| 2025 | Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport. | Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard |
| 2025 | Online Robust Reinforcement Learning Through Monte-Carlo Planning. | Tuan Dam, Kishan Panaganti, Brahim Driss, Adam Wierman |
| 2025 | Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators. | Srinath Dama, Kevin Course, Prasanth B. Nair |
| 2025 | Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search. | Tuan Dam |
| 2025 | Efficient Noise Calculation in Deep Learning-based MRI Reconstructions. | Onat Dalmaz, Arjun D. Desai, Reinhard Heckel, Tolga ukur, Akshay S. Chaudhari, Brian A. Hargreaves |
| 2025 | Sparse-pivot: Dynamic correlation clustering for node insertions. | Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic |
| 2025 | Policy Gradient with Tree Expansion. | Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik |
| 2025 | MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data. | Yuqin Dai, Zhouheng Yao, Chunfeng Song, Qihao Zheng, Weijian Mai, Kunyu Peng, Shuai Lu, Wanli Ouyang, Jian Yang, Jiamin Wu |
| 2025 | Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle. | Hui Dai, Ryan Teehan, Mengye Ren |
| 2025 | Latent Variable Causal Discovery under Selection Bias. | Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang |
| 2025 | Learning With Multi-Group Guarantees For Clusterable Subpopulations. | Jessica Dai, Nika Haghtalab, Eric Zhao |
| 2025 | From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms. | Jessica Dai, Paula Gradu, Inioluwa Deborah Raji, Benjamin Recht |
| 2025 | SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning. | Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang |
| 2025 | Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability. | Yunshu Dai, Jianwei Fei, Fangjun Huang, Chip Hong Chang |
| 2025 | Adapting to Evolving Adversaries with Regularized Continual Robust Training. | Sihui Dai, Christian Cianfarani, Vikash Sehwag, Prateek Mittal, Arjun Nitin Bhagoji |
| 2025 | Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective. | Hao Dai, Jagmohan Chauhan |
| 2025 | EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification. | Ben Dai |
| 2025 | Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification. | Yuanchao Dai, Ximing Li, Changchun Li |
| 2025 | Generalization of noisy SGD in unbounded non-convex settings. | Leello Tadesse Dadi, Volkan Cevher |
| 2025 | Causal Abstraction Learning based on the Semantic Embedding Principle. | Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo |
| 2025 | Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. | Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia |
| 2025 | On Temperature Scaling and Conformal Prediction of Deep Classifiers. | Lahav Dabah, Tom Tirer |
| 2025 | SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders. | Bartosz Cywinski, Kamil Deja |
| 2025 | Robust Autonomy Emerges from Self-Play. | Marco Francis Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krhenbhl, Vladlen Koltun |
| 2025 | Flow-based Domain Randomization for Learning and Sequencing Robotic Skills. | Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole E. Carey |