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Books and Theses
- 2022
[b1]Jonathan Mitchell:
Adversarial Attacks and Defense using Energy-Based Image Models. University of California, Los Angeles, USA, 2022
Journal Articles
- 2021
- [j2]Jonathan Mitchell
:
Affective representation and affective attitudes. Synth. 198(4): 3519-3546 (2021) - 2020
- [j1]Jonathan Mitchell:
On the non-conceptual content of affective-evaluative experience. Synth. 197(7): 3087-3111 (2020)
Conference and Workshop Papers
- 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 - 2021
- [c1]Mitch Hill, Jonathan Craig Mitchell, Song-Chun Zhu:
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. ICLR 2021
Informal and Other Publications
- 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) - 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) - 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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