| 2025 | Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer. | Blake Bordelon, Cengiz Pehlevan |
| 2025 | Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States. | Serena Booth |
| 2025 | Flowing Datasets with Wasserstein over Wasserstein Gradient Flows. | Clment Bonet, Christophe Vauthier, Anna Korba |
| 2025 | Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale. | Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Keunho Jang, Zheng Hui |
| 2025 | Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization. | Simone Bombari, Marco Mondelli |
| 2025 | Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency. | Georg Bkman, David Nordstrm, Fredrik Kahl |
| 2025 | Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons. | Velibor Bojkovic, Xiaofeng Wu, Bin Gu |
| 2025 | An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures. | Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier |
| 2025 | DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra. | Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley |
| 2025 | Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation. | Yoann Boget |
| 2025 | A Variational Perspective on Generative Protein Fitness Optimization. | Lea Bogensperger, Dominik Narnhofer, Ahmed Allam, Konrad Schindler, Michael Krauthammer |
| 2025 | Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound. | David Boetius, Stefan Leue, Tobias Sutter |
| 2025 | Generative Social Choice: The Next Generation. | Niclas Boehmer, Sara Fish, Ariel D. Procaccia |
| 2025 | Physics-Informed Generative Modeling of Wireless Channels. | Benedikt Bck, Andreas Oeldemann, Timo Mayer, Francesco Rossetto, Wolfgang Utschick |
| 2025 | Probably Approximately Global Robustness Certification. | Peter Blohm, Patrick Indri, Thomas Grtner, Sagar Malhotra |
| 2025 | GaussMark: A Practical Approach for Structural Watermarking of Language Models. | Adam Block, Alexander Rakhlin, Ayush Sekhari |
| 2025 | Position: Stop treating 'AGI' as the north-star goal of AI research. | Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen |
| 2025 | Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification. | Jan Blechschmidt, Tom-Christian Riemer, Max Winkler, Martin Stoll, Jan-Frederik Pietschmann |
| 2025 | False Coverage Proportion Control for Conformal Prediction. | Alexandre Blain, Bertrand Thirion, Pierre Neuvial |
| 2025 | Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation. | Jian Bi, Qianliang Wu, Xiang Li, Shuo Chen, Jianjun Qian, Lei Luo, Jian Yang |
| 2025 | Universal Approximation of Mean-Field Models via Transformers. | Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia |
| 2025 | ENSUR: Equitable and Statistically Unbiased Recommendation. | Nitin Bisht, Xiuwen Gong, Guandong Xu |
| 2025 | Learning Likelihood-Free Reference Priors. | Nicholas Bishop, Daniel Jarne Ornia, Joel Dyer, Ani Calinescu, Michael J. Wooldridge |
| 2025 | The dark side of the forces: assessing non-conservative force models for atomistic machine learning. | Filippo Bigi, Marcel F. Langer, Michele Ceriotti |
| 2025 | DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing. | Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou |