Tongzhou Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Image Generation

Physical Objects

Reinforcement Learning

Top Venues

Publications

Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
The Platonic Representation Hypothesis. CoRR (2024)
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. ICML (2023)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Generalizing Dataset Distillation via Deep Generative Prior. CoRR (2023)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Generalizing Dataset Distillation via Deep Generative Prior. CVPR (2023)
Sangnie Bhardwaj, Willie McClinton, Tongzhou Wang, Guillaume Lajoie, Chen Sun, Phillip Isola, Dilip Krishnan
Steerable Equivariant Representation Learning. CoRR (2023)
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. CoRR (2023)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CoRR (2022)
Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
Procedural Image Programs for Representation Learning. NeurIPS (2022)
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
Denoised MDPs: Learning World Models Better Than the World Itself. CoRR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. CVPR Workshops (2022)
Tongzhou Wang, Phillip Isola
On the Learning and Learnablity of Quasimetrics. CoRR (2022)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. CoRR (2022)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. ECCV (14) (2022)
Tongzhou Wang, Phillip Isola
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings. CoRR (2022)
Tongzhou Wang, Phillip Isola
On the Learning and Learnability of Quasimetrics. ICLR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CVPR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CVPR Workshops (2022)
Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
Procedural Image Programs for Representation Learning. CoRR (2022)
Tongzhou Wang, Simon Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
Denoised MDPs: Learning World Models Better Than the World Itself. ICML (2022)
Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba
Learning to See by Looking at Noise. CoRR (2021)
Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba
Learning to See by Looking at Noise. NeurIPS (2021)
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
Diverse Image Generation via Self-Conditioned GANs. CVPR (2020)
Tongzhou Wang, Phillip Isola
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. ICML (2020)
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
Diverse Image Generation via Self-Conditioned GANs. CoRR (2020)
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
Rewriting a Deep Generative Model. ECCV (1) (2020)
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
Rewriting a Deep Generative Model. CoRR (2020)
Tongzhou Wang, Phillip Isola
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. CoRR (2020)
Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell
Meta-Learning MCMC Proposals. NeurIPS (2018)
Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros
Dataset Distillation. CoRR (2018)
Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng
Learning to Synthesize a 4D RGBD Light Field from a Single Image. ICCV (2017)
Tongzhou Wang, Yi Wu, David A. Moore, Stuart J. Russell
Neural Block Sampling. CoRR (2017)
Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng
Learning to Synthesize a 4D RGBD Light Field from a Single Image. CoRR (2017)