A Critical Review of Cybersecurity Education in the United States - James Crabb; Christopher D. Hundhausen; Assefaw Gebremedhin (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 1, Portland, OR, USA, March 20-23, 2024, 2024)

Leveraging Kotter's 8 Stage Model of Organizational Change to Understand Broadening Participation in Computing - Kari L. George; Max Fowler; Vidushi Ojha; Morgan M. Fong; Kathleen Isenegger; Christopher Perdriau; Mariam Saffar Perez; Yael Gertner; Colleen M. Lewis (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 2, Portland, OR, USA, March 20-23, 2024, 2024)

Teaching Track Faculty in Computer Science - Olga Glebova; Chris Gregg; Melinda McDaniel; Laney Strange (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 2, Portland, OR, USA, March 20-23, 2024, 2024)

PyodideU: Unlocking Python Entirely in a Browser for CS1 - Thomas Jefferson; Chris Gregg; Chris Piech (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 1, Portland, OR, USA, March 20-23, 2024, 2024)

The Diversity-Hire Narrative in CS: Sources, Impacts, and Responses - Christopher Perdriau; Vidushi Ojha; Kaitlynn T. Gray; Brent Lagesse; Colleen M. Lewis (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 1, Portland, OR, USA, March 20-23, 2024, 2024)

Attitudes Towards the Use (and Misuse) of ChatGPT: A Preliminary Study - Michael P. Rogers; Hannah Miller Hillberg; Christopher L. Groves (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 1, Portland, OR, USA, March 20-23, 2024, 2024)

Investigating Student Mistakes in Introductory Data Science Programming - Anjali Singh; Anna Fariha; Christopher Brooks; Gustavo Soares; Austin Z. Henley; Ashish Tiwari; Chethan M; Heeryung Choi; Sumit Gulwani (Proceedings of the 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024, Volume 1, Portland, OR, USA, March 20-23, 2024, 2024)

Oracle Efficient Online Multicalibration and Omniprediction - Sumegha Garg; Christopher Jung; Omer Reingold; Aaron Roth (Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, SODA 2024, Alexandria, VA, USA, January 7-10, 2024, 2024)

Disaggregated Distributed AI Chat Enabler (D2ACE) System - Paul C. Hershey; Mu-Cheng Wang; Jennifer N. Coston; Jennifer L. Ryan; Brian D. Scarpiniti; Darin G. Kabalkin; Christopher Raytheon (IEEE International Systems Conference, SysCon 2024, Montreal, QC, Canada, April 15-18, 2024, 2024)

LensLeech: On-Lens Interaction for Arbitrary Camera Devices - Christopher Getschmann; Florian Echtler (Proceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2024, Cork, Ireland, February 11-14, 2024, 2024)

Kfeature: Rendering the Kconfig System into Feature Models - Kaan Berk Yaman; Jan Willem Wittler; Christopher Gerking (Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems, VaMoS 2024, Bern, Switzerland, February 7-9, 2024, 2024)

Real-Time Virtual Human for Promoting Clinical Trial Education and Recruitment - Rashi Ghosh; Andrew Maxim; Christopher You; Benjamin Lok (IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VR Workshops 2024, Orlando, FL, USA, March 16-21, 2024, 2024)

VR Geoscience Education: Building Spatial Reasoning Skills - Katharine E. Johanesen; J. Adam Jones; Territa Poole; Katherine Ryker; Christopher Green (IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VR Workshops 2024, Orlando, FL, USA, March 16-21, 2024, 2024)

Universal Access for Social XR Across Devices: The Impact of Immersion on the Experience in Asymmetric Virtual Collaboration - Christian Merz; Christopher Göttfert; Carolin Wienrich; Marc Erich Latoschik (IEEE Conference Virtual Reality and 3D User Interfaces, VR 2024, Orlando, FL, USA, March 16-21, 2024, 2024)

A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing - D. Wilson; Nad E. Gilbert; Matt Spear; J. Short; Christopher H. Bennett; William Wahby; J. Kim; Robin Jacobs-Gedrim; Tianyao Patrick Xiao; S. Agarwal; Matthew J. Marinella (42nd IEEE VLSI Test Symposium, VTS 2024, Tempe, AZ, USA, April 22-24, 2024, 2024)

Shape from Shading for Robotic Manipulation - Arkadeep Narayan Chaudhury; Leonid Keselman; Christopher G. Atkeson (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images - Patrick Grady; Jeremy A. Collins; Chengcheng Tang; Christopher D. Twigg; Kunal Aneja; James Hays; Charles C. Kemp (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting - Lukas Mehl; Andrés Bruhn; Markus H. Gross; Christopher Schroers (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

MQfilTTr: Strengthening Smart Home Privacy Through MQTT Traffic Manipulation - Henrich C. Pöhls; Sven Gebauer; Fabian Scharnböck; Korbinian Spielvogel; Joachim Posegga (Information Security Theory and Practice - 14th IFIP WG 11.2 International Conference, WISTP 2024, Paris, France, February 29 - March 1, 2024, Proceedings, 2024)

User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization - Yang Cai; Zhe Feng; Christopher Liaw; Aranyak Mehta; Grigoris Velegkas (Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024)

Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation - Yun-Wei Chu; Dong-Jun Han; Christopher G. Brinton (Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024, 2024)

Proceedings of the AAAI 2024 Spring Symposium Series, Stanford, CA, USA, March 25-27, 2024 - Ron P. A. Petrick; Christopher W. Geib (AAAI Press, 2024)

Artificial Intelligence. ECAI 2023 International Workshops - XAI\(^3\), TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I - Slawomir Nowaczyk; Przemyslaw Biecek; Neo Christopher Chung; Mauro Vallati; Pawel Skruch; Joanna Jaworek-Korjakowska; Simon Parkinson; Alexandros Nikitas; Martin Atzmüller; Tomás Kliegr; Ute Schmid; Szymon Bobek; et al. (Springer, 2024)

Artificial Intelligence. ECAI 2023 International Workshops - XAI\(^3\), TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II - Slawomir Nowaczyk; Przemyslaw Biecek; Neo Christopher Chung; Mauro Vallati; Pawel Skruch; Joanna Jaworek-Korjakowska; Simon Parkinson; Alexandros Nikitas; Martin Atzmüller; Tomás Kliegr; Ute Schmid; Szymon Bobek; et al. (Springer, 2024)

Assessing your Observatory's Impact: Best Practices in Establishing and Maintaining Observatory Bibliographies - Raffaele D'Abrusco; Monique Gomez; Uta Grothkopf; Sharon Hunt; Ruth Kneale; Mika Konuma; Jenny Novacescu; Luisa Rebull; Elena Scire; Erin Scott; Donna Thompson; Lance Utley; et al. (CoRR, 2024)

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm - Lujia Wang; Hairong Wang; Fulvio D'Angelo; Lee Curtin; Christopher P. Sereduk; Gustavo De Leon; Kyle W. Singleton; Javier Urcuyo; Andrea Hawkins-Daarud; Pamela R. Jackson; Chandan Krishna; Richard S. Zimmerman; et al. (CoRR, 2024)

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches - Junghoon Kim; Taejoon Kim; Anindya Bijoy Das; Seyyedali Hosseinalipour; David J. Love; Christopher G. Brinton (CoRR, 2024)

An Interdisciplinary Survey on Information Flows in Supply Chains - Jan Pennekamp; Roman Matzutt; Christopher Klinkmüller; Lennart Bader; Martin Serror; Eric Wagner; Sidra Malik; Maria Spiß; Jessica Rahn; Tan Gürpinar; Eduard Vlad; Sander J. J. Leemans; et al. (CoRR, 2024)

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies - Yu-Ning Huang; Michael I. Love; Cynthia Flaire Ronkowski; Dhrithi Deshpande; Lynn M. Schriml; Annie Wong-Beringer; Barend Mons; Russell Corbett-Detig; Christopher I Hunter; Jason H. Moore; Lana X. Garmire; T. B. K. Reddy; et al. (CoRR, 2024)

Building Efficient and Effective OpenQA Systems for Low-Resource Languages - Emrah Budur; Riza Özçelik; Dilara Soylu; Omar Khattab; Tunga Güngör; Christopher Potts (CoRR, 2024)

Mixtral of Experts - Albert Q. Jiang; Alexandre Sablayrolles; Antoine Roux; Arthur Mensch; Blanche Savary; Chris Bamford; Devendra Singh Chaplot; Diego de Las Casas; Emma Bou Hanna; Florian Bressand; Gianna Lengyel; Guillaume Bour; et al. (CoRR, 2024)

High-precision Voice Search Query Correction via Retrievable Speech-text Embedings - Christopher Li; Gary Wang; Kyle Kastner; Heng Su; Allen Chen; Andrew Rosenberg; Zhehuai Chen; Zelin Wu; Leonid Velikovich; Pat Rondon; Diamantino Caseiro; Petar S. Aleksic (CoRR, 2024)

Towards Conversational Diagnostic AI - Tao Tu; Anil Palepu; Mike Schaekermann; Khaled Saab; Jan Freyberg; Ryutaro Tanno; Amy Wang; Brenna Li; Mohamed Amin; Nenad Tomasev; Shekoofeh Azizi; Karan Singhal; et al. (CoRR, 2024)

Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries - Boyang Chen; Claire E. Heaney; Jefferson L. M. A. Gomes; Omar K. Matar; Christopher C. Pain (CoRR, 2024)

Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation - Yun-Wei Chu; Dong-Jun Han; Christopher G. Brinton (CoRR, 2024)

Concept Alignment - Sunayana Rane; Polyphony J. Bruna; Ilia Sucholutsky; Christopher T. Kello; Thomas L. Griffiths (CoRR, 2024)

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators - Christopher Agia; Guillem Casadesus Vila; Saptarshi Bandyopadhyay; David S. Bayard; Kar-Ming Cheung; Charles H. Lee; Eric Wood; Ian Aenishanslin; Steven Ardito; Lorraine M. Fesq; Marco Pavone; Issa A. D. Nesnas (CoRR, 2024)

Differential Privacy in Hierarchical Federated Learning: A Formal Analysis and Evaluation - Frank Po-Chen Lin; Christopher G. Brinton (CoRR, 2024)

Accelerating Seed Location Filtering in DNA Read Mapping Using a Commercial Compute-in-SRAM Architecture - Courtney Golden; Dan Ilan; Nicholas Cebry; Christopher Batten (CoRR, 2024)

A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments - Zhengxuan Wu; Atticus Geiger; Jing Huang; Aryaman Arora; Thomas Icard; Christopher Potts; Noah D. Goodman (CoRR, 2024)

Deep Learning-based Intraoperative MRI Reconstruction - Jon André Ottesen; Tryggve Storas; Svein Are Sirirud Vatnehol; Grethe Løvland; Einar O. Vik-Mo; Till Schellhorn; Karoline Skogen; Christopher Larsson; Atle Bjørnerud; Inge Rasmus Groote-Eindbaas; Matthan W. A. Caan (CoRR, 2024)

Learning Universal Predictors - Jordi Grau-Moya; Tim Genewein; Marcus Hutter; Laurent Orseau; Grégoire Delétang; Elliot Catt; Anian Ruoss; Li Kevin Wenliang; Christopher Mattern; Matthew Aitchison; Joel Veness (CoRR, 2024)

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection - Liangqi Yuan; Dong-Jun Han; Su Wang; Devesh Upadhyay; Christopher G. Brinton (CoRR, 2024)

Multiscale Parallel Tempering for Fast Sampling on Redistricting Plans - Gabriel Chuang; Gregory Herschlag; Jonathan C. Mattingly (CoRR, 2024)

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval - Parth Sarthi; Salman Abdullah; Aditi Tuli; Shubh Khanna; Anna Goldie; Christopher D. Manning (CoRR, 2024)

Explainable AI for survival analysis: a median-SHAP approach - Lucile Ter-Minassian; Sahra Ghalebikesabi; Karla Diaz-Ordaz; Chris C. Holmes (CoRR, 2024)

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI - Theodore Papamarkou; Maria Skoularidou; Konstantina Palla; Laurence Aitchison; Julyan Arbel; David B. Dunson; Maurizio Filippone; Vincent Fortuin; Philipp Hennig; José Miguel Hernández-Lobato; Aliaksandr Hubin; Alexander Immer; et al. (CoRR, 2024)

Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties - Jasmine Chiat Ling Ong; Liyuan Jin; Kabilan Elangovan; Gilbert Yong San Lim; Daniel Yan Zheng Lim; Gerald Gui Ren Sng; Yuhe Ke; Joshua Yi Min Tung; Ryan Jian Zhong; Christopher Ming Yao Koh; Keane Zhi Hao Lee; Xiang Chen; et al. (CoRR, 2024)

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities - Zhifeng Kong; Arushi Goel; Rohan Badlani; Wei Ping; Rafael Valle; Bryan Catanzaro (CoRR, 2024)

Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training - Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

Future Directions in Foundations of Graph Machine Learning - Christopher Morris; Nadav Dym; Haggai Maron; İsmail İlkan Ceylan; Fabrizio Frasca; Ron Levie; Derek Lim; Michael M. Bronstein; Martin Grohe; Stefanie Jegelka (CoRR, 2024)

Object Graph Programming - Aditya Thimmaiah; Leonidas Lampropoulos; Christopher J. Rossbach; Milos Gligoric (CoRR, 2024)

Instance Segmentation XXL-CT Challenge of a Historic Airplane - Roland Gruber; Johann Christopher Engster; Markus Michen; Nele Blum; Maik Stille; Stefan Gerth; Thomas Wittenberg (CoRR, 2024)

Security Advice for Parents and Children About Content Filtering and Circumvention as Found on YouTube and TikTok - Ran Elgedawy; John Sadik; Anuj Gautam; Trinity Bissahoyo; Christopher Childress; Jacob Leonard; Clay Shubert; Scott Ruoti (CoRR, 2024)

Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees - Shahryar Zehtabi; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design - Samuel Garcin; James Doran; Shangmin Guo; Christopher G. Lucas; Stefano V. Albrecht (CoRR, 2024)

Large Language Models As MOOCs Graders - Shahriar Golchin; Nikhil Garuda; Christopher Impey; Matthew C. Wenger (CoRR, 2024)

A linear dissipativity approach to incremental input-to-state stability for a class of positive Lur'e systems - Violaine Piengeon; Chris Guiver (CoRR, 2024)

Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study - Esra Adiyeke; Yuanfang Ren; Benjamin Shickel; Matthew M. Ruppert; Ziyuan Guan; Sandra L. Kane-Gill; Raghavan Murugan; Nabihah Amatullah; Britney A. Stottlemyer; Tiffany L. Tran; Dan Ricketts; Christopher M. Horvat; et al. (CoRR, 2024)

A Roadmap to Pluralistic Alignment - Taylor Sorensen; Jared Moore; Jillian Fisher; Mitchell L. Gordon; Niloofar Mireshghallah; Christopher Michael Rytting; Andre Ye; Liwei Jiang; Ximing Lu; Nouha Dziri; Tim Althoff; Yejin Choi (CoRR, 2024)

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology - Matthew Ho; Deaglan J. Bartlett; Nicolas Chartier; Carolina Cuesta-Lázaro; Simon Ding; Axel Lapel; Pablo Lemos; Christopher C. Lovell; T. Lucas Makinen; Chirag Modi; Viraj Pandya; Shivam Pandey; et al. (CoRR, 2024)

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning - Gangda Deng; Hongkuan Zhou; Hanqing Zeng; Yinglong Xia; Christopher Leung; Jianbo Li; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2024)

GPT-4 Generated Narratives of Life Events using a Structured Narrative Prompt: A Validation Study - Christopher J. Lynch; Erik J. Jensen; Madison H. Munro; Virginia Zamponi; Joseph Martinez; Kevin O'Brien; Brandon Feldhaus; Katherine Smith; Ann Marie Reinhold; Ross Gore (CoRR, 2024)

Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants - Bhavya Chopra; Yasharth Bajpai; Param Biyani; Gustavo Soares; Arjun Radhakrishna; Chris Parnin; Sumit Gulwani (CoRR, 2024)

Scalable Interactive Machine Learning for Future Command and Control - Anna Madison; Ellen R. Novoseller; Vinicius G. Goecks; Benjamin T. Files; Nicholas R. Waytowich; Alfred Yu; Vernon J. Lawhern; Steven Thurman; Christopher Kelshaw; Kaleb McDowell (CoRR, 2024)

ODIN: Disentangled Reward Mitigates Hacking in RLHF - Lichang Chen; Chen Zhu; Davit Soselia; Jiuhai Chen; Tianyi Zhou; Tom Goldstein; Heng Huang; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT - Jon Saad-Falcon; Daniel Y. Fu; Simran Arora; Neel Guha; Christopher Ré (CoRR, 2024)

Weisfeiler-Leman at the margin: When more expressivity matters - Billy J. Franks; Christopher Morris; Ameya Velingker; Floris Geerts (CoRR, 2024)

Re-Envisioning Command and Control - Kaleb McDowell; Ellen R. Novoseller; Anna Madison; Vinicius G. Goecks; Christopher Kelshaw (CoRR, 2024)

The Last JITAI? The Unreasonable Effectiveness of Large Language Models in Issuing Just-in-Time Adaptive Interventions: Fostering Physical Activity in a Prospective Cardiac Rehabilitation Setting - David Haag; Devender Kumar; Sebastian Gruber; Mahdi Sareban; Gunnar Treff; Josef Niebauer; Christopher Bull; Jan David Smeddinck (CoRR, 2024)

Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features - Myeung Suk Oh; Anindya Bijoy Das; Taejoon Kim; David J. Love; Christopher G. Brinton (CoRR, 2024)

Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning - Seohyun Lee; Anindya Bijoy Das; Satyavrat Wagle; Christopher G. Brinton (CoRR, 2024)

Feature Accentuation: Revealing 'What' Features Respond to in Natural Images - Chris J. Hamblin; Thomas Fel; Srijani Saha; Talia Konkle; George A. Alvarez (CoRR, 2024)

A Landscape Study of Open Source and Proprietary Tools for Software Bill of Materials (SBOM) - Mehdi Mirakhorli; Derek Garcia; Schuyler Dillon; Kevin Laporte; Matthew Morrison; Henry Lu; Viktoria Koscinski; Christopher Enoch (CoRR, 2024)

Prospector Heads: Generalized Feature Attribution for Large Models & Data - Gautam Machiraju; Alexander Derry; Arjun D. Desai; Neel Guha; Amir-Hossein Karimi; James Zou; Russ B. Altman; Christopher Ré; Parag Mallick (CoRR, 2024)

Aria Everyday Activities Dataset - Zhaoyang Lv; Nicholas Charron; Pierre Moulon; Alexander Gamino; Cheng Peng; Chris Sweeney; Edward Miller; Huixuan Tang; Jeff Meissner; Jing Dong; Kiran Somasundaram; Luis Pesqueira; et al. (CoRR, 2024)

Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement - Wonseok Jeon; Mukul Gagrani; Raghavv Goel; Junyoung Park; Mingu Lee; Christopher Lott (CoRR, 2024)

A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation - Yuyue Zhou; Banafshe Felfeliyan; Shrimanti Ghosh; Jessica Knight; Fatima Alves-Pereira; Christopher Keen; Jessica Küpper; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (CoRR, 2024)

Homeostatic motion planning with innate physics knowledge - Giulia Lafratta; Bernd Porr; Christopher Chandler; Alice Miller (CoRR, 2024)

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations - Jing Huang; Zhengxuan Wu; Christopher Potts; Mor Geva; Atticus Geiger (CoRR, 2024)

Potentials of Green Coding - Findings and Recommendations for Industry, Education and Science - Extended Paper - Dennis Junger; Max Westing; Christopher P. Freitag; Achim Guldner; Konstantin Mittelbach; Kira Obergöker; Sebastian Weber; Stefan Naumann; Volker Wohlgemuth (CoRR, 2024)

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset - Abbi Ward; Jimmy Li; Julie Wang; Sriram Lakshminarasimhan; Ashley Carrick; Bilson J. L. Campana; Jay Hartford; Pradeep Kumar S; Tiya Tiyasirichokchai; Sunny Virmani; Renee Wong; Yossi Matias; et al. (CoRR, 2024)

Image-To-Mesh Conversion for Biomedical Simulations - Fotis Drakopoulos; Kevin Garner; Christopher Rector; Nikos Chrisochoides (CoRR, 2024)

StarCoder 2 and The Stack v2: The Next Generation - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu; Yuxiang Wei; Tianyang Liu; Max Tian; et al. (CoRR, 2024)

The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition - Dimitrios Kollias; Panagiotis Tzirakis; Alan Cowen; Stefanos Zafeiriou; Irene Kotsia; Alice Baird; Chris Gagne; Chunchang Shao; Guanyu Hu (CoRR, 2024)

PROC2PDDL: Open-Domain Planning Representations from Texts - Tianyi Zhang; Li Zhang; Zhaoyi Hou; Ziyu Wang; Yuling Gu; Peter Clark; Chris Callison-Burch; Niket Tandon (CoRR, 2024)

PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care - Satvik Tripathi; Liam Mutter; Meghana Muppuri; Suhani Dheer; Emiliano Garza-Frias; Komal Awan; Aakash Jha; Michael Dezube; Azadeh Tabari; Christopher P. Bridge; Dania Daye (CoRR, 2024)

Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs - Raghavv Goel; Mukul Gagrani; Wonseok Jeon; Junyoung Park; Mingu Lee; Christopher Lott (CoRR, 2024)

OCEL (Object-Centric Event Log) 2.0 Specification - Alessandro Berti; István Koren; Jan Niklas Adams; Gyunam Park; Benedikt Knopp; Nina Graves; Majid Rafiei; Lukas Liß; Leah Tacke genannt Unterberg; Yisong Zhang; Christopher T. Schwanen; Marco Pegoraro; et al. (CoRR, 2024)

Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure - Darryl Hannan; Steven C. Nesbit; Ximing Wen; Glen Smith; Qiao Zhang; Alberto Goffi; Vincent Chan; Michael J. Morris; John C. Hunninghake; Nicholas E. Villalobos; Edward Kim; Rosina O. Weber; et al. (CoRR, 2024)

PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models - Fiona Anting Tan; Gerard Christopher Yeo; Fanyou Wu; Weijie Xu; Vinija Jain; Aman Chadha; Kokil Jaidka; Yang Liu; See-Kiong Ng (CoRR, 2024)

Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research - Brenda Y. Miao; Irene Y. Chen; Christopher YK Williams; Jaysón M. Davidson; Augusto Garcia-Agundez; Harry Sun; Travis Zack; Atul J. Butte; Madhumita Sushil (CoRR, 2024)

Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving - Napat Karnchanachari; Dimitris Geromichalos; Kok Seang Tan; Nanxiang Li; Christopher Eriksen; Shakiba Yaghoubi; Noushin Mehdipour; Gianmarco Bernasconi; Whye Kit Fong; Yiluan Guo; Holger Caesar (CoRR, 2024)

