papers
Publications (12)
cs.LG2026
Probabilistic Contrastive Pretraining for Multi-task ADME Property Prediction
Yifan Xue, Srimukh Prasad Veccham, Saee Paliwal +2
cs.CV2018
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture
Micha Livne, Leonid Sigal, Marcus A. Brubaker +1
cs.LG2025
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
Peter St. John, Dejun Lin, Polina Binder +89
cs.CL2021
SentenceMIM: A Latent Variable Language Model
Micha Livne, Kevin Swersky, David J. Fleet
cs.LG2020
MIM: Mutual Information Machine
Micha Livne, Kevin Swersky, David J. Fleet
cs.CL2024
nach0: Multimodal Natural and Chemical Languages Foundation Model
Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina +8
cs.LG2025
Contrastive MIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning
Micha Livne
stat.ML2019
High Mutual Information in Representation Learning with Symmetric Variational Inference
Micha Livne, Kevin Swersky, David J. Fleet
cs.LG2019
TzK Flow - Conditional Generative Model
Micha Livne, David J. Fleet
cs.LG2019
TzK: Flow-Based Conditional Generative Model
Micha Livne, David Fleet
cs.LG2023
Improving Small Molecule Generation using Mutual Information Machine
Danny Reidenbach, Micha Livne, Rajesh K. Ilango +2
cs.LG2025
Contrastive Mutual Information Learning: Toward Robust Representations without Positive-Pair Augmentations
Micha Livne