Wornell, Gregory

9 publications

NeurIPSW 2023 Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen, Yuheng Bu, Gregory Wornell

NeurIPS 2023 Score-Based Source Separation with Applications to Digital Communication Signals Tejas Jayashankar, Gary C.F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory Wornell

NeurIPSW 2022 On Counterfactual Inference with Unobserved Confounding Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory Wornell

AISTATS 2021 On Learning Continuous Pairwise Markov Random Fields Abhin Shah, Devavrat Shah, Gregory Wornell

NeurIPS 2021 A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah, Devavrat Shah, Gregory Wornell

NeurIPS 2021 An Exact Characterization of the Generalization Error for the Gibbs Algorithm Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel Rodrigues, Gregory Wornell

NeurIPS 2019 Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization Miika Aittala, Prafull Sharma, Lukas Murmann, Adam Yedidia, Gregory Wornell, Bill Freeman, Fredo Durand

NeurIPS 2019 Learning New Tricks from Old Dogs: Multi-Source Transfer Learning from Pre-Trained Networks Joshua Lee, Prasanna Sattigeri, Gregory Wornell

NeurIPS 2018 Co-Regularized Alignment for Unsupervised Domain Adaptation Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, Bill Freeman, Gregory Wornell