Accurate Crystal Structure Prediction of New 2D Hybrid Organic Inorganic Perovskites - Nima Karimitari; William J. Baldwin; Evan W. Muller; Zachary J. L. Bare; W. Joshua Kennedy; Gábor Csányi; Christopher Sutton (CoRR, 2024)

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions - Zhengxuan Wu; Atticus Geiger; Aryaman Arora; Jing Huang; Zheng Wang; Noah D. Goodman; Christopher D. Manning; Christopher Potts (CoRR, 2024)

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems - Alison Callahan; Duncan C. McElfresh; Juan M. Banda; Gabrielle Bunney; Danton Char; Jonathan H. Chen; Conor K. Corbin; Debadutta Dash; Norman L. Downing; Sneha S. Jain; Nikesh Kotecha; Jonathan Masterson; et al. (CoRR, 2024)

Gemma: Open Models Based on Gemini Research and Technology - Thomas Mesnard; Cassidy Hardin; Robert Dadashi; Surya Bhupatiraju; Shreya Pathak; Laurent Sifre; Morgane Rivière; Mihir Sanjay Kale; Juliette Love; Pouya Tafti; Léonard Hussenot; Aakanksha Chowdhery; et al. (CoRR, 2024)

Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring - Christopher Irwin; Marco Dossena; Giorgio Leonardi; Stefania Montani (CoRR, 2024)

An Extensible Framework for Architecture-Based Data Flow Analysis for Information Security - Nicolas Boltz; Sebastian Hahner; Christopher Gerking; Robert Heinrich (CoRR, 2024)

Computational Study on the Impact of Gasoline-Ethanol Blending on Autoignition and Soot/NOx Emissions under Gasoline Compression Ignition Conditions - Krishna C. Kalvakala; Harsimran Singh; Pinaki Pal; Jorge P. Gonzalez; Christopher P. Kolodziej; Suresh K. Aggarwal (CoRR, 2024)

DPPE: Dense Pose Estimation in a Plenoxels Environment using Gradient Approximation - Christopher Kolios; Yeganeh Bahoo; Sajad Saeedi G. (CoRR, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models - Stephen R. Pfohl; Heather Cole-Lewis; Rory Sayres; Darlene Neal; Mercy Nyamewaa Asiedu; Awa Dieng; Nenad Tomasev; Qazi Mamunur Rashid; Shekoofeh Azizi; Negar Rostamzadeh; Liam G. McCoy; Leo Anthony Celi; et al. (CoRR, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset - Alexander Khazatsky; Karl Pertsch; Suraj Nair; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data - Alice Baird; Rachel Manzelli; Panagiotis Tzirakis; Chris Gagne; Haoqi Li; Sadie Allen; Sander Dieleman; Brian Kulis; Shrikanth S. Narayanan; Alan Cowen (CoRR, 2024)

AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects - David Leslie; Cami Rincon; Morgan Briggs; Antonella Perini; Smera Jayadeva; Ann Borda; SJ Bennett; Christopher Burr; Mhairi Aitken; Michael A. Katell; Claudia Fischer; Janis Wong; et al. (CoRR, 2024)

AI Fairness in Practice - David Leslie; Cami Rincon; Morgan Briggs; Antonella Perini; Smera Jayadeva; Ann Borda; SJ Bennett; Christopher Burr; Mhairi Aitken; Michael A. Katell; Claudia Fischer; Janis Wong; et al. (CoRR, 2024)

AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow - David Leslie; Cami Rincon; Morgan Briggs; Antonella Perini; Smera Jayadeva; Ann Borda; SJ Bennett; Christopher Burr; Mhairi Aitken; Michael A. Katell; Claudia Fischer; Janis Wong; et al. (CoRR, 2024)

HT-LIP Model based Robust Control of Quadrupedal Robot Locomotion under Unknown Vertical Ground Motion - Amir Iqbal; Sushant Veer; Christopher Niezrecki; Yan Gu (CoRR, 2024)

"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling - Christopher Bagdon; Prathamesh Karmalkar; Harsha Gurulingappa; Roman Klinger (CoRR, 2024)

EgoLifter: Open-world 3D Segmentation for Egocentric Perception - Qiao Gu; Zhaoyang Lv; Duncan Frost; Simon Green; Julian Straub; Chris Sweeney (CoRR, 2024)

Towards a Robust Retrieval-Based Summarization System - Shengjie Liu; Jing Wu; Jingyuan Bao; Wenyi Wang; Naira Hovakimyan; Christopher G. Healey (CoRR, 2024)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning - Luke Rowe; Roger Girgis; Anthony Gosselin; Bruno Carrez; Florian Golemo; Felix Heide; Liam Paull; Christopher Pal (CoRR, 2024)

Classifying Cancer Stage with Open-Source Clinical Large Language Models - Chia-Hsuan Chang; Mary M. Lucas; Grace Lu-Yao; Christopher C. Yang (CoRR, 2024)

Voice EHR: Introducing Multimodal Audio Data for Health - James Anibal; Hannah Huth; Ming Li; Lindsey Hazen; Yen Minh Lam; Nguyen Thi Thu Hang; Michael Kleinman; Shelley Ost; Christopher Jackson; Laura Sprabery; Cheran Elangovan; Balaji Krishnaiah; et al. (CoRR, 2024)

FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning - Joel Niklaus; Lucia Zheng; Arya D. McCarthy; Christopher Hahn; Brian M. Rosen; Peter Henderson; Daniel E. Ho; Garrett Honke; Percy Liang; Christopher D. Manning (CoRR, 2024)

Design of Stickbug: a Six-Armed Precision Pollination Robot - Trevor Smith; Madhav Rijal; Christopher A. Tatsch; R. Michael Butts; Jared J. Beard; R. Tyler Cook; Andy Chu; Jason N. Gross; Yu Gu (CoRR, 2024)

ReFT: Representation Finetuning for Language Models - Zhengxuan Wu; Aryaman Arora; Zheng Wang; Atticus Geiger; Dan Jurafsky; Christopher D. Manning; Christopher Potts (CoRR, 2024)

ROBUST: 221 Bugs in the Robot Operating System - Christopher Steven Timperley; Gijs van der Hoorn; André Santos; Harshavardhan Deshpande; Andrzej Wasowski (CoRR, 2024)

Machine learning augmented diagnostic testing to identify sources of variability in test performance - Christopher J. Banks; Aeron R. Sanchez; Vicki Stewart; Kate Bowen; Graham Smith; Rowland R. Kao (CoRR, 2024)

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues - Makesh Narsimhan Sreedhar; Traian Rebedea; Shaona Ghosh; Christopher Parisien (CoRR, 2024)

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts - Shaona Ghosh; Prasoon Varshney; Erick Galinkin; Christopher Parisien (CoRR, 2024)

Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping - Anas Gouda; Max Schwarz; Christopher Reining; Sven Behnke; Alice Kirchheim (CoRR, 2024)

Dynamic Deep Learning Based Super-Resolution For The Shallow Water Equations - Maximilian Witte; Fabricio Rodrigues Lapolli; Philip Freese; Sebastian Götschel; Daniel Ruprecht; Peter Korn; Christopher Kadow (CoRR, 2024)

Audio Dialogues: Dialogues dataset for audio and music understanding - Arushi Goel; Zhifeng Kong; Rafael Valle; Bryan Catanzaro (CoRR, 2024)

Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis - Marc Aubreville; Jonathan Ganz; Jonas Ammeling; Christopher C. Kaltenecker; Christof A. Bertram (CoRR, 2024)

Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors - Glen Smith; Adit Gupta; Christopher MacLellan (CoRR, 2024)

Differentiable All-pole Filters for Time-varying Audio Systems - Chin-Yun Yu; Christopher Mitcheltree; Alistair Carson; Stefan Bilbao; Joshua D. Reiss; György Fazekas (CoRR, 2024)

WaveMo: Learning Wavefront Modulations to See Through Scattering - Mingyang Xie; Haiyun Guo; Brandon Y. Feng; Lingbo Jin; Ashok Veeraraghavan; Christopher A. Metzler (CoRR, 2024)

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis - Guangchen Lan; Dong-Jun Han; Abolfazl Hashemi; Vaneet Aggarwal; Christopher G. Brinton (CoRR, 2024)

Lossy Image Compression with Foundation Diffusion Models - Lucas Relic; Roberto Azevedo; Markus H. Gross; Christopher Schroers (CoRR, 2024)

On Speculative Decoding for Multimodal Large Language Models - Mukul Gagrani; Raghavv Goel; Wonseok Jeon; Junyoung Park; Mingu Lee; Christopher Lott (CoRR, 2024)

Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels - Satyavrat Wagle; Seyyedali Hosseinalipour; Naji Khosravan; Christopher G. Brinton (CoRR, 2024)

Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR - Zelin Wu; Gan Song; Christopher Li; Pat Rondon; Zhong Meng; Xavier Velez; Weiran Wang; Diamantino Caseiro; Golan Pundak; Tsendsuren Munkhdalai; Angad Chandorkar; Rohit Prabhavalkar (CoRR, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

iTBLS: A Dataset of Interactive Conversations Over Tabular Information - Anirudh Sundar; Christopher Richardson; William Gay; Larry Heck (CoRR, 2024)

Visualizing Intelligent Tutor Interactions for Responsive Pedagogy - Grace Guo; Aishwarya Mudgal Sunil Kumar; Adit Gupta; Adam Coscia; Christopher MacLellan; Alex Endert (CoRR, 2024)

Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging - Chia-Hsuan Chang; Mary M. Lucas; Yeawon Lee; Christopher C. Yang; Grace Lu-Yao (CoRR, 2024)

Competition and Collaboration in Crowdsourcing Communities: What happens when peers evaluate each other? - Christoph Riedl; Tom Grad; Christopher Lettl (CoRR, 2024)

Metric Distortion under Group-Fair Objectives - Georgios Amanatidis; Elliot Anshelevich; Christopher Jerrett; Alexandros A. Voudouris (CoRR, 2024)

Multi-Agent Hybrid SAC for Joint SS-DSA in CRNs - David Nickel; Anindya Bijoy Das; David J. Love; Christopher G. Brinton (CoRR, 2024)

Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction - Sayeri Lala; Hanlin Goh; Christopher M. Sandino (CoRR, 2024)

Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning - Myeung Suk Oh; Anindya Bijoy Das; Taejoon Kim; David J. Love; Christopher G. Brinton (CoRR, 2024)

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology - Tiago Gonçalves; Dagoberto Pulido-Arias; Julian Willett; Katharina Viktoria Hoebel; Mason C. Cleveland; Syed Rakin Ahmed; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer; Jaime S. Cardoso; Christopher P. Bridge; Albert E. Kim (CoRR, 2024)

Fast Machine-Precision Spectral Likelihoods for Stationary Time Series - Christopher J. Geoga (CoRR, 2024)

The Third Monocular Depth Estimation Challenge - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine - Khaled Saab; Tao Tu; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Human Factors in Model-Driven Engineering: Future Research Goals and Initiatives for MDE - Grischa Liebel; Jil Klünder; Regina Hebig; Christopher Lazik; Inês Nunes; Isabella Graßl; Jan-Philipp Steghöfer; Joeri Exelmans; Julian Oertel; Kai Marquardt; Katharina Juhnke; Kurt Schneider; et al. (CoRR, 2024)

Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library - Solène Tarride; Yoann Schneider; Marie Generali-Lince; Mélodie Boillet; Bastien Abadie; Christopher Kermorvant (CoRR, 2024)

Fast Adaptive Fourier Integration for Spectral Densities of Gaussian Processes - Paul G. Beckman; Christopher Geoga (CoRR, 2024)

STT: Stateful Tracking with Transformers for Autonomous Driving - Longlong Jing; Ruichi Yu; Xu Chen; Zhengli Zhao; Shiwei Sheng; Colin Graber; Qi Chen; Qinru Li; Shangxuan Wu; Han Deng; Sangjin Lee; Chris Sweeney; et al. (CoRR, 2024)

Clustering Running Titles to Understand the Printing of Early Modern Books - Nikolai Vogler; Kartik Goyal; Samuel V. Lemley; D. J. Schuldt; Christopher N. Warren; Max G'Sell; Taylor Berg-Kirkpatrick (CoRR, 2024)

Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs - Jiangce Chen; Wenzhuo Xu; Zeda Xu; Noelia Grande Gutiérrez; Sneha Prabha Narra; Christopher McComb (CoRR, 2024)

Semantically Aligned Question and Code Generation for Automated Insight Generation - Ananya Singha; Bhavya Chopra; Anirudh Khatry; Sumit Gulwani; Austin Z. Henley; Vu Le; Chris Parnin; Mukul Singh; Gust Verbruggen (CoRR, 2024)

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions - Kevin Ma; Daniele Grandi; Christopher McComb; Kosa Goucher-Lambert (CoRR, 2024)

Active Signal Emitter Placement In Complex Environments - Christopher E. Denniston; Baskin Senbaslar; Gaurav S. Sukhatme (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini - Lin Yang; Shawn Xu; Andrew Sellergren; Timo Kohlberger; Yuchen Zhou; Ira Ktena; Atilla P. Kiraly; Faruk Ahmed; Farhad Hormozdiari; Tiam Jaroensri; Eric Wang; Ellery Wulczyn; et al. (CoRR, 2024)

Evaluating Large Language Models for Material Selection - Daniele Grandi; Yash Patawari Jain; Allin Groom; Brandon Cramer; Christopher McComb (CoRR, 2024)

False Sense of Security in Explainable Artificial Intelligence (XAI) - Neo Christopher Chung; Hongkyou Chung; Hearim Lee; Hongbeom Chung; Lennart Brocki; George C. Dyer (CoRR, 2024)

A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields - Raiyan Rahman; Christopher Indris; Goetz Bramesfeld; Tianxiao Zhang; Kaidong Li; Xiangyu Chen; Ivan Grijalva; Brian McCornack; Daniel Flippo; Ajay Sharda; Guanghui Wang (CoRR, 2024)

DOLOMITES: Domain-Specific Long-Form Methodical Tasks - Chaitanya Malaviya; Priyanka Agrawal; Kuzman Ganchev; Pranesh Srinivasan; Fantine Huot; Jonathan Berant; Mark Yatskar; Dipanjan Das; Mirella Lapata; Chris Alberti (CoRR, 2024)

Host-Based Allocators for Device Memory - Oren Bell; Ashwin Kumar; Chris Gill (CoRR, 2024)

Quantum computing with Qiskit - Ali Javadi-Abhari; Matthew Treinish; Kevin Krsulich; Christopher J. Wood; Jake Lishman; Julien Gacon; Simon Martiel; Paul D. Nation; Lev S. Bishop; Andrew W. Cross; Blake R. Johnson; Jay M. Gambetta (CoRR, 2024)

Agnostic Active Learning of Single Index Models with Linear Sample Complexity - Aarshvi Gajjar; Wai Ming Tai; Xingyu Xu; Chinmay Hegde; Christopher Musco; Yi Li (CoRR, 2024)

ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection - Jiayi Wang; Yi-An Mao; Xiaoyu Ma; Sicen Guo; Yuting Shao; Xiao Lv; Wenting Han; Mark Christopher; Linda M. Zangwill; Yanlong Bi; Rui Fan (CoRR, 2024)

Improving Label Error Detection and Elimination with Uncertainty Quantification - Johannes Jakubik; Michael Vössing; Manil Maskey; Christopher Wölfle; Gerhard Satzger (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology - George Shaikovski; Adam Casson; Kristen Severson; Eric Zimmermann; Yi Kan Wang; Jeremy D. Kunz; Juan Retamero; Gerard Oakley; David S. Klimstra; Christopher Kanan; Matthew G. Hanna; Michal Zelechowski; et al. (CoRR, 2024)

Game-theoretic Energy Management Strategies With Interacting Agents in Formula 1 - Giona Fieni; Marc-Philippe Neumann; Alessandro Zanardi; Alberto Cerofolini; Christopher Harald Onder (CoRR, 2024)

AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild - Nicholas Dufour; Arkanath Pathak; Pouya Samangouei; Nikki Hariri; Shashi Deshetti; Andrew Dudfield; Christopher Guess; Pablo Hernández Escayola; Bobby Tran; Mevan Babakar; Christoph Bregler (CoRR, 2024)

Carbon Connect: An Ecosystem for Sustainable Computing - Benjamin C. Lee; David Brooks; Arthur van Benthem; Udit Gupta; Gage Hills; Vincent Liu; Benjamin Pierce; Christopher Stewart; Emma Strubell; Gu-Yeon Wei; Adam Wierman; Yuan Yao; et al. (CoRR, 2024)

Remote Keylogging Attacks in Multi-user VR Applications - Zihao Su; Kunlin Cai; Reuben Beeler; Lukas Dresel; Allan Garcia; Ilya Grishchenko; Yuan Tian; Christopher Kruegel; Giovanni Vigna (CoRR, 2024)

Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions - Vinicius L. S. Silva; Geraldine Regnier; Pablo Salinas; Claire E. Heaney; Matthew David Jackson; Christopher C. Pain (CoRR, 2024)

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents - Christopher Rawles; Sarah Clinckemaillie; Yifan Chang; Jonathan Waltz; Gabrielle Lau; Marybeth Fair; Alice Li; William E. Bishop; Wei Li; Folawiyo Campbell-Ajala; Daniel Toyama; Robert Berry; et al. (CoRR, 2024)

HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks - Momin N. Siddiqui; Adit Gupta; Jennifer M. Reddig; Christopher J. MacLellan (CoRR, 2024)

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis - Yue Yang; Mona Gandhi; Yufei Wang; Yifan Wu; Michael S. Yao; Chris Callison-Burch; James C. Gee; Mark Yatskar (CoRR, 2024)

What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? - Md Yousuf Harun; Kyungbok Lee; Jhair Gallardo; Giri Krishnan; Christopher Kanan (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits - Haya Diwan; Jinrui Gou; Cameron Musco; Christopher Musco; Torsten Suel (CoRR, 2024)

Convex neural network synthesis for robustness in the 1-norm - Ross Drummond; Chris Guiver; Matthew C. Turner (CoRR, 2024)

Phantom: General Trigger Attacks on Retrieval Augmented Language Generation - Harsh Chaudhari; Giorgio Severi; John Abascal; Matthew Jagielski; Christopher A. Choquette-Choo; Milad Nasr; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2024)

Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation - Fengdi Che; Chenjun Xiao; Jincheng Mei; Bo Dai; Ramki Gummadi; Oscar A Ramirez; Christopher K. Harris; A. Rupam Mahmood; Dale Schuurmans (CoRR, 2024)

High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings - Christopher Harth-Kitzerow; Georg Carle (IACR Cryptol. ePrint Arch., 2024)

Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics - Dimitris Mouris; Christopher Patton; Hannah Davis; Pratik Sarkar; Nektarios Georgios Tsoutsos (IACR Cryptol. ePrint Arch., 2024)

Classification of Human Motion with Applications in Gesture Recognition and Treatment of Major Depressive Disorder - Jonas Christopher Große Sundrup (University of Heidelberg, Germany, 2023)

Overview of Interface Algorithms, Interface Signals, Communication and Delay in Real-Time Co-Simulation of Distributed Power Systems - Elutunji Buraimoh; Gökhan Özkan; Laxman Timilsina; Phanikumar Chamarthi; Behnaz Papari; Christopher S. Edrington (IEEE Access, 2023)

Characterization of Mega-Constellation Links for LEO Missions With Applications to EO and ISS Use Cases - Gabriel Maiolini Capez; Mauricio A. Cáceres; Roberto Armellin; Christopher P. Bridges; Stefan Frey; Roberto Garello; Pier Bargellini (IEEE Access, 2023)

Near-Field Reception of Dipole Sources Using a Dual-Loaded Loop - Christopher G. Hynes; Rodney G. Vaughan (IEEE Access, 2023)

Power Converters Coolant: Past, Present, Future, and a Path Toward Active Thermal Control in Electrified Ship Power Systems - Ali Moghassemi; S. M. Imrat Rahman; Gökhan Özkan; Christopher S. Edrington; Zheyu Zhang; Phanikumar Chamarthi (IEEE Access, 2023)

Fourier-Optics Based Opto-Electronic Architectures for Simultaneous Multi-Band, Multi-Beam, and Wideband Transmit and Receive Phased Arrays - Dennis W. Prather; Stefano Galli; Garrett J. Schneider; Shouyuan Shi; Janusz A. Murakowski; Xiao-Feng Qi; Christopher A. Schuetz (IEEE Access, 2023)

High-Gain Step-Down DC-DC Converter Employed in a Battery Charging Application - David Reyes-Cruz; Panfilo R. Martinez-Rodriguez; Diego Langarica-Córdoba; Gerardo Vazquez-Guzman; José M. Sosa-Zuniga; Luis A. Hernández Gómez; Christopher J. Rodríguez-Cortés (IEEE Access, 2023)

Novel End-Winding Hybrid Flux Machine - Bowen Shi; Xiaoyan Huang; Jing Li; He Zhang; Han Zhao; Xiaochen Zhang; Fengyu Zhang; Chris Gerada (IEEE Access, 2023)

Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study - Laxman Timilsina; Payam R. Badr; Phuong H. Hoang; Gökhan Özkan; Behnaz Papari; Christopher S. Edrington (IEEE Access, 2023)

A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles - Laxman Timilsina; Phuong H. Hoang; Ali Moghassemi; Elutunji Buraimoh; Phanikumar Chamarthi; Gökhan Özkan; Behnaz Papari; Christopher S. Edrington (IEEE Access, 2023)

Agent-based modelling with geographically weighted calibration for intra-urban activities simulation using taxi GPS trajectories - Shuhui Gong; Xiangrui Dong; Kaiqi Wang; Bingli Lei; Zizhao Jia; Jiaxin Qin; Chris M. Roadknight; Yu Liu; Rui Cao (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Predicting micronutrient deficiency with publicly available satellite data - Elizabeth Bondi-Kelly; Haipeng Chen; Christopher D. Golden; Nikhil Behari; Milind Tambe (AI Mag., 2023)

In Memoriam: Roger C. Schank, 1946-2023 - Richard Granger; David Leake; Christopher K. Riesbeck (AI Mag., 2023)

Diagonal entries of the average mixing matrix - Chris D. Godsil; Krystal Guo; Mariia Sobchuk (Australas. J Comb., 2023)

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror - Tianyi Chen; Youngser Park; Ali Saad-Eldin; Zachary Lubberts; Avanti Athreya; Benjamin D. Pedigo; Joshua T. Vogelstein; Francesca Puppo; Gabriel A. Silva; Alysson R. Muotri; Weiwei Yang; Christopher M. White; et al. (Appl. Netw. Sci., 2023)

Convolution equations with variable time nonlocal coefficients - Christopher S. Goodrich (Appl. Math. Lett., 2023)

Robust model predictive control for constrained linear system based on a sliding mode disturbance observer - Yao Zhang; Christopher Edwards; Michael R. Belmont; Guang Li (Autom., 2023)