Song, Jiaming

67 publications

CVPR 2025 Decentralized Diffusion Models David McAllister, Matthew Tancik, Jiaming Song, Angjoo Kanazawa

ICML 2025 Inductive Moment Matching Linqi Zhou, Stefano Ermon, Jiaming Song

CVPR 2025 Personalized Preference Fine-Tuning of Diffusion Models Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song

JMLR 2025 Score-Based Diffusion Models in Function Space Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar

ICLR 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat

TMLR 2024 AGG: Amortized Generative 3D Gaussians for Single Image to 3D Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat

AAAI 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu

ECCV 2024 DiffiT: Diffusion Vision Transformers for Image Generation Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat

ICLR 2024 Seer: Language Instructed Video Prediction with Latent Diffusion Models Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao

CVPR 2023 Affordance Diffusion: Synthesizing Hand-Object Interactions Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu

TMLR 2023 Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Johan Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew Kyle Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cesar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Christopher Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, C. Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germàn Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Xinyue Wang, Gonzalo Jaimovitch-Lopez, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Francis Anthony Shevlin, Hinrich Schuetze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh Dhole, Kevin Gimpel, Kevin Omondi, Kory Wallace Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros-Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje Ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramirez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael Andrew Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Andrew Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter W Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan Le Bras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Russ Salakhutdinov, Ryan Andrew Chi, Seungjae Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel Stern Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima Shammie Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven Piantadosi, Stuart Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsunori Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Venkatesh Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Sophie Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu

ICML 2023 CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon

CVPR 2023 DiffCollage: Parallel Generation of Large Content with Diffusion Models Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu

ICLR 2023 Dual Diffusion Implicit Bridges for Image-to-Image Translation Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon

ICML 2023 Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat

AAAI 2023 Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon

ICCV 2023 PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz

ICLR 2023 Pseudoinverse-Guided Diffusion Models for Inverse Problems Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz

ICML 2022 A General Recipe for Likelihood-Free Bayesian Optimization Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon

CVPR 2022 BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster Jason Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song

ICLR 2022 Comparing Distributions by Measuring Differences That Affect Decision Making Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon

NeurIPS 2022 Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon

NeurIPS 2022 Denoising Diffusion Restoration Models Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song

ICLRW 2022 Denoising Diffusion Restoration Models Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song

L4DC 2022 Experience Replay with Likelihood-Free Importance Weights Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon

AAAI 2022 IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon

NeurIPSW 2022 JPEG Artifact Correction Using Denoising Diffusion Restoration Models Bahjat Kawar, Jiaming Song, Stefano Ermon, Michael Elad

NeurIPS 2022 LISA: Learning Interpretable Skill Abstractions from Language Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon

ICLR 2022 SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon

NeurIPS 2021 CSDI: Conditional Score-Based Diffusion Models for Probabilistic Time Series Imputation Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon

NeurIPS 2021 D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon

ICLR 2021 Denoising Diffusion Implicit Models Jiaming Song, Chenlin Meng, Stefano Ermon

ICLRW 2021 Hybrid Mutual Information Lower-Bound Estimators for Representation Learning Abhishek Sinha, Jiaming Song, Stefano Ermon

NeurIPS 2021 IQ-Learn: Inverse Soft-Q Learning for Imitation Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon

NeurIPS 2021 Imitation with Neural Density Models Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon

ICLR 2021 Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon

ICLR 2021 Negative Data Augmentation Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

NeurIPS 2021 Pseudo-Spherical Contrastive Divergence Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon

NeurIPS 2021 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu

ICLR 2020 A Theory of Usable Information Under Computational Constraints Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon

NeurIPS 2020 Autoregressive Score Matching Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon

NeurIPS 2020 Belief Propagation Neural Networks Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon

ICML 2020 Bridging the Gap Between F-GANs and Wasserstein GANs Jiaming Song, Stefano Ermon

ICML 2020 Domain Adaptive Imitation Learning Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon

AISTATS 2020 Gaussianization Flows Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon

NeurIPS 2020 Multi-Label Contrastive Predictive Coding Jiaming Song, Stefano Ermon

AISTATS 2020 Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon

ECCV 2020 Robust and On-the-Fly Dataset Denoising for Image Classification Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma

ICML 2020 Training Deep Energy-Based Models with F-Divergence Minimization Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon

ICLR 2020 Understanding the Limitations of Variational Mutual Information Estimators Jiaming Song, Stefano Ermon

NeurIPS 2019 Bias Correction of Learned Generative Models Using Likelihood-Free Importance Weighting Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric J Horvitz, Stefano Ermon

ICLRW 2019 Bias Correction of Learned Generative Models via Likelihood-Free Importance Weighting Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon

ICML 2019 Calibrated Model-Based Deep Reinforcement Learning Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon

AAAI 2019 InfoVAE: Balancing Learning and Inference in Variational Autoencoders Shengjia Zhao, Jiaming Song, Stefano Ermon

AISTATS 2019 Learning Controllable Fair Representations Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon

ICML 2019 Multi-Agent Adversarial Inverse Reinforcement Learning Lantao Yu, Jiaming Song, Stefano Ermon

UAI 2018 A Lagrangian Perspective on Latent Variable Generative Models Shengjia Zhao, Jiaming Song, Stefano Ermon

ICML 2018 Accelerating Natural Gradient with Higher-Order Invariance Yang Song, Jiaming Song, Stefano Ermon

IJCAI 2018 Adversarial Constraint Learning for Structured Prediction Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon

NeurIPS 2018 Bias and Generalization in Deep Generative Models: An Empirical Study Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon

NeurIPS 2018 Multi-Agent Generative Adversarial Imitation Learning Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon

NeurIPS 2017 A-NICE-MC: Adversarial Training for MCMC Jiaming Song, Shengjia Zhao, Stefano Ermon

ICLR 2017 Generative Adversarial Learning of Markov Chains Jiaming Song, Shengjia Zhao, Stefano Ermon

NeurIPS 2017 InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations Yunzhu Li, Jiaming Song, Stefano Ermon

ICML 2017 Learning Hierarchical Features from Deep Generative Models Shengjia Zhao, Jiaming Song, Stefano Ermon

AAAI 2016 Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang

ICML 2016 Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song, Zhe Gan, Lawrence Carin