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Bo Pang
Publications
- 2023
- [c78]Deqian Kong, Bo Pang, Tian Han, Ying Nian Wu:
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting. UAI 2023: 1109-1120 - [i44]Deqian Kong, Bo Pang, Tian Han, Ying Nian Wu:
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting. CoRR abs/2306.14902 (2023) - 2021
- [c63]Bo Pang, Erik Nijkamp, Tian Han, Ying Nian Wu:
Generative Text Modeling through Short Run Inference. EACL 2021: 1156-1165 - [i28]Bo Pang, Erik Nijkamp, Tian Han, Ying Nian Wu:
Generative Text Modeling through Short Run Inference. CoRR abs/2106.02513 (2021) - 2020
- [c48]Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu:
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CVPR 2020: 7975-7984 - [c46]Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference. ECCV (6) 2020: 361-378 - [c40]Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
Learning Latent Space Energy-Based Prior Model. NeurIPS 2020 - [i17]Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu:
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CoRR abs/2006.06059 (2020) - [i15]Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
Learning Latent Space Energy-Based Prior Model. CoRR abs/2006.08205 (2020) - [i12]Bo Pang, Tian Han, Ying Nian Wu:
Learning Latent Space Energy-Based Prior Model for Molecule Generation. CoRR abs/2010.09351 (2020) - [i11]Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu:
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling. CoRR abs/2010.09359 (2020) - 2019
- [i3]Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Deep Generative Models with Short Run Inference Dynamics. CoRR abs/1912.01909 (2019)
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