Gu, Jiatao

44 publications

ICLR 2025 Denoising Autoregressive Transformers for Scalable Text-to-Image Generation Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua M. Susskind, Shuangfei Zhai

NeurIPS 2025 Flexible Language Modeling in Continuous Space with Transformer-Based Autoregressive Flows Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly

TMLR 2025 Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai

ICML 2025 Normalizing Flows Are Capable Generative Models Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind

NeurIPS 2025 PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation Chen Wang, Chuhao Chen, Yiming Huang, Zhiyang Dou, Yuan Liu, Jiatao Gu, Lingjie Liu

NeurIPS 2025 STARFlow: Scaling Latent Normalizing Flows for High-Resolution Image Synthesis Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Ángel Bautista, Joshua M. Susskind, Shuangfei Zhai

NeurIPS 2025 TADA: Improved Diffusion Sampling with Training-Free Augmented DynAmics Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Joshua M. Susskind, Shuangfei Zhai

CVPR 2025 Vid2Sim: Generalizable, Video-Based Reconstruction of Appearance, Geometry and Physics for Mesh-Free Simulation Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu

CVPR 2025 World-Consistent Video Diffusion with Explicit 3D Modeling Qihang Zhang, Shuangfei Zhai, Miguel Ángel Bautista Martin, Kevin Miao, Alexander Toshev, Joshua Susskind, Jiatao Gu

TMLR 2025 Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation Xuyi Meng, Chen Wang, Jiahui Lei, Kostas Daniilidis, Jiatao Gu, Lingjie Liu

ICML 2024 Data-Free Distillation of Diffusion Models with Bootstrapping Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind

CVPR 2024 Diffusion Models Without Attention Jing Nathan Yan, Jiatao Gu, Alexander M. Rush

ICLR 2024 Generative Modeling with Phase Stochastic Bridge Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos Theodorou, Joshua M. Susskind, Shuangfei Zhai

ICLRW 2024 How Far Are We from Intelligent Visual Deductive Reasoning? Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly

ICMLW 2024 Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai

ICMLW 2024 Improving GFlowNets for Text-to-Image Diffusion Alignment Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai

NeurIPS 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Josh Susskind

ICMLW 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind

ICMLW 2024 Many-to-Many Image Generation with Auto-Regressive Diffusion Models Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu

ICLR 2024 Matryoshka Diffusion Models Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly

ICMLW 2023 BOOT: Data-Free Distillation of Denoising Diffusion Models with Bootstrapping Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind

ICLR 2023 Diffusion Probabilistic Fields Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista

ICLR 2023 F-DM: A Multi-Stage Diffusion Model via Progressive Signal Transformation Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind

ICLR 2023 MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind

ICML 2023 NerfDiff: Single-Image View Synthesis with NeRF-Guided Distillation from 3D-Aware Diffusion Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi

NeurIPS 2023 PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua Susskind, Navdeep Jaitly

ICCV 2023 Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su

ICML 2023 Stabilizing Transformer Training by Preventing Attention Entropy Collapse Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind

ICML 2022 Data2vec: A General Framework for Self-Supervised Learning in Speech, Vision and Language Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu, Michael Auli

ICLR 2022 StyleNeRF: A Style-Based 3D Aware Generator for High-Resolution Image Synthesis Jiatao Gu, Lingjie Liu, Peng Wang, Christian Theobalt

NeurIPS 2021 Volume Rendering of Neural Implicit Surfaces Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman

NeurIPS 2020 Cross-Lingual Retrieval for Iterative Self-Supervised Training Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu

ICLR 2020 Depth-Adaptive Transformer Maha Elbayad, Jiatao Gu, Edouard Grave, Michael Auli

ICLR 2020 Monotonic Multihead Attention Xutai Ma, Juan Pino, James Cross, Liezl Puzon, Jiatao Gu

AAAI 2020 Neural Machine Translation with Byte-Level Subwords Changhan Wang, Kyunghyun Cho, Jiatao Gu

NeurIPS 2020 Neural Sparse Voxel Fields Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt

ICML 2020 Non-Autoregressive Machine Translation with Disentangled Context Transformer Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu

ECCV 2020 PointContrast: Unsupervised Pre-Training for 3D Point Cloud Understanding Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany

ICLR 2020 Revisiting Self-Training for Neural Sequence Generation Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato

ICLR 2020 Understanding Knowledge Distillation in Non-Autoregressive Machine Translation Chunting Zhou, Graham Neubig, Jiatao Gu

NeurIPS 2019 Levenshtein Transformer Jiatao Gu, Changhan Wang, Junbo Zhao

AAAI 2018 Neural Machine Translation with Gumbel-Greedy Decoding Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li

ICLR 2018 Non-Autoregressive Neural Machine Translation Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Li, Richard Socher

AAAI 2018 Search Engine Guided Neural Machine Translation Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O. K. Li