Jiaming Song

162 papers A* 52A 5C 2Journal 87Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Channel Allocation in Multistatic Passive Radar System for Multiple Maneuvering Targets Tracking With Missed Detection.
IEEE Internet Things J.
Quan Zhou, Ting Cheng, Congchong Cao, Sichen He, Jiaming Song, Zishu He
2026 A* conf
SABER: Switchable and Balanced Training for Efficient LLM Reasoning.
AAAI
Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li
2026 A* conf
Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning.
AAAI
Fu-Yun Wang, Keqiang Sun