| 2025 | The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited. | Floriano Tori, Vincent Holst, Vincent Ginis |
| 2025 | MLPs Learn In-Context on Regression and Classification Tasks. | William Lingxiao Tong, Cengiz Pehlevan |
| 2025 | Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. | Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan M. Tran, David Leo Wright Hall, Cheongwoong Kang, Jaesik Choi |
| 2025 | Learning to Discretize Denoising Diffusion ODEs. | Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert |
| 2025 | How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning. | Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri |
| 2025 | BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge. | Terry Tong, Fei Wang, Zhe Zhao, Muhao Chen |
| 2025 | Coreset Selection via Reducible Loss in Continual Learning. | Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong |
| 2025 | HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents. | Tristan Tomilin, Meng Fang, Mykola Pechenizkiy |
| 2025 | Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces. | Saket Tiwari, Omer Gottesman, George Konidaris |
| 2025 | Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. | Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta |
| 2025 | Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference. | Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel |
| 2025 | Et-Seed: Efficient trajectory-Level SE(3) equivariant diffusion Policy. | Chenrui Tie, Yue Chen, Ruihai Wu, Boxuan Dong, Zeyi Li, Chongkai Gao, Hao Dong |
| 2025 | Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition. | Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang |
| 2025 | Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation. | Yang Tian, Sizhe Yang, Jia Zeng, Ping Wang, Dahua Lin, Hao Dong, Jiangmiao Pang |
| 2025 | Towards counterfactual fairness through auxiliary variables. | Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li |
| 2025 | Algorithmic Stability Based Generalization Bounds for Adversarial Training. | Runzhi Tian, Yongyi Mao |
| 2025 | PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing. | Feng Tian, Yixuan Li, Yichao Yan, Shanyan Guan, Yanhao Ge, Xiaokang Yang |
| 2025 | Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks. | Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang |
| 2025 | Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. | Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang |
| 2025 | Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations. | Thomas Tian, Kratarth Goel |
| 2025 | MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures. | Anvith Thudi, Chris J. Maddison |
| 2025 | Improving Pretraining Data Using Perplexity Correlations. | Tristan Thrush, Christopher Potts, Tatsunori Hashimoto |
| 2025 | MCNC: Manifold-Constrained Reparameterization for Neural Compression. | Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri |
| 2025 | STAR: Synthesis of Tailored Architectures. | Armin W. Thomas, Rom N. Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli |
| 2025 | T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data. | Hugo Thimonier, Jos Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Lin Doan |