Publications

Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon
arXiv 2023
pdf code

Deep Latent State Space Models for Time-Series Generation
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon
ICML 2023
pdf code

Curious Replay for Model-based Adaptation
Isaac Kauvar*, Chris Doyle*, Linqi Zhou, Nick Haber
ICML 2023
pdf code

ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Chenlin Meng*, Linqi Zhou*, Kristy Choi*, Tri Dao, Stefano Ermon
ICML 2022
pdf code

3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou, Yilun Du, Jiajun Wu
ICCV 2021 (Oral)
pdf website

Deep Unsupervised Clustering with Clustered Generator Model
Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Ying Nian Wu
In Submission
pdf bibtex

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu
ECCV 2020
pdf bibtex

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
Tian Han*, Erik Nijkamp*, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu
CVPR 2020
pdf code bibtex

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
Bo Pang*, Erik Nijkamp*, Wenjuan Han*, Linqi Zhou*, Yixian Liu, Kewei Tu
ACL 2020
pdf code bibtex

Emergence of Theory of Mind Collaboration in Multiagent Systems
Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu
NeurIPS 2019 Workshop
pdf

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge
Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu
arXiv 2019
pdf bibtex