Fishman, Nic

5 publications

NeurIPS 2025 Generative Distribution Embeddings: Lifting Autoencoders to the Space of Distributions for Multiscale Representation Learning Nic Fishman, Gokul Gowri, Peng Yin, Jonathan S. Gootenberg, Omar Abudayyeh

NeurIPSW 2024 Estimating Vote Choice in U.S. Elections with Approximate Poisson-Binomial Logistic Regression Nic Fishman, Evan Rosenman

NeurIPS 2024 The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes, Nic Fishman, Mel Andrews, Zachary C. Lipton

TMLR 2023 Diffusion Models for Constrained Domains Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson

NeurIPS 2023 Metropolis Sampling for Constrained Diffusion Models Nic Fishman, Leo Klarner, Emile Mathieu, Michael Hutchinson, Valentin De Bortoli