Tian Han

@TianHan10

Researcher and Assistant Professor in Stevens Institute of Tech. Works on statistical generative modeling, deep learning and explainable AI PhD, UCLA

Hoboken, NJ

thanacademic.github.io

Joined July 2018

145 Following

106 Followers

Replies Reposts Media

Tian Han
@TianHan10
Jul 22, 2024
Check this out - our new ICML24 paper about adversarial energy-based model. The EBM can be better and more efficiently learned with diffusion!
Cong Geng
@conggeng94
Jul 18, 2024
I'll be attending #ICML2024 to present our paper "Improving Adversarial Energy-Based Model via Diffusion Process" in poster session 4(Wed 24 Jul 1:30 p.m.), if you are also interested in EBM, do stop by and chat with me! preprint: arxiv.org/pdf/2403.01666
Tian Han
@TianHan10
Dec 1, 2022
Excited to share our oral presented work in NeurIPS2022 "Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model": arxiv.org/abs/2209.08739. Latent EBM is learned through multiple stages of density ratios via NCE (no mcmc). #NeurIPS2022 #ebms
1
Tian Han
@TianHan10
Sep 24, 2020
Glad to share our recent ECCV work on learning multi-layer latent variable model via short run MCMC. The model is also deeply rooted in our previous work on Alternating Back-Propagation (ABP) arxiv.org/abs/1606.08571. Both works studied the MLE learning of the generator model.
Erik Nijkamp
@erik_nijkamp
Sep 24, 2020
Grateful to have our work accepted in ECCV 2020 with amazing co-authors @TianHan10, @bo_pang0, et al., "Learning multi-layer latent variable model via variational optimization of short run MCMC for approximate inference": arxiv.org/pdf/1912.01909… #ECCV2020 #mcmc
1
Tian Han
@TianHan10
Jun 17, 2020
Thrilled to share our recent work: Learning Latent Space Energy-Based Prior Model (arxiv.org/pdf/2006.08205…). Joint work with Bo Pang and Erik Nijkamp @erik_nijkamp. We build EBM on the latent space of the generator and learn it through prior and posterior Langevin Dynamics.
1

Tian Han

Tian Han’s posts