Jonathan Mitchell

According to our database, Jonathan Mitchell authored at least 9 papers between 2018 and 2025.

Collaborative distances:

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

2025

Strategies to Manage Human Factors in Mixed Reality Pilot Training: A Survey.

Antonio Perez, Avinash Singh, Jonathan Mitchell, Philip Swadling

CoRR, July, 2025

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 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

CoRR, 2024

2022

Adversarial Attacks and Defense using Energy-Based Image Models

Jonathan Mitchell

PhD thesis, 2022

EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling.

Mitch Hill, Jonathan Mitchell, Chu Chen, Yuan Du, Mubarak Shah, Song-Chun Zhu

CoRR, 2022

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM.

Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Affective representation and affective attitudes.

Jonathan Mitchell

Synth., 2021

Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models.

Mitch Hill, Jonathan Craig Mitchell, Song-Chun Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

On the non-conceptual content of affective-evaluative experience.

Jonathan Mitchell

Synth., 2020

2018

Bounding Box Embedding for Single Shot Person Instance Segmentation.

Jacob Richeimer, Jonathan Mitchell

CoRR, 2018