Micha Livne - RankMe

15 papers Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Contrastive Mutual Information Learning: Toward Robust Representations without Positive-Pair Augmentations. CoRR Micha Livne
2025	J	`jnl`	cMIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning. CoRR Micha Livne
2024	J	`jnl`	BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. CoRR Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick D. 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
2023	J	`jnl`	nach0: Multimodal Natural and Chemical Languages Foundation Model. CoRR Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina, Maksim Kuznetsov, Daniil Polykovskiy, Annika Brundyn, Aastha Jhunjhunwala, Anthony Costa, Alex Aliper, Alex Zhavoronkov
2022	J	`jnl`	Improving Small Molecule Generation using Mutual Information Machine. CoRR Danny Reidenbach, Micha Livne, Rajesh K. Ilango, Michelle Gill, Johnny Israeli
2020	J	`jnl`	SentenceMIM: A Latent Variable Language Model. CoRR Micha Livne, Kevin Swersky, David J. Fleet
2020	—	`—`	Symmetric Variational Inference with High Mutual Information. Micha Livne
2019	J	`jnl`	High Mutual Information in Representation Learning with Symmetric Variational Inference. CoRR Micha Livne, Kevin Swersky, David J. Fleet
2019	J	`jnl`	MIM: Mutual Information Machine. CoRR Micha Livne, Kevin Swersky, David J. Fleet
2019	J	`jnl`	TzK: Flow-Based Conditional Generative Model. CoRR Micha Livne, David J. Fleet
2018	J	`jnl`	TzK Flow - Conditional Generative Model. CoRR Micha Livne, David J. Fleet
2018	—	`conf`	Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. CRV Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2018	J	`jnl`	Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. CoRR Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2012	J	`jnl`	Human attributes from 3D pose tracking. Comput. Vis. Image Underst. Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet
2010	—	`conf`	Human Attributes from 3D Pose Tracking. ECCV (3) Leonid Sigal, David J. Fleet, Nikolaus F. Troje, Micha Livne