Kagan, Michael

5 publications

NeurIPSW 2024 Is Tokenization Needed for Masked Particle Modelling? Matthew Leigh, Samuel Klein, Francois Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Margarita Osadchy

AISTATS 2021 Neural Empirical Bayes: Source Distribution Estimation and Its Applications to Simulation-Based Inference Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe

ICCVW 2021 CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D mAP Reconstruction from Cryo-Electron Microscopy Data Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner

NeurIPS 2020 Black-Box Optimization with Local Generative Surrogates Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrei Ustyuzhanin, Atilim Gunes Baydin

NeurIPS 2017 Learning to Pivot with Adversarial Networks Gilles Louppe, Michael Kagan, Kyle Cranmer