ICLR 2026 Accepted Papers - ASSET Center Contributors

 

  1. A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration
    • Authors: Rohit Jena, Vedant Zope, Pratik Chaudhari, James Gee
  2. Action Chunking and Data Augmentation Yield Exponential Improvements for Imitation Learning in Continuous Spaces
    • Authors: Thomas TCK Zhang, Daniel Pfrommer, Chaoyi Pan, Nikolai Matni, Max Simchowitz
  3. Bi-Lipschitz Autoencoder With Injectivity Guarantee
    • Authors: Qipeng Zhan, Zhuoping Zhou, Zexuan Wang, Qi Long, Li Shen
  4. Break the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models
    • Authors: Weiqing He, Xiang Li, Li Shen, Weijie Su, Qi Long
  5. CONCUR: A Framework for Continual Constrained and Unconstrained Routing
    • Authors: Peter Baile Chen, Weiyue Li, Dan Roth, Mike Cafarella, Samuel Madden, Jacob Andreas
  6. Correspondence-Driven Trajectory Warping for Data-Efficient Imitation and Autonomous Play
    • Authors: William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Yecheng Jason Ma, and Dinesh Jayaraman
  7. Demystifying Supervision Data Generalization in Multimodal LMs
    • Authors: Xuan Qi, Luxi He, Dan Roth, Xingyu Fu
  8. Divide and Abstract: Autoformalization via Decomposition and Abstraction Learning
    • Authors: Marcus J. Min, Yeqi Gao, Wilson Sy, Zhaoyu Li, Xujie Si, Osbert Bastani
  9. FACET: A Fragment-Aware Conformer Ensemble Transformer
    • Authors: DMH Nguyen, TQ Nguyen, HTH Le, MTN Truong, T Nguyen, N Ho, KD Doan, D Duong-Tran, L Shen, D Sonntag, J Zou, M Niepert, H Kim, JE Allen
  10. Fair Classification by Direct Intervention on Operating Characteristics
    • Authors: Kevin Jiang, Edgar Dobriban
  11. In Good GRACES: Principled Teacher Selection for Knowledge Distillation
    • Authors: Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Sham Kakade, Surbhi Goel
  12. Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
    • Authors: Michael S Yao, Osbert Bastani, Alma Andersson, Tommaso Biancalani, Aicha BenTaieb, Claudia Iriondo
  13. Learned Meta-Tokens for Language Modeling
    • Authors: Alok Shah, Khush Gupta, Keshav Ramji, Pratik Chaudhari
  14. Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
    • Authors: Peter Baile Chen, Yi Zhang, Dan Roth, Samuel Madden, Jacob Andreas, Mike Cafarella
  15. Missingness Bias Calibration in Feature Attribution Explanations
    • Authors: Shailesh Sridhar, Anton Xue, Eric Wong
  16. QLCoder: A Query Synthesizer For Static Analysis of Security Vulnerabilities
    • Authors: Claire Wang, Ziyang Li, Saikat Dutta, Mayur Naik
  17. Replicable Reinforcement Learning with Linear Function Approximation
    • Authors: Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell
  18. Risk-Sensitive Agent Compositions
    • Authors: Guruprerana Shabadi, Rajeev Alur
  19. Robust Decision Making with Partially Calibrated Forecasts
    • Authors: Shayan Kiyani, Hamed Hassani, George Pappas, Aaron Roth
  20. Scaling Multi-Task Bayesian Optimization with Large Language Models
    • Authors: Yimeng Zeng, Natalie Maus, Haydn Thomas Jones, Jeffrey Tao, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Ryan Marcus, Osbert Bastani, Jacob R. Gardner
  21. Shuffling the Data, Extrapolating the Step: Sharper Bias In Constant Step-Size SGD
    • Authors: Konstantinos Emmanouilidis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Rene Vidal
  22. Singleton-Optimized Conformal Prediction
    • Authors: Tao Wang, Yan Sun, Edgar Dobriban
  23. Sparling: End-to-End Spatial Concept Learning via Extremely Sparse Activations
    • Authors: Kavi Gupta, Osbert Bastani, Armando Solar-Lezama
  24. Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
    • Authors: Ruohao Guo, Afshin Oroojlooy, Roshan Sridhar, Miguel Ballesteros, Alan Ritter, Dan Roth
  25. VLMgineer: Vision-Language Models as Robotic Toolsmiths
    • Authors: George Jiayuan Gao, Tianyu Li, Junyao Shi, Yihan Li, Zizhe Zhang, Nadia Figueroa, and Dinesh Jayaraman
  26. ZeroTuning: Unlocking the Initial Token’s Power to Enhance Large Language Models Without Training
    • Authors: Feijiang Han, Xiaodong Yu, Jianheng Tang, Delip Rao, Weihua Du, Lyle Ungar