Publications

2024

  1. Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers
    Doron Haviv, Russell Zhang Kunes, Thomas Dougherty, and 4 more authors
    In International conference on machine learning , 2024
  2. The covariance environment defines cellular niches for spatial inference
    Doron Haviv, Ján Remšı́k, Mohamed Gatie, and 8 more authors
    Nature Biotechnology, 2024

2023

  1. Gradient estimation for binary latent variables via gradient variance clipping
    Russell Z Kunes, Mingzhang Yin, Max Land, and 3 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2023
  2. scKINETICS: inference of regulatory velocity with single-cell transcriptomics data
    Cassandra Burdziak, Chujun Julia Zhao, Doron Haviv, and 3 more authors
    Bioinformatics, 2023

2022

  1. SPOT: Spatial Optimal Transport for Analyzing Cellular Microenvironments
    Shouvik Mani, Doron Haviv, Russell Kunes, and 1 more author
    In NeurIPS 2022 Workshop on Learning Meaningful Representations of Life , 2022

2021

  1. Generating conjectures on fundamental constants with the Ramanujan Machine
    Gal Raayoni, Shahar Gottlieb, Yahel Manor, and 6 more authors
    Nature, 2021

2019

  1. Understanding and controlling memory in recurrent neural networks
    Doron Haviv, Alexander Rivkind, and Omri Barak
    In International conference on machine learning , 2019
  2. Direct validation of the information bottleneck principle for deep nets
    Adar Elad, Doron Haviv, Yochai Blau, and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops , 2019