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| 2025 | Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers. | Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall |
| 2025 | Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees. | William de Vazelhes, Xiaotong Yuan, Bin Gu |
| 2025 | Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis. | Christophe Vauthier, Anna Korba, Quentin Mrigot |
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| 2025 | Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization. | Shira Vansover-Hager, Tomer Koren, Roi Livni |
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| 2025 | Dimension-Independent Rates for Structured Neural Density Estimation. | Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam |
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| 2025 | What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models. | Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan |
| 2025 | Clustering via Self-Supervised Diffusion. | Roy Uziel, Irit Chelly, Oren Freifeld, Ari Pakman |
| 2025 | A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization. | Muhammed Ustaomeroglu, Guannan Qu |
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| 2025 | Does Data Scaling Lead to Visual Compositional Generalization? | Arnas Uselis, Andrea Dittadi, Seong Joon Oh |
| 2025 | Online Curvature-Aware Replay: Leveraging 2nd Order Information for Online Continual Learning. | Edoardo Urettini, Antonio Carta |
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| 2025 | Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features. | Daeho Um, Sunoh Kim, Jiwoong Park, Jongin Lim, Seong-Jin Ahn, Seulki Park |
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