Haviv, Doron

6 publications

ICML 2025 Wasserstein Flow Matching: Generative Modeling over Families of Distributions Doron Haviv, Aram-Alexandre Pooladian, Dana Pe’Er, Brandon Amos

ICML 2024 Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer Doron Haviv, Russell Zhang Kunes, Thomas Dougherty, Cassandra Burdziak, Tal Nawy, Anna Gilbert, Dana Pe’Er

AAAI 2023 Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré

NeurIPSW 2022 SPOT: Spatial Optimal Transport for Analyzing Cellular Microenvironments Shouvik Mani, Doron Haviv, Russell Kunes, Dana Pe'er

ICCVW 2019 Direct Validation of the Information Bottleneck Principle for Deep Nets Adar Elad, Doron Haviv, Yochai Blau, Tomer Michaeli

ICML 2019 Understanding and Controlling Memory in Recurrent Neural Networks Doron Haviv, Alexander Rivkind, Omri Barak