NeurIPS 2025
2025 Accepted Papers:
- A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
- Haydn Thomas Jones, Natalie Maus, Josh Magnus Ludan, Maggie Ziyu Huan, Jiaming Liang, Marcelo Der Torossian Torres, Jiatao Liang, Zachary Ives, Yoseph Barash, Cesar de la Fuente-Nunez, Jacob R Gardner, Mark Yatskar
- A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
- Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording, Eva L Dyer, Kostas Daniilidis, Flavia Vitale
- BetaConform: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer
- Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tianlong Chen
- Conformal Information Pursuit for Interactively Guiding Large Language Models
- Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, René Vidal
- Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
- Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
- Lachlan MacDonald, Leandro Palma, Ziqing Xu, Hancheng Min, Salma Tarmoun, Rene Vidal
- CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
- Seewon Choi, Alaia Solko-Breslin, Rajeev Alur, Eric Wong
- Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
- Shivani Agarwal
- ESCA: Contextualizing Embodied Agents via Scene-Graph Generation (Spotlight)
- Jiani Huang, Amish Sethi, Matthew Kuo, Mayank Keoliya, Neelay Velingker, JungHo Jung, Ziyang Li, Ser-Nam Lim, Mayur Naik
- FORLA: Federated Object-centric Representation Learning with Slot Attention
- Guiqiu Liao, Matjaz Jogan, Eric Eaton, Daniel A. Hashimoto
- Foundations of Top-k Decoding for Language Models
- Georgy Noarov, Soham Mallick, Tao Wang, Sunay Joshi, Yan Sun, Yangxinyu Xie, Mengxin Yu, Edgar Dobriban
- Generalizable, real-time neural decoding with hybrid state-space models
- Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao, Mehdi Azabou, Eva L Dyer, Matthew G Perich, Guillaume Lajoie
- Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
- Efthymia Tsamoura, Kaifu Wang, Dan Roth
- Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
- Vinam Arora, Divyansha Lachi, Ian Jarratt Knight, Mehdi Azabou, Blake Aaron Richards, Cole Lincoln Hurwitz, Josh Siegle, Eva L Dyer
- Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts
- Sunay Joshi, Shayan Kiyani, George Pappas, Edgar Dobriban, Hamed Hassani
- Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy (Spotlight)
- Xiang Li, Chendi Wang, Buxin Su, Qi Long, Weijie Su
- Multi-Modal Human Motion Alignment for Cross-Modal Retrieval, Recognition, and Generation
- Kaleab Kinfu, Rene Vidal
- Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
- Hancheng Min, Zhihui Zhu, Rene Vidal
- On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection (Spotlight)
- Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie Su, Qi Long
- On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective
- Behrad Moniri, Hamed Hassani
- Once Upon an Input: Reasoning via Per-Instance Program Synthesis
- Adam Stein, Neelay Velingker, Mayur Naik, Eric Wong
- Optimal neural compressors for the rate-distortion-perception tradeoff (Spotlight)
- Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
- Probabilistic Stability Guarantees for Feature Attributions
- Helen Jin, Anton Xue, Weiqiu You, Surbhi Goel, Eric Wong
- Real-World Reinforcement Learning of Interactive Perception Behaviors
- Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman
- REMI: Reconstructing Episodic Memory During Intrinsic Path Planning
- Zhaoze Wang, Genela Morris, Dori Derdikman, Pratik Chaudhari, Vijay Balasubramanian
- SECA: Semantically Equivalent & Coherent Attacks for Eliciting LLM Hallucinations
- Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, Rene Vidal
- Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization
- Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh, Li Shen, George Michailidis
- Synthetic-Powered Predictive Inference
- Meshi Bashari, Roy Maor Lotan, Yonghoon Lee, Edgar Dobriban, Yaniv Romano
- Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
- Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou, George Pappas, Christos Davatzikos
