Micha Livne

According to our database, Micha Livne authored at least 11 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery.

Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick Hsu, Rajesh Illango, Arvind Ramanathan, Anima Anandkumar, David H. Brookes, Akosua Busia, Abhishaike Mahajan, Stephen Malina, Neha Prasad, Sam Sinai, Lindsay Edwards, Thomas Gaudelet, Cristian Regep, Martin Steinegger, Burkhard Rost, Alexander Brace, Kyle Hippe, Luca Naef, Keisuke Kamata, George Armstrong, Kevin Boyd, Zhonglin Cao, Han-Yi Chou, Simon Chu, Allan dos Santos Costa, Sajad Darabi, Eric Dawson, Kieran Didi, Cong Fu, Mario Geiger, Michelle Gill, Darren Hsu, Gagan Kaushik, Maria Korshunova, Steven Kothen-Hill, Youhan Lee, Meng Liu, Micha Livne, Zachary McClure, Jonathan Mitchell, Alireza Moradzadeh, Ohad Mosafi, Youssef Nashed, Saee Paliwal, Yuxing Peng, Sara Rabhi, Farhad Ramezanghorbani, Danny Reidenbach, Camir Ricketts, Brian Roland, Kushal Shah, Tyler Shimko, Hassan Sirelkhatim, Savitha Srinivasan, Abraham C. Stern, Dorota Toczydlowska, Srimukh Prasad Veccham, Niccolò Alberto Elia Venanzi, Anton Vorontsov, Jared Wilber, Isabel Wilkinson, Wei Jing Wong, Eva Xue, Cory Ye, Xin Yu, Yang Zhang, Guoqing Zhou, Becca Zandstein, Christian Dallago, Bruno Trentini, Emine Küçükbenli, Timur Rvachov, Eddie Calleja, Johnny Israeli, Harry Clifford, Risto Haukioja, Nicholas Haemel, Kyle Tretina, Neha Tadimeti, Anthony B. Costa

CoRR, 2024

2023

nach0: Multimodal Natural and Chemical Languages Foundation Model.

Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina, Maksim Kuznetsov, Daniil Polykovskiy, Annika Brundyn, Aastha Jhunjhunwala, Anthony Costa, Alex Aliper, Alex Zhavoronkov

CoRR, 2023

2022

Improving Small Molecule Generation using Mutual Information Machine.

Danny Reidenbach, Micha Livne, Rajesh K. Ilango, Michelle Gill, Johnny Israeli

CoRR, 2022

2020

Symmetric Variational Inference with High Mutual Information.

Micha Livne

PhD thesis, 2020

SentenceMIM: A Latent Variable Language Model.

Micha Livne, Kevin Swersky, David J. Fleet

CoRR, 2020

2019

High Mutual Information in Representation Learning with Symmetric Variational Inference.

Micha Livne, Kevin Swersky, David J. Fleet

CoRR, 2019

MIM: Mutual Information Machine.

Micha Livne, Kevin Swersky, David J. Fleet

CoRR, 2019

TzK: Flow-Based Conditional Generative Model.

Micha Livne, David J. Fleet

CoRR, 2019

2018

TzK Flow - Conditional Generative Model.

Micha Livne, David J. Fleet

CoRR, 2018

Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture.

Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

2012

Human attributes from 3D pose tracking.

Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet

Comput. Vis. Image Underst., 2012