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| 2025 | A New Perspective on Shampoo's Preconditioner. | Depen Morwani, Itai Shapira, Nikhil Vyas, Eran Malach, Sham M. Kakade, Lucas Janson |
| 2025 | Imputation for prediction: beware of diminishing returns. | Marine Le Morvan, Gal Varoquaux |
| 2025 | Contextual Document Embeddings. | John Xavier Morris, Alexander M. Rush |
| 2025 | Holistically Evaluating the Environmental Impact of Creating Language Models. | Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge |
| 2025 | Solving Differential Equations with Constrained Learning. | Viggo Moro, Luiz F. O. Chamon |
| 2025 | Optimal Protocols for Continual Learning via Statistical Physics and Control Theory. | Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco |
| 2025 | Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates. | Connor Mooney, Zhongjian Wang, Jack Xin, Yifeng Yu |
| 2025 | Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning. | Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath |
| 2025 | pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. | Shentong Mo, Xufang Luo, Dongsheng Li |
| 2025 | CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference. | Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi |
| 2025 | Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization. | Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan |
| 2025 | Federated Granger Causality Learning For Interdependent Clients With State Space Representation. | Ayush Mohanty, Nazal Mohamed, Paritosh Ramanan, Nagi Gebraeel |
| 2025 | Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. | Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet |
| 2025 | Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models. | Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi |
| 2025 | Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation. | Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan |
| 2025 | Influence Functions for Scalable Data Attribution in Diffusion Models. | Bruno Kacper Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E. Turner |
| 2025 | Artificial Kuramoto Oscillatory Neurons. | Takeru Miyato, Sindy Lwe, Andreas Geiger, Max Welling |
| 2025 | Learning to Search from Demonstration Sequences. | Dixant Mittal, Liwei Kang, Wee Sun Lee |
| 2025 | Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion. | Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Andrew D. Bagdanov |
| 2025 | Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt. | Ryan Missel, Linwei Wang |
| 2025 | Semialgebraic Neural Networks: From roots to representations. | S. David Mis, Matti Lassas, Maarten V. de Hoop |
| 2025 | NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments. | Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut T. Kandemir, Chita R. Das |
| 2025 | Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation. | Hossein Mirzaei, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban |
| 2025 | Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings. | Hossein Mirzaei, Mackenzie W. Mathis |