Wornell, Gregory W.

19 publications

ICML 2025 A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell

NeurIPS 2025 Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems Minchan Jeong, Jongha Jon Ryu, Se-Young Yun, Gregory W. Wornell

NeurIPS 2025 Revisiting Orbital Minimization Method for Neural Operator Decomposition Jongha Jon Ryu, Samuel Zhou, Gregory W. Wornell

ICML 2025 Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan

ICML 2025 Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions Tejas Jayashankar, Jongha Jon Ryu, Gregory W. Wornell

NeurIPS 2024 Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen, J. Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell

ICML 2024 Gambling-Based Confidence Sequences for Bounded Random Vectors Jongha Jon Ryu, Gregory W. Wornell

AISTATS 2024 Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen, Gregory W Wornell, Yuheng Bu

ICMLW 2024 Lifted Residual Score Estimation Tejas Jayashankar, Jongha Jon Ryu, Xiangxiang Xu, Gregory W. Wornell

ICML 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell

ICML 2024 Thermometer: Towards Universal Calibration for Large Language Models Maohao Shen, Subhro Das, Kristjan Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh

WACV 2023 Can Shadows Reveal Biometric Information? Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell

ICML 2023 On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation Maohao Shen, Yuheng Bu, Gregory W. Wornell

AAAI 2023 Post-Hoc Uncertainty Learning Using a Dirichlet Meta-Model Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell

AISTATS 2022 Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel Rodrigues

ICML 2022 Selective Regression Under Fairness Criteria Abhin Shah, Yuheng Bu, Joshua K Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W Wornell

ICML 2021 Fair Selective Classification via Sufficiency Joshua K Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W Wornell

ICCV 2021 What You Can Learn by Staring at a Blank Wall Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand

ICCV 2017 Turning Corners into Cameras: Principles and Methods Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Fredo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman