Login / Signup
Mitch Hill
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 14
Top Topics
Short Run
Probabilistic Model
Learning Process
Maximum Likelihood
Top Venues
CoRR
ICLR
NeurIPS
CVPR
</>
Publications
</>
Mengyi Shan
,
Lu Dong
,
Yutao Han
,
Yuan Yao
,
Tao Liu
,
Ifeoma Nwogu
,
Guo-Jun Qi
,
Mitch Hill
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions.
CoRR
(2024)
Zhangsihao Yang
,
Mingyuan Zhou
,
Mengyi Shan
,
Bingbing Wen
,
Ziwei Xuan
,
Mitch Hill
,
Junjie Bai
,
Guo-Jun Qi
,
Yalin Wang
OmniMotionGPT: Animal Motion Generation with Limited Data.
CoRR
(2023)
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
(2022)
Mitch Hill
,
Erik Nijkamp
,
Jonathan Mitchell
,
Bo Pang
,
Song-Chun Zhu
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM.
CoRR
(2022)
Mitch Hill
,
Erik Nijkamp
,
Jonathan Mitchell
,
Bo Pang
,
Song-Chun Zhu
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM.
NeurIPS
(2022)
Navid Kardan
,
Mubarak Shah
,
Mitch Hill
Self-Joint Supervised Learning.
ICLR
(2022)
Mitch Hill
,
Jonathan Craig Mitchell
,
Song-Chun Zhu
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models.
ICLR
(2021)
Mitch Hill
,
Jonathan Mitchell
,
Song-Chun Zhu
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models.
CoRR
(2020)
Erik Nijkamp
,
Mitch Hill
,
Tian Han
,
Song-Chun Zhu
,
Ying Nian Wu
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models.
AAAI
(2020)
Erik Nijkamp
,
Mitch Hill
,
Tian Han
,
Song-Chun Zhu
,
Ying Nian Wu
On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models.
CoRR
(2019)
Erik Nijkamp
,
Mitch Hill
,
Song-Chun Zhu
,
Ying Nian Wu
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model.
NeurIPS
(2019)
Tian Han
,
Erik Nijkamp
,
Xiaolin Fang
,
Mitch Hill
,
Song-Chun Zhu
,
Ying Nian Wu
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model.
CVPR
(2019)
Mitch Hill
,
Erik Nijkamp
,
Song-Chun Zhu
Building a Telescope to Look Into High-Dimensional Image Spaces.
CoRR
(2018)
Tian Han
,
Erik Nijkamp
,
Xiaolin Fang
,
Mitch Hill
,
Song-Chun Zhu
,
Ying Nian Wu
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model.
CoRR
(2018)