations. 15060 - Kenji Ueda, Masaki Nishiura:
Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics. 15061 - Youngkyoung Bae, Yeongwoo Song, Hawoong Jeong:
Stochastic resetting mitigates latent gradient bias of SGD from label noise. 15062 - Pawan Goyal, Süleyman Yildiz, Peter Benner:
Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics. 15063 - Esteban León, Aobo Li, Miguel Angel Bahena Schott, B. Bos, M. Busch, J. R. Chapman, G. L. Duran, J. Gruszko, R. Henning, E. L. Martin, John F. Wilkerson:
Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines. 15064 - Yumin Dong, Huanxin Ding:
Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting. 15065 - Manpreet Kaur, Camilo E. Valderrama, Qian Liu:
Hybrid vision transformer framework for efficient and explainable SEM image-based nanomaterial classification. 15066 - Magnus Sesodia, Shinichi Sunami, En Chang, Erik Rydow, Christopher J. Foot, Abel Beregi:
CNN-Based vortex detection in atomic 2D Bose gases in the presence of a phononic background. 15067 - Samuel Tovey, Tobias Fellner, Christian Holm, Michael Spannowsky:
Generating quantum reservoir state representations with random matrices. 15068 - Sheng Liu, Zhenzhen Ren, Weihua Wang, Kai Zhong, Jinhong Yang, Hongwei Ning:
High-precision prediction of non-resonant high-order harmonics energetic particle modes via stacking ensemble strategies. 15069 - Thanh V. T. Tran, Nhat Khang Ngo, Viet Thanh Duy Nguyen, Truong Son Hy:
LatentDE: latent-based directed evolution for protein sequence design. 15070 - Mengnan Cui, Karsten Reuter, Johannes T. Margraf:
Multi-fidelity transfer learning for quantum chemical data using a robust density functional tight binding baseline. 15071 - Ana Martins, Melissa Lopez, Gregory Baltus, Quirijn Meijer, Marc van der Sluys, Chris Van Den Broeck, Sarah Caudill:
Improving early detection of gravitational waves from binary neutron stars using CNNs and FPGAs. 15072 - James Giroux, Cristiano Fanelli:
Uncertainty quantification with Bayesian higher order ReLU-KANs. 15073
Volume 6, Number 2, 2025
- Geemi P. Wellawatte, Huixuan Guo, Magdalena Lederbauer, Anna S. Borisova, Matthew Hart, Marta Brucka, Philippe Schwaller:
ChemLit-QA: a human evaluated dataset for chemistry RAG tasks. 20601 - Simone Lossano, Simone Capaccioli, Francesca Cella Zanacchi, Eleonora Da Pozzo, Francesca Del Debbio, Maria Evelina Fantacci, Francesca Lizzi, Raffaella Magrassi, Benedetta Noferi, Dario Pisignano, Camilla Scapicchio, Alessandra Retico:
Generative super-resolution AI accelerates nanoscale analysis of cells. 25001 - Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima:
Tensor tree learns hidden relational structures in data to construct generative models. 25002 - Nour Makke, Sanjay Chawla:
Inferring interpretable models of fragmentation functions using symbolic regression. 25003 - Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou:
On learning higher-order cumulants in diffusion models. 25004 - Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen:
Graph representation of local environments for learning high-entropy alloy properties. 25005 - Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt:
Interpretable correlator Transformer for image-like quantum matter data. 25006 - Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang:
FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model. 25007 - Hao Li, Jianping Li, Zixiang Wu, Mingyu Wang, Guangcan Liu, Ruipeng Sun, Ruize Li, Ning Wang, Houbin Song, Shixin Zhen:
Dynamics-based predictions of infinite-dimensional complex systems using dynamical system deep learning method. 25008 - Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu:
Robust prediction of chaotic systems with random errors using dynamical system deep learning. 25009 - Zhengkang Zhang:
Neural scaling laws from large-N field theory: solvable model beyond the ridgeless limit. 25010 - Haoxin Guo, Yifan Wang, Xiaobo Guo:
Optical flow estimation based on global cross information and dynamic encoder-dynamic decoder. 25011 - Pedro Corral, Roberto Centeno, Víctor Fresno:
Logic replicant: a new machine learning algorithm for multiclass classification in small datasets. 25012 - Pol Febrer, Peter Bjørn Jørgensen, Miguel Pruneda, Alberto García, Pablo Ordejón, Arghya Bhowmik:
Graph2Mat: universal graph to matrix conversion for electron density prediction. 25013 - David Jacob Kedziora, Anna Musial, Wojciech Rudno-Rudzinski, Bogdan Gabrys:
Transfer learning and the early estimation of single-photon source quality using machine learning methods. 25014 - Zhe Bai, Xishuo Wei, William Tang, Leonid Oliker, Zhihong Lin, Samuel Williams:
Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks. 25015 - Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang:
Prior guided deep difference meta-learner for fast adaptation to stylized segmentation. 25016 - Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J. Taylor Childers, Steven Goldenberg:
SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver. 25017 - Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch:
Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators. 25018 - Taesam Lee, Yejin Kong, Vijay P. Singh:
The more the better or the less the better: LASSO versus random forest in forecasting seasonal precipitation for drought management. 25019 - Emiel Koridon, Felix Frohnert, Eric Prehn, Evert P. L. van Nieuwenburg, Jordi Tura, Stefano Polla:
Learning density functionals from noisy quantum data. 25020 - Ze-Wei Ye, Hung-Wei Hsueh, Shu-Han Hsu:
Diversity-based two-phase pruning strategy for maximizing image segmentation generalization with applications in transmission electron microscopy. 25021 - Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan K. Veerapaneni:
Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry. 25022 - Trushal Sardhara, Christian J. Cyron, Martin Ritter, Roland C. Aydin:
Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data. 25023 - Farbod Faraji, Maryam Reza, J. Nathan Kutz:
Shallow recurrent decoder for reduced order modeling of E × B plasma dynamics. 25024 - Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng:
LLM4Mat-bench: benchmarking large language models for materials property prediction. 20501 - Paul Monchot, Loic Coquelin, Nicolas Fischer:
Region versus query based instance segmentation models: application to the estimation of aggregated TiO2 particles size distribution measured by SEM. 20502 - Anyang Peng, Xinzijian Liu, Ming-Yu Guo, Linfeng Zhang, Han Wang:
The OpenLAM Challenges: LAM Crystal Philately competition. 20701 - Noah E. El-Zathry, Stephen Akinlabi, Wai Lok Woo, Vivek Patel, Rasheedat M. Mahamood, Ibrahim Sabry:
Enhancing friction stir-based techniques with machine learning: a comprehensive review. 21001 - Alejandro Villazón, Alfredo Alegría, Xavier Emery:
Neural networks for parameter estimation in geostatistical models with geometric anisotropies. 25025 - Yuta Yahagi, Kiichi Obuchi, Fumihiko Kosaka, Kota Matsui:
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation. 25026 - Juan Cruz-Martinez, Aron Jansen, Gijs van Oord, Tanjona R. Rabemananjara, Carlos M. R. Rocha, Juan Rojo, Roy Stegeman:
Hyperparameter optimisation in deep learning from ensemble methods: applications to proton structure. 25027 - Nancy Mohamed Soliman, Medhat Awadalla, Mohamed Elhelw, Mustafa Elattar:
Aortic KD former: aortic multiclass segmentation using SegFormer via knowledge distillation. 25028 - Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi:
Nearest-neighbors neural network architecture for efficient sampling of statistical physics models. 25029 - Matthieu Haeberle, Puck van Gerwen, Rubén Laplaza, Ksenia R. Briling, Jan Weinreich, Friedrich Eisenbrand, Clémence Corminboeuf:
Integer linear programming for unsupervised training set selection in molecular machine learning. 25030 - Aditya Venkatraman, Ryan M. Katona, David Montes Oca de Zapiain:
MATSE - multi-fidelity augmented time-series emulation: galvanic corrosion applications. 25031 - Amena Khatun, Kübra Yeter-Aydeniz, Yaakov S. Weinstein, Muhammad Usman:
Quantum generative learning for high-resolution medical image generation. 25032 - Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii:
Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning. 25033 - E. Ballarin, Diana A. Chisholm, A. Smirne, M. Paternostro, F. Anselmi, S. Donadi:
Driving enhanced exciton transfer by automatic differentiation. 25034 - Bernis Sutcubasi, Tugçe Balli, Baris Metin, Emine Elif Tülay:
Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing. 25035 - Mona A. Aboelnaga, Mohamed Watheq El-Kharashi, Seif Eldawlatly:
Img2Neuro: brain-trained neural activity encoders for enhanced object recognition. 25036 - Yusei Ito, Yasuo Takeichi, Hideitsu Hino, Kanta Ono:
Optimal spectroscopic measurement design: Bayesian framework for rational data acquisition. 25037 - Jessica N. Howard, Ro Jefferson, Anindita Maiti, Zohar Ringel:
Wilsonian renormalization of neural network Gaussian processes*. 25038 - Yane Li, Zhichao Chen, Hongxia Qi, Ming Fan, Lihua Li:
Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network. 25039 - Senwei Liang, Karol Kowalski, Chao Yang, Nicholas P. Bauman:
Exploring the nexus of many-body theories through neural network techniques: the tangent model. 25040 - Xuemei Gu, Mario Krenn:
Forecasting high-impact research topics via machine learning on evolving knowledge graphs. 25041 - Anirudh Jain, Markus Heinonen, Heikki Käsnänen, Julius Sipilä, Samuel Kaski:
Multi-target property prediction and optimization using latent spaces of generative model. 25042 - Pau Torruella, Abderrahim Halimi, Ludovica Tovaglieri, Céline Lichtensteiger, Duncan T. L. Alexander, Cécile Hébert:
A multiscale Bayesian approach to quantification and denoising of energy-dispersive x-ray data. 25043 - Francesco Di Clemente, Matteo Scialpi, Michal Bejger:
Explainable autoencoder for neutron star dense matter parameter estimation. 25044 - Zhongfang Guan, Bin Zhang, Jian Liu, Jinping Qian, Xianzu Gong, Runze Chen, Zuhao Wang, Binfu Gao, Yutong Guo, Chuannan Xuan, Cong Cao, Tianqi Jia, Pan Li, Wenbin Liu, Wei Wang, Yunchan Hu, Yifan He, Kangjia Yang, Wenyi Lu, Chunyu He:
