| 2025 | Scaling Laws for Downstream Task Performance in Machine Translation. | Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo |
| 2025 | Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation. | Satoki Ishikawa, Rio Yokota, Ryo Karakida |
| 2025 | PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. | Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa |
| 2025 | Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning. | Haque Ishfaq, Guangyuan Wang, Sami Nur Islam, Doina Precup |
| 2025 | TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data. | Jeremy Andrew Irvin, Emily Ruoyu Liu, Joyce Chuyi Chen, Ines Dormoy, Jinyoung Kim, Samar Khanna, Zhuo Zheng, Stefano Ermon |
| 2025 | Bayesian Experimental Design Via Contrastive Diffusions. | Jacopo Iollo, Christophe Heinkel, Pierre Alliez, Florence Forbes |
| 2025 | Towards a learning theory of representation alignment. | Francesco Insulla, Shuo Huang, Lorenzo Rosasco |
| 2025 | Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions. | Piotr Indyk, Michael Kapralov, Kshiteej Sheth, Tal Wagner |
| 2025 | High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws. | Muhammed Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Marco Mondelli, Samet Oymak |
| 2025 | A3D: Does Diffusion Dream about 3D Alignment? | Savva Victorovich Ignatyev, Nina Konovalova, Daniil Selikhanovych, Oleg Voynov, Nikolay Patakin, Ilya Olkov, Dmitry Senushkin, Alexey Artemov, Anton Konushin, Alexander Filippov, Peter Wonka, Evgeny Burnaev |
| 2025 | Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling. | Yuma Ichikawa, Yamato Arai |
| 2025 | Learning Spatiotemporal Dynamical Systems from Point Process Observations. | Valerii Iakovlev, Harri Lhdesmki |
| 2025 | DEPT: Decoupled Embeddings for Pre-training Language Models. | Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane |
| 2025 | SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation. | Teng Hu, Jiangning Zhang, Ran Yi, Hongrui Huang, Yabiao Wang, Lizhuang Ma |
| 2025 | OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents. | Zhaolin Hu, Yixiao Zhou, Zhongan Wang, Xin Li, Weimin Yang, Hehe Fan, Yi Yang |
| 2025 | miniCTX: Neural Theorem Proving with (Long-)Contexts. | Jiewen Hu, Thomas Zhu, Sean Welleck |
| 2025 | Towards Optimal Multi-draft Speculative Decoding. | Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang |
| 2025 | Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks. | Rui Hu, Yifan Zhang, Zhuoran Li, Longbo Huang |
| 2025 | Reasoning Elicitation in Language Models via Counterfactual Feedback. | Alihan Hyk, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier Gonzlez |
| 2025 | Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization. | Zeou Hu, Yaoliang Yu |
| 2025 | A Statistical Approach for Controlled Training Data Detection. | Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao |
| 2025 | On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality. | Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu |
| 2025 | Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency. | Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu |
| 2025 | Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models. | Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu |
| 2025 | NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance. | Raphael T. Husistein, Markus Reiher, Marco Eckhoff |