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Publication search results
found 2,031 matches
- 2024
- Peide Zhang, David Lowndes, Milan Stefko, Daniel Kuan Li Oi, John G. Rarity:
Modelling and experimental testing of an optical synchronisation beacon designed for high-loss satellite quantum communication. IET Quantum Commun. 5(1): 52-65 (2024) - Quentin Batista, Chase Coleman, Yuya Furusawa, Shu Hu, Smit Lunagariya, Spencer Lyon, Matthew McKay, Daisuke Oyama, Thomas J. Sargent, Zejin Shi, John Stachurski, Pablo Winant, Natasha Watkins, Ziyue Yang, Hengcheng Zhang:
QuantEcon.py: A community based Python library for quantitative economics. J. Open Source Softw. 9(93): 5585 (2024) - Reid A. Johnson:
quantile-forest: A Python Package for Quantile Regression Forests. J. Open Source Softw. 9(94): 5976 (2024) - David Schmid, John H. Selby, Matthew F. Pusey, Robert W. Spekkens:
A structure theorem for generalized-noncontextual ontological models. Quantum 8: 1283 (2024) - Steven Jorgensen, John T. Holodnak, Jensen Dempsey, Karla de Souza, Ananditha Raghunath, Vernon Rivet, Noah Demoes, Andrés Alejos, Allan B. Wollaber:
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification. IEEE Trans. Artif. Intell. 5(1): 420-433 (2024) - Srikar Kasi, John Kaewell, Kyle Jamieson:
A Quantum Annealer-Enabled Decoder and Hardware Topology for NextG Wireless Polar Codes. IEEE Trans. Wirel. Commun. 23(4): 3780-3794 (2024) - Anne Grohnert, Michael John, Benny Häusler, Christian Giertz, Mirko Wolschke, Jana Liebach, Rona Reibis, Anne Klemmer, Lisa Konrad, Silke Kollath, Jan C. Zoellick:
Quantified Health: A Feasibility Study on a Sensor-Based Feedback and Assistance System in Cardiology, Oncology and Orthopaedics. BIOSTEC (2) 2024: 628-637 - Adam Bene Watts, John Bostanci:
Quantum Event Learning and Gentle Random Measurements. ITCS 2024: 97:1-97:22 - Andrew M. Netherton, Mario Dumont, Zachary Nelson, Jinesh Jhonsa, Alice Mo, Jahyun Koo, David McCarthy, Noah Pestana, Skylar Deckoff-Jones, Christopher V. Poulton, Michael Frankel, Jock Bovington, Luke Theogarajan, John E. Bowers:
25.1 Short-Reach Silicon Photonic Interconnects with Quantum Dot Mode Locked Laser Comb Sources. ISSCC 2024: 422-424 - John Zhong, Konstantinos Vasilakopoulos, Antonio Liscidini:
4.5 A Reconfigurable, Multi-Channel Quantized-Analog Transmitter with <-35dB EVM and <-51dBc ACLR in 22nm FDSOI. ISSCC 2024: 84-86 - John N. Spitzmiller:
Spatial Processing with High-Fidelity Antenna Models and Quantized Analog Weights. RWS 2024: 26-28 - Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Ziping Xu, Seychelle M. Vos, Michael A. Cianfrocco:
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. WACV 2024: 7877-7887 - Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandra Shekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi:
Adiabatic Quantum Support Vector Machines. CoRR abs/2401.12485 (2024) - Andrei Tomut, Saeed S. Jahromi, Sukhbinder Singh, Faysal Ishtiaq, César Muñoz, Prabdeep Singh Bajaj, Ali Elborady, Gianni Del Bimbo, Mehrazin Alizadeh, David Montero, Pablo Martin-Ramiro, Muhammad Ibrahim, Oussama Tahiri-Alaoui, John Malcolm, Samuel Mugel, Roman Orus:
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks. CoRR abs/2401.14109 (2024) - Nikolai Matni, Aaron D. Ames, John C. Doyle:
Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control. CoRR abs/2401.15185 (2024) - Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaïchouche, Pierre Tandeo, Ronan Fablet:
SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. CoRR abs/2402.01855 (2024) - Nicholas J. C. Papadopoulos, Jarrod T. Reilly, John Drew Wilson, Murray J. Holland:
Reductive Quantum Phase Estimation. CoRR abs/2402.04471 (2024) - Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury:
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. CoRR abs/2402.10980 (2024) - Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl:
Democratizing Uncertainty Quantification. CoRR abs/2402.13768 (2024) - Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli:
Quantum Circuit Optimization with AlphaTensor. CoRR abs/2402.14396 (2024) - Minsung Kim, Abhishek Kumar Singh, Davide Venturelli, John Kaewell, Kyle Jamieson:
X-ResQ: Reverse Annealing for Quantum MIMO Detection with Flexible Parallelism. CoRR abs/2402.18778 (2024) - Justin Kalloor, Mathias Weiden, Ed Younis, John Kubiatowicz, Bert De Jong, Costin Iancu:
Quantum Hardware Roofline: Evaluating the Impact of Gate Expressivity on Quantum Processor Design. CoRR abs/2403.00132 (2024) - Krzysztof Gogol, Johnnatan Messias, Deborah Miori, Claudio J. Tessone, Benjamin Livshits:
Quantifying Arbitrage in Automated Market Makers: An Empirical Study of Ethereum ZK Rollups. CoRR abs/2403.16083 (2024) - 2023
- John R. Klauder, Riccardo Fantoni:
The Magnificent Realm of Affine Quantization: Valid Results for Particles, Fields, and Gravity. Axioms 12(10): 911 (2023) - Sean Upchurch, Emilio Palumbo, Jeremy Adams, David Bujold, Guillaume Bourque, Jared Nedzel, Keenan Graham, Meenakshi S. Kagda, Pedro Assis, Benjamin Hitz, Emilio Righi, Roderic Guigó, Barbara J. Wold, Alvis Brazma, Julia Burchard, Joe Capka, Michael Cherry, Laura Clarke, Brian Craft, Manolis Dermitzakis, Mark Diekhans, John Dursi, Michael Sean Fitzsimons, Zac Flaming, Romina Garrido, Alfred Gil, Paul Godden, Matt Green, Mitch Guttman, Brian Haas, Max Haeussler, Bo Li, Sten Linnarsson, Adam Lipski, David Liu, Simonne Longerich, David Lougheed, Jonathan Manning, John C. Marioni, Christopher Meyer, Stephen B. Montgomery, Alyssa Morrow, Alfonso Muñoz-Pomer Fuentes, Jared L. Nedzel, David Nguyen, Kevin Osborn, Francis Ouellette, Irene Papatheodorou, Dmitri D. Pervouchine, Arun K. Ramani, Jordi Rambla, Bashir Sadjad, David Steinberg, Jeremiah Talkar, Timothy Tickle, Kathy Tzeng, Saman Vaisipour, Sean Watford, Barbara Wold, Zhenyu Zhang, Jing Zhu:
RNAget: an API to securely retrieve RNA quantifications. Bioinform. 39(4) (2023) - Christopher Lundy, Geraldine B. Boylan, Sean Mathieson, Jacopo Proietti, John M. O'Toole:
Quantitative analysis of high-frequency activity in neonatal EEG. Comput. Biol. Medicine 165: 107468 (2023) - Dennis K. Njeru, Tushar M. Athawale, Jessie France, Chris R. Johnson:
Quantifying and Visualizing Uncertainty for Source Localisation in Electrocardiographic Imaging. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 812-822 (2023) - Anand Panchbhai, Munuse C. Savash Ishanzadeh, Ahmed Sidali, Nadeen Solaiman, Smarana Pankanti, Radhakrishnan Kanagaraj, John J. Murphy, Kalpana Surendranath:
A deep learning workflow for quantification of micronuclei in DNA damage studies in cultured cancer cell lines: A proof of principle investigation. Comput. Methods Programs Biomed. 232: 107447 (2023) - Gunnar P. Epping, Elizabeth L. Fisher, Ariel M. Zeleznikow-Johnston, Emmanuel M. Pothos, Naotsugu Tsuchiya:
A Quantum Geometric Framework for Modeling Color Similarity Judgments. Cogn. Sci. 47(1) (2023)
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