Thermal damage detection of EAST internal component based on machine learning. 25045 - S. J. Watts, L. Crow:
An information theoretic limit to data amplification. 25046 - Matt L. Sampson, Peter Melchior:
Path-minimizing latent ODEs for improved extrapolation and inference. 25047 - Riccardo Tedoldi, Junyong Li, Ola Engkvist, Andrea Passerini, Annie M. Westerlund, Alessandro Tibo:
WEISS: Wasserstein efficient sampling strategy for LLMs in drug design. 25048 - Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee:
Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks. 25049 - Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami:
Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models. 25050 - Shray Mathur, Noah van der Vleuten, Kevin G. Yager, Esther H. R. Tsai:
VISION: a modular AI assistant for natural human-instrument interaction at scientific user facilities. 25051 - Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo:
Density estimation via binless multidimensional integration. 25052 - Sagi Meir, Tommer D. Keidar, Shlomi Reuveni, Barak Hirshberg:
First-passage approach to optimizing perturbations for improved training of machine learning models. 25053 - Youngchun Kwon, Yongsik Jung, Youn-Suk Choi, Seokho Kang:
Interpretation of chemical reaction yields with graph neural additive network. 25054 - Amirhossein D. Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski:
Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data. 25055 - Roman Soletskyi, Marylou Gabrié, Bruno Loureiro:
A theoretical perspective on mode collapse in variational inference. 25056 - François R. J. Cornet, Pratham Deshmukh, Bardi Benediktsson, Mikkel N. Schmidt, Arghya Bhowmik:
Improving generative inverse design of molecular catalysts in small data regime. 25057 - Pablo Calvo-Barlés, Sergio G. Rodrigo, Luis Martin-Moreno:
Machine learning for detection of equivariant finite symmetry groups in dynamical systems. 25058 - David S. Berman, Marc S. Klinger, Alexander G. Stapleton:
NCoder - a quantum field theory approach to encoding data. 25059 - Haifeng Huang, Guobiao Cai, Chuanfeng Wei, Baiyi Zhang, Xiang Cui, Yongjia Zhao, Huiyan Weng, Weizong Wang, Lihui Liu, Bijiao He:
Efficient prediction of aerodynamic forces in rarefied flow using convolutional neural network based multi-process method. 25060 - Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, Lukas Heinrich:
Flow annealed importance sampling bootstrap meets differentiable particle physics. 25061 - Hilary Egan, Meagan Crowley, Hariswaran Sitaraman, Lila Branchaw, Peter Ciesielski:
Machine learning for reparameterization of multi-scale closures. 25062 - Jacky H. T. Yip, Adam Rouhiainen, Gary Shiu:
Learning from topology: cosmological parameter estimation from the large-scale structure. 25063 - Elizaveta Surzhikova, Jonny Proppe:
regAL: Python package for active learning of regression problems. 25064 - Sergei Gukov, James Halverson, Ciprian Manolescu, Fabian Ruehle:
Searching for ribbons with machine learning. 25065 - Akash Kundu:
Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware. 25066 - Nicolò Oreste Pinciroli Vago, Piero Fraternali:
Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients. 25067 - Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek, Aldo Delgado:
Machine learning approach to reconstruct density matrices from quantum marginals. 25068 - Gijs Vermarien, Thomas G. Bisbas, Serena Viti, Yue Zhao, Xuefei Tang, Rahul Ravichandran:
NeuralPDR: neural differential equations as surrogate models for photodissociation regions. 25069 - Eduardo E. M. Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda:
Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations. 25070 - Wanda Hou, Miao Li, Yi-Zhuang You:
Sequential learning on a tensor network Born machine with trainable token embedding. 25071 - Xiaowei Song, Yurong Mei, Zhilei Zhao, Hao Chang, Lina Han, Hui Wang, Xinyi Zhang, Guoqiang Wang:
FFTL-Net: a network for the classification of skin diseases based on feature fusion and transfer learning. 25072 - Marc Berneman, Daniel Hexner:
Designing precise dynamical steady states in disordered networks. 25073 - Galya Haim, Stefano Martina, John Howell, Nir Bar-Gill, Filippo Caruso:
Machine-learning based high-bandwidth magnetic sensing. 25074 - Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy:
Is tokenization needed for masked particle modeling? 25075 - Sara Capriotti, Alessio Devoto, Simone Scardapane, Silvano Mignardi, Laura Medeghini:
Interpretable classification of Levantine ceramic thin sections via neural networks. 25076 - Pit Bechtold, Dario Stocco, Christian M. Franck:
Multi-objective Bayesian optimization of eco-friendly gas mixtures for resistive plate chambers. 25077 - Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey:
Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys. 30501 - Benjamin Sluijter, Sascha Diefenbacher, Wahid Bhimji, Benjamin Nachman:
Discriminative versus generative approaches to simulation-based inference. 30503 - Bowen Han, Yongqiang Cheng:
Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data*. 30504 - Daniel J. H. Chung, Zhiqi Gao, Yurii Kvasiuk, Tianyi Li, Moritz Münchmeyer, Maja Rudolph, Frederic Sala, Sai Chaitanya Tadepalli:
Theoretical physics benchmark (TPBench) - a dataset and study of AI reasoning capabilities in theoretical physics. 30505 - Jan Weinreich, Konstantin Karandashev, Daniel J. Arismendi-Arrieta, Kersti Hermansson, O. Anatole von Lilienfeld:
Calculated solvation and ionization energies for thousands of organic molecules relevant to battery design. 30602 - Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban:
CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials. 30603 - Yoel Zimmermann, Adib Bazgir, Alexander Al-Feghali, Mehrad Ansari, Joshua D. Bocarsly, L. Catherine Brinson, Yuan Chiang, Defne Circi, Min-Hsueh Chiu, Nathan Daelman, Matthew L. Evans, Abhijeet Sadashiv Gangan, Janine George, Hassan Harb, Ghazal Khalighinejad, Sartaaj Khan, Sascha Klawohn, Magdalena Lederbauer, Soroush Mahjoubi, Bernadette Mohr, Seyed Mohamad Moosavi, Aakash Naik, Aleyna Beste Ozhan, Dieter Plessers, Aritra Roy, Fabian Schöppach, Philippe Schwaller, Carla Terboven, Katharina Ueltzen, Yue Wu, Shang Zhu, Jan Janssen, Calvin Li, Ian T. Foster, Ben Blaiszik:
32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery. 30701 - Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram:
Outlook towards deployable continual learning for particle accelerators. 31001 - Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane:
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. 31002 - Yaohuang Huang, Yi-Fan Hou, Pavlo O. Dral:
Active delta-learning for fast construction of interatomic potentials and stable molecular dynamics simulations. 35004 - Anton Charkin-Gorbulin, Artem Kokorin, Huziel E. Sauceda, Stefan Chmiela, Claudio Quarti, David Beljonne, Alexandre Tkatchenko, Igor Poltavsky:
Atomic orbits in molecules and materials for improving machine learning force fields. 35005 - Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Kotaro Saito, Naoya Chiba, Yoshitaka Ushiku, Kanta Ono:
Bridging text and crystal structures: literature-driven contrastive learning for materials science. 35006 - Evan Walter Clark Spotte-Smith:
Considering the ethics of large machine learning models in the chemical sciences. 35007 - Milan Ding, Sean Z. J. Lim, Xiaoran Yu, Christian P. Clear, Juliet C. Pickering:
A neural network approach for line detection in complex atomic emission spectra measured by high-resolution Fourier transform spectroscopy. 35008 - Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier M. Duarte:
Neural architecture codesign for fast physics applications. 35009 - Matthew Ho, Xiaosheng Zhao, Benjamin D. Wandelt:
Ordered embeddings and intrinsic dimensionalities with information-ordered bottlenecks. 35010 - Shinji Sato, Daiki Sasaki, Chih-Chieh Chen, Kodai Shiba, Tomah Sogabe:
Randomized tensor network reservoir computing: validity and learnability phase transitions. 35011 - Pedro Pessoa, Paul Campitelli, Douglas Shepherd, S. Banu Ozkan, Steve Pressé:
Mamba time series forecasting with uncertainty quantification. 35012 - Ziyi Zhao, Shishun Zhao, Mingjun Zhou, Yujun Yang:
Efficient solving of Schrödinger equation using deep convolutional neural network model with an attention mechanism and transfer learning. 35013 - Lukas Fuchs, Kerstin Wein, Jens Friedland, Orkun Furat, Robert Güttel, Volker Schmidt:
Stereological 3D modeling of nano-scale catalyst particles using TEM projections. 35014 - Luca Colombo, Fabrizio Pittorino, Manuel Roveri:
Training multi-layer binary neural networks with random local binary error signals. 35015 - Matteo Gambella, Fabrizio Pittorino, Manuel Roveri:
Architecture-aware minimization (A2M): how to find flat minima in neural architecture search. 35016 - Alexander Yue, Haoyi Jia, Julia Gonski:
Variational autoencoders for at-source data reduction and anomaly detection in high energy particle detectors. 35017 - Cameron J. LaMack, Eric M. Schearer:
An informativeness score for optimal mixed datasets using Gaussian process regression. 35018 - Lin Hu, Guozhu Jia:
Domain-specific large language model for predicting band gap and formation energy of III-VIIIB and III-IVA nitrides based on fine-tuned GPT-3.5-turbo. 35019 - Alexandra Koulouri, Ville Rimpiläinen:
Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging. 35020 - Samuel Tovey, Sven Krippendorf, Michael Spannowsky, Konstantin Nikolaou, Christian Holm:
Collective variables of neural networks: empirical time evolution and scaling laws. 35021 - Sebastián Roca-Jerat, Juan Román-Roche:
A genetic algorithm to generate maximally orthogonal frames in complex space. 35022 - Shoummo Ahsan Khandoker, Estelle M. Inack, Mohamed Hibat-Allah:
Lattice protein folding with variational annealing. 35023 - Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert P. L. van Nieuwenburg:
Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning. 35024 - Chang Sun, Jennifer Ngadiuba, Maurizio Pierini, Maria Spiropulu:
Fast jet tagging with MLP-Mixers on FPGAs. 35025 - Miao Cai, Mingyuan Chen, Jiangshan Tang, Keyu Xia:
Photonic indistinguishability characterization and optimization for cavity-based single-photon source. 35026 - Hannah Day, Yonatan Kahn, Daniel A. Roberts:
Feature learning and generalization in deep networks with orthogonal weights. 35027 - Serang Jung, Eungkyu Lee:
Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design. 35028 - Viktor Mirjanic, Challenger Mishra:
Symbolic approximations to Ricci-flat metrics via extrinsic symmetries of Calabi-Yau hypersurfaces. 35029 - Javier Quetzalcóatl Toledo-Marín, Anindita Maiti, Geoffrey C. Fox, Roger G. Melko:
Exploring the energy landscape of RBMs: reciprocal space insights into bosons, hierarchical learning and symmetry breaking. 35030 - Anas Saleh:
Predicting the von Neumann entanglement entropy using a graph neural network. 35034 - Abhisek Ganguly, Alessandro Gabbana, Vybhav Rao, Sauro Succi, Santosh Ansumali:
A kinetic-based regularization method for data science applications. 35035 - Federico Fontana, Thomas Jantos, Jan Steinbrener, Luigi Cinque, Gian Luca Foresti, Bernhard Rinner:
BiCrossNet: resource-efficient cross-view geolocalization with binary neural networks. 35036 - James P. Bagrow, Josh C. Bongard:
Multi-exit Kolmogorov-Arnold networks: enhancing accuracy and parsimony. 35037 - Amanda A. Howard, Bruno Jacob, Panos Stinis:
Multifidelity Kolmogorov-Arnold networks. 35038 - Simone Martino, Domiziano Doria, Chiara Lionello, Matteo Becchi, Giovanni M. Pavan:
A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information. 35039 - Ibrahim Elsharkawy, Benjamin Hooberman, Yonatan Kahn:
Uncertainty quantification from ensemble variance scaling laws in deep neural networks. 35040 - Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R. Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson:
Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks. 35041 - Dimitrios Iason Papadopoulos, George Giannakopoulos, Vangelis Karkaletsis, Christoforos Rekatsinas:
A data-lean machine learning approach for damage extent estimation and classification in composite structures under multiple failure modes. 35042 - Mohammad H. Alshayeji, Sa'ed Abed:
Heart disease prediction by tabular modeling with deep learning network and interpretability. 35043 - Lowie Tomme, István Lengyel, Florence H. Vermeire, Christian V. Stevens, Kevin M. Van Geem:
Accelerating reaction rate predictions: a machine learning approach using a novel quantum chemical property for nucleophilic aromatic substitutions. 35044 - Jun Tian, He Wang, Jibo He, Yu Pan, Shuo Cao, Qingquan Jiang:
Learning and interpreting gravitational-wave features from CNNs with a random forest approach. 35045 - Young Hoon Song, Mohamed Sanusi Shiru, Eun-Sung Chung:
A novel quintile multi-model ensemble approach for improving future extreme precipitation projections using XGBoost. 35046 - Sara Sheikhi, Wylie Stroberg, James D. Hogan:
Development and application of a high-dimensional neural network potential for boron carbide. 35047 - Mikel Casals, Vasilis Belis, Elías F. Combarro, Eduard Alarcón, Sofia Vallecorsa, Michele Grossi:
Guided graph compression for quantum graph neural networks. 35048 - Ahmed Hossam Mohammed, Kishansingh Rajput, Simon Taylor, Denis Furletov, Sergey Furletov, Malachi Schram:
Geometric GNNs for charged particle tracking at GlueX. 35049 - Arsenii Gavrikov, Julián García Pardiñas, Alberto Garfagnini:
DINAMO: Dynamic and INterpretable anomaly MOnitoring for large-scale particle physics experiments. 35050 - Kiichi Obuchi, Yuta Yahagi, Kiyohiko Toyama, Shukichi Tanaka, Kota Matsui:
Multi-modal cascade feature transfer for polymer property prediction. 35051 - Siwoo Lee, Jason Hattrick-Simpers, Young-June Kim, O. Anatole von Lilienfeld:
High- T c superconductor candidates proposed by machine learning. 35052 - Joshua Villarreal, Julia Woodward, John M. Hardin, Janet Marie Conrad:
A frequentist simulation-based inference treatment of sterile neutrino global fits. 35053 - Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Francesca Di Patti, Lorenzo Giambagli, Raffaele Marino:
Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. 35054 - Michael Kilgour, Mark E. Tuckerman, Jutta Rogal:
Multi-type point cloud autoencoder: a complete equivariant embedding for molecule conformation and pose. 35055 - Shahd M. Noman, Mayar Tarek Henedak, Mustafa Elattar:
Modular post-hoc enhancements for zero-shot histopathology classification using vision-language models. 35056 - Semih Kacmaz, Eliu A. Huerta, Roland Haas:
Resolving turbulent magnetohydrodynamics: a hybrid operator-diffusion framework. 35057 - Sihoon Choi, David S. Sholl, Andrew J. Medford:
D-MOPH-25: diverse MOF-molecule pairs for Henry's constants prediction *. 35058 - Ke Li, Bolin Song, Naiyao Wang, Zhen Wang, Ruijie Tian:
Physics-inspired self-learning framework for unsupervised depth estimation on non-Lambertian surfaces. 35059 - Bruno Jacob, Amanda A. Howard, Panos Stinis:
SPIKANs: separable physics-informed Kolmogorov-Arnold networks. 35060 - Quangong Ma, Chaolong Hao, Nianwen Si, Dan Qu:
Quantum architecture search for optimizing quantum generators in quantum GAN. 35061 - Antonio Malpica-Morales, Serafim Kalliadasis, George G. Malliaras, Amparo Güemes:
Data-driven prediction of blood glucose dynamics from vagus nerve recordings using neural controlled differential equations. 35062 - Gary Tom, Cher Tian Ser, Ella M. Rajaonson, Stanley Lo, Hyun Suk Park, Brian K. Lee, Benjamín Sánchez-Lengeling:
Does this smell the same? Learning representations of olfactory mixtures using inductive biases. 35063 - Lorena Alzate-Vargas, Kashi N. Subedi, Nicholas Lubbers, Michael W. D. Cooper, Roxanne M. Tutchton, Tammie Gibson, Richard A. Messerly:
Toward machine learning interatomic potentials for modeling uranium mononitride. 35064 - Andrea Ruiz-Escudero, Maxim Belii, Karam Nader, Maite Insausti, Idoia Castellanos-Rubio, Sonia Arrasate, Matthew M. Montemore, Humberto González Díaz:
IFE.PTML: advancing neurotherapeutic nanoparticle release-system design for enhanced brain delivery. 35065 - Mitchell Messerly, Sakib Matin, Alice E. A. Allen, Benjamin T. Nebgen, Kipton Barros, Justin S. Smith, Nicholas Lubbers, Richard A. Messerly:
Multi-fidelity learning for interatomic potentials: low-level forces and high-level energies are all you need*. 35066 - James Giroux, M. Martinez, Cristiano Fanelli:
Generative models for fast simulation of Cherenkov detectors at the electron-ion collider. 40501 - Yiming Zhang, Koji Tsuda:
NbBench: benchmarking language models for comprehensive nanobody tasks. 40502 - Ivan Sekulic, Jonas Schaible, Gabriel Müller, Matthias Plock, Sven Burger, Victor J. Martínez-Lahuerta, Naceur Gaaloul, Philipp-Immanuel Schneider:
Physics-informed Bayesian optimization of expensive-to-evaluate black-box functions. 40503 - Blanca Olivia Murillo-Ortiz, Luis Carlos Padierna, Íñigo Alonso Perea-Campos, Luis Fernando Parra-Sánchez, Sergio Meza-Chavolla, Samuel Rivera Rivera:
Mammo-MX: an x-ray mammography dataset for computer-aided diagnosis of breast cancer. 40601 - Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Ralph Bulanadi, Xiangyu Yin, Samuel S. Welborn, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin:
Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy. 40701 - Chuen-Wun Pai, Hung-Wei Hsueh, Shu-Han Hsu:
Reliability of deep learning models for scanning electron microscopy analysis. 45008 - Maria Luiza Mitu, Dorina Ticos, Nicoleta Udrea, Adrian Scurtu, Catalin Mihai Ticos:
Machine learning-based prediction of microparticle dynamics in externally driven strongly-coupled dusty plasmas. 45009 - Yanfeng Xie, Yiming Weng, Soo Hyun Byun:
HPGe-Compton Net: a physics-guided CNN for fast gamma spectra analysis via Compton region learning. 45010 - Anka Van de Walle, Markus Schmitt, Annabelle Bohrdt:
Many-body dynamics with explicitly time-dependent neural quantum states. 45011 - Yuheng Chen, Qing An, Weihua Yang, Zhongyuan Lai, Yuhua Wen, Tundong Liu:
SIGD: symmetry and interface guided diffusion architectures for inverse design engineering of 2D semiconductor materials. 45012 - Jorge I. Hernandez-Martinez, Andres Mendez-Vazquez, Gerardo Rodriguez-Hernandez, Sandra Leticia Juárez-Osorio:
Configuration interaction guided sampling with interpretable restricted Boltzmann machine. 45013 - Ergun Simsek, Sumya H. Oishe:
A multi-objective permittivity optimization for object classification at the speed of light. 45014 - Patrick Rieck, Kyle Cranmer, Etienne Dreyer, Eilam Gross, Nilotpal Kakati, Dmitrii Kobylianskii, Garrett W. Merz, Nathalie Soybelman:
Self-supervised learning strategies for jet physics. 45015 - Niklas Dormagen, Max Klein, Andreas S. Schmitz, Lukas Wimmer, Markus H. Thoma, Mike Schwarz:
Time-resolved classification of plasma crystals in a direct current discharge using an advanced graph neural network. 45016 - Amrita Ghosh, Mugdha Sarkar, Ying-Jer Kao, Pochung Chen:
Learning phases with quantum Monte Carlo simulation cell. 45017 - Callen MacPhee, Yiming Zhou, Bahram Jalali:
Physical data embedding for memory efficient AI. 45018 - Matthias Holzenkamp, Dongyu Lyu, Ulrich Kleinekathöfer, Peter Zaspel:
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials. 45019 - Aizhan Akhmetzhanova, Carolina Cuesta-Lázaro, Siddharth Mishra-Sharma:
Detecting model misspecification in cosmology with scale-dependent normalizing flows. 45020 - Jonathan P. Edelen, K. A Brown, N. M. Cook, Y. Gao, C. C. Hall, V. Schoefer:
Inverse model based error detection in beamline optics. 45021 - Nikita Janakarajan, Irina Espejo Morales, Marvin Alberts, Andrea Giovannini, Matteo Manica, Antonio Foncubierta-Rodríguez:
Unified lookup tables: training foundation models on encoded data. 45022 - Matthew Drnevich, Stephen Jiggins, Judith Katzy, Kyle Cranmer:
Neural quasiprobabilistic likelihood ratio estimation with negatively weighted data. 45023 - Tien Comlekoglu, Javier Quetzalcóatl Toledo-Marín, Douglas W. DeSimone, Shayn M. Peirce, Geoffrey C. Fox, James A. Glazier:
Generative diffusion model surrogates for mechanistic agent-based biological models. 45024 - Min Zhou, Xin Tan:
Convergence analysis of deep ReLU networks for solving integral equations. 45025 - Guoping Xu, Christopher Kabat, You Zhang:
Depthwise-dilated convolutional adapters for medical object tracking and segmentation using the segment anything model 2. 45026 - Tara Kit, Kimsay Pov, Kimleang Kea, Won-Du Chang, Hee Chul Park, Youngsun Han:
Enhancing a convolutional autoencoder with a quantum approximate optimization algorithm for image noise reduction. 45027 - Hauke Maathuis, Roeland de Breuker, Saullo G. P. Castro:
Autoencoder-enhanced joint dimensionality reduction for constrained Bayesian optimisation. 45028 - Saiyam B. Jain, Zongru Shao, Michael Hecht:
Automated detection of potential artifacts in machine learning based bio-image segmentation. 45029 - Yangrui Hu, Yi Hong Teoh, William Witczak-Krempa, Roger G. Melko:
Neural network enhanced cross entropy benchmark for monitored circuits. 45030 - Mehmet Sergen Catal, Abdurrahman Gumus, Ozlem Karabiber Cura, Ocan Aydin, Mehmet Zübeyir Ünlü:
Vision-language model approach for few-shot learning of attention deficit hyperactivity disorder using EEG connectivity-based featured images. 45031 - Olivia Jullian Parra, Julián García Pardiñas, Lorenzo Del Pianta Pérez, Maximilian Janisch, Suzanne Klaver, Thomas Lehéricy, Nicola Serra:
Human-in-the-loop reinforcement learning for data quality monitoring in particle physics experiments. 45032 - Zheng Tu, Jinchen Xu, Xin Zhou, Yu Zhu, Yi Liu, Qiming Du, Hang Lian, Bei Zhou:
QEMOS: a scalable quantum error mitigation method to overcome qubit sensitivity. 45033 - Alessandro Puleio, Riccardo Rossi, J. Grzesiak, Arne Walter, Frank Duschek, Pasquale Gaudio:
Spatially-resolved fluorescence (SRF) and deep-learning algorithms for the measurement of agents' concentrations. 45034 - Xiang Liu, Junjie Wee, Guo-Wei Wei:
Topological machine learning for protein-nucleic acid binding affinity changes upon mutation. 45035 - Vispi Karkaria, Doksoo Lee, Yi-Ping Chen, Yue Yu, Wei Chen:
An attention-based spatio-temporal neural operator for evolving physics. 45036 - Venkatakrishnan S. V, Ke An, Yousub Lee, Thomas Feldhausen, Lauren Heinrich, Stephen Dewitt:
Simulation driven adaptive sampling for neutron-diffraction based strain mapping of additively manufactured parts *. 45037 - Rory Clements, James Ellis, Geoff Hassall, Simon Horsley, Gavin R. Tabor:
Plane-wave decomposition and randomised training; a novel path to generalised physics-informed neural networks for simple harmonic motion. 45038 - Luk Fleddermann, Ulrich Parlitz, Gerrit Wellecke:
Improving the prediction of spatio-temporal chaos by combining parallel reservoir computing with dimensionality reduction. 45039 - Yangshuai Wang, Drake Clark, Sambit Das, Ziyan Zhu, Daniel Massatt, Vikram Gavini, Mitchell Luskin, Christoph Ortner:
An atomic cluster expansion potential for twisted multilayer graphene. 45040 - Maximilian Dinkel, Gil Robalo Rei, Wolfgang A. Wall:
Dynamic learning rate decay for stochastic variational inference. 45041 - Yuan Ni, Zhantao Chen, Alexander N. Petsch, Edmund Xu, Cheng Peng, Alexander I. Kolesnikov, Sugata Chowdhury, Arun Bansil, Jana B. Thayer, Joshua J. Turner:
Physics-guided dual implicit neural representations for source separation. 45042 - Viet Anh Nguyen, Nhat Khang Ngo, Truong-Son Hy:
Range-aware graph positional encoding via high-order pretraining: theory and practice. 45043 - Changbeom Hong, Chan Lim, Jaeho Oh, Jong-Bong Lee, Euddeum Eojin Jeong, Joo-Yeon Yoo, Won Kyu Kim, Jae-Hyung Jeon:
Inferring spatially varying bending stiffness of biopolymers with deep-learning approach. 45044 - Blaine Quackenbush, Paul J. Atzberger:
Transferable foundation models for geometric tasks on point cloud representations: geometric neural operators. 45045 - Yingjie Zhao, Zhiping Xu:
Neural network modeling of microstructure complexity using digital libraries *. 45046 - Kinga Anna Wozniak, Stephen Mulligan, Jan Kieseler, Markus Klute, François Fleuret, Tobias Golling:
End-to-end optimal detector design with mutual information surrogates. 45047 - Chanju Park, Biagio Lucini, Gert Aarts:
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks. 45048 - Mads-Peter V. Christiansen, Bjørk Hammer:
Gradient-based grand canonical optimization enabled by graph neural networks with fractional atomic existence. 45049 - Yuhong Liu, Haiyang Fu, Liang Wang, Chuanfei Dong, Shichen Wei, Yitian Xi, Chaoshi Shang, Yilan Qin:
Data-driven modeling of electrostatic turbulence by physics-informed Fourier neural operator. 45050 - Vishal S. Ngairangbam, Blazej Rozwoda, Kazuki Sakurai, Michael Spannowsky:
Enhancing anomaly detection with topology-aware autoencoders. 45051 - Gonzalo Rosa-Olmeda, Sara Hiller-Vallina, Manuel Villa, Massimo Salvi, Ricardo Gargini, Miguel Chavarrías:
Deep learning-driven glioblastoma diagnosis from histopathological images via single-cell segmentation and morphological analysis. 45052 - Afrah Farea, Saiful Khan, Mustafa Serdar Çelebi:
QCPINN: quantum-classical physics-informed neural networks for solving PDEs. 45053 - Abhiroop Bhattacharya, Sylvain G. Cloutier:
MatMMFuse: Multimodal fusion model for material property prediction. 45054 - Shota Deguchi, Mitsuteru Asai:
Reliable and efficient inverse analysis using physics-informed neural networks with normalized distance functions and adaptive weight tuning. 45055 - Yin Gu, Huimin Guo, Qisen Tu, Yuhua Gao, Yuexian Li, Ming Cui, Wei Qian, Lin Zhang, He Ma:
BCTVNet: a 3D Hybrid segmentation neural network for clinical target volume delineation of cervical cancer brachytherapy. 45056 - David Fitzek, Yi Hong Teoh, H. P. Cyrus Fung, Gebremedhin A Dagnew, Ejaaz Merali, M. Schuyler Moss, Benjamin MacLellan, Roger G. Melko:
RydbergGPT. 45057 - Biprateep Dey, David Zhao, Brett H. Andrews, Jeffrey A. Newman, Rafael Izbicki, Ann B. Lee:
Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR). 45058 - Fernando Martínez García, Alvaro Rubio García, Samuel Fernández-Lorenzo, Juan José García-Ripoll, Diego Porras:
Optimised feature subset selection via simulated annealing. 45059 - William Sutcliffe, Marta Calvi, Simone Capelli, Jonas Eschle, Julián García Pardiñas, Abhijit Mathad, Azusa Uzuki, Nicola Serra:
Scalable multi-task learning for particle collision event reconstruction with heterogeneous graph neural networks. 45060 - Rushik Desai, Junyeong Ahn, Alejandro Strachan, Arun Mannodi-Kanakkithodi:
Bridging the synthesizability gap in perovskites by combining computations, literature data, and PU learning. 45061 - Lorenzo Borella, Alberto Coppi, Andrea Triossi, Jacopo Pazzini, Marco Zanetti, Andrea Stanco, Marco Trenti:
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA. 45062 - Yoevita Emeliana, Benedicta Loveni Melkisedek, Intan Nurma Yulita, Irwan Ary Dharmawan:
Residual attention U-Net for predicting fluid dynamics and permeability in two-dimensional digital porous rocks. 45063 - Boyang Zhu, Yijun Zou, Xuchen Tang, Yuting Zhang, Yang Su, Wei Nie, Wang Sun, Xiaodong Liu:
Machine learning-based multi-classification of space signals from the solar orbiter mission. 45064 - Anuraag Mishra, Andrea Gilch, Benjamin Apeleo Zubiri, Jan Rolfes, Frauke Liers:
High-quality tomographic image reconstruction integrating neural networks and mathematical optimization. 45065 - Meng Li, Juntong Yun, Dingxi Liu, Daixiang Jiang, Hanlin Xiong, Du Jiang, Shunbo Hu, Rong Liu, Gongfa Li:
SBDFNet: a deep learning-based multiclass segmentation method via boundary distance fields. 45066
Volume 6, Number 3, 2025
- Oz Amram, Luca Anzalone, Joschka Birk, Darius A. Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-González, David Shih:
Aspen Open Jets: unlocking LHC data for foundation models in particle physics. 30601 - Péter Pósfay, Marcell T. Kurbucz, Péter Kovács, Antal Jakovác:
Lightweight ECG signal classification via linear law-based feature extraction. 35001 - Sergei Manzhos, Johann Lüder, Pavlo Golub, Manabu Ihara:
Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory. 35002 - Dileep Kumar Soother, Manuel Domínguez Pumar, Beatriz Otero Calviño, Joan Pons-Nin, Josefina Torres, Mercedes Marín, Javier Gómez-Elvira, Luis Mora, Sara Navarro, José Antonio Rodríguez Manfredi:
Enhancing space sensor resilience with transfer learning in data-scarce scenarios. 3
Volume 6, Number 4, 2025
- Santiago Miret, Marta Skreta, Geemi P. Wellawatte, Stefano Martiniani, N. M. Anoop Krishnan, George Karypis, Kevin Maik Jablonka:
Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024. 40201 - Ema Puljak, Maurizio Pierini, Artur García-Sáez:
Tensor network for anomaly detection in the latent space of proton collision events at the LHC. 45001 - Quangong Ma, Chaolong Hao, Nianwen Si, Dan Qu:
Quantum generative adversarial networks with dual generators. 45002 - Marcel Kühn, Bernd Rosenow:
Anti-correlated noise in epoch-based stochastic gradient descent: implications for weight variances in flat directions. 45003 - Rick Oerder, Gerrit Schmieden, Jan Hamaekers:
Multi-fidelity learning for atomistic models via trainable data embeddings. 45004 - Fuyong Zhao, Yuyang Li, Zhenyu Liu, Panfeng Chen, Cunshi Wang, Jifeng Liu, Hui Li, Yanhao Wang:
Unveiling the power of multimodal large language models for radio astronomical image understanding and question answering. 45005 - Orkun Furat, Phillip Gräfensteiner, Rishabh Saxena, Markus Osenberg, Matthias Neumann, Ingo Manke, Thomas Carraro, Volker Schmidt:
Super-resolving 3D nanostructures using artificially generated image data and spatial transport simulations. 45006 - Tirtha Vinchurkar, Kareem Abdelmaqsoud, John R. Kitchin:
Uncertainty quantification in graph neural networks with shallow ensembles. 45007 - Sebastian Eibl, Yi Yao, Matthias Scheffler, Markus Rampp, Luca M. Ghiringhelli, Thomas A. R. Purcell:
A high-performance and portable implementation of the SISSO method for CPUs and GPUs. 47001
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