2024
Towards Open Domain Text-Driven Synthesis of Multi-person Motions.
Proceedings of the Computer Vision - ECCV 2024, 2024

OmniMotionGPT: Animal Motion Generation with Limited Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling.
CoRR, 2022

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Joint Supervised Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Learning and Mapping Energy Functions of High-Dimensional Image Data.
PhD thesis, 2020

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model.
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.
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.
CoRR, 2018

Building a Telescope to Look Into High-Dimensional Image Spaces.
CoRR, 2018