Mitch Hill

According to our database, Mitch Hill authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

OmniMotionGPT: Animal Motion Generation with Limited Data.

Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang

CoRR, 2023

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

Self-Joint Supervised Learning.

Navid Kardan, Mubarak Shah, Mitch Hill

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Learning and Mapping Energy Functions of High-Dimensional Image Data.

Mitch Hill

PhD thesis, 2020

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models.

Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model.

Erik Nijkamp, Mitch Hill, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model.

Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model.

Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu

CoRR, 2018

Building a Telescope to Look Into High-Dimensional Image Spaces.

Mitch Hill, Erik Nijkamp, Song-Chun Zhu

CoRR, 2018