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Jonathan Mitchell
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2020 – today
- 2024
- [i5]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:
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. CoRR abs/2411.10548 (2024) - 2022
- [b1]Jonathan Mitchell:
Adversarial Attacks and Defense using Energy-Based Image Models. University of California, Los Angeles, USA, 2022 - [c2]Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu:
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. NeurIPS 2022 - [i4]Mitch Hill, Jonathan Mitchell, Chu Chen, Yuan Du, Mubarak Shah
, Song-Chun Zhu:
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling. CoRR abs/2205.12243 (2022) - [i3]Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu:
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. CoRR abs/2210.16486 (2022) - 2021
- [j2]Jonathan Mitchell
Affective representation and affective attitudes. Synth. 198(4): 3519-3546 (2021) - [c1]Mitch Hill, Jonathan Craig Mitchell, Song-Chun Zhu:
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. ICLR 2021 - 2020
- [j1]Jonathan Mitchell
On the non-conceptual content of affective-evaluative experience. Synth. 197(7): 3087-3111 (2020) - [i2]Mitch Hill, Jonathan Mitchell, Song-Chun Zhu:
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. CoRR abs/2005.13525 (2020)
2010 – 2019
- 2018
- [i1]Jacob Richeimer, Jonathan Mitchell:
Bounding Box Embedding for Single Shot Person Instance Segmentation. CoRR abs/1807.07674 (2018)
Coauthor Index
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