Building a Telescope to Look Into High-Dimensional Image Spaces. - Mitch Hill; Erik Nijkamp; Song-Chun Zhu (CoRR, 2018)

Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model. - Tian Han 001; Erik Nijkamp; Xiaolin Fang 002; Mitch Hill; Song-Chun Zhu; Ying Nian Wu (CoRR, 2018)

Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. - Tian Han 001; Erik Nijkamp; Xiaolin Fang 002; Mitch Hill; Song-Chun Zhu; Ying Nian Wu (CVPR, 2019)

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model. - Erik Nijkamp; Mitch Hill; Song-Chun Zhu; Ying Nian Wu (NeurIPS, 2019)

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models. - Erik Nijkamp; Mitch Hill; Tian Han 001; Song-Chun Zhu; Ying Nian Wu (AAAI, 2020)

Learning and Mapping Energy Functions of High-Dimensional Image Data. - Mitch Hill (2020)

Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. - Mitch Hill; Jonathan Craig Mitchell; Song-Chun Zhu (ICLR, 2021)

Self-Joint Supervised Learning. - Navid Kardan; Mubarak Shah; Mitch Hill (ICLR, 2022)

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. - Mitch Hill; Erik Nijkamp; Jonathan Mitchell; Bo Pang 004; Song-Chun Zhu (NeurIPS, 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)

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 001 (CVPR, 2024)

Towards Open Domain Text-Driven Synthesis of Multi-person Motions. - Mengyi Shan; Lu Dong 004; Yutao Han; Yuan Yao 001; Tao Liu; Ifeoma Nwogu; Guo-Jun Qi; Mitch Hill (ECCV (65), 2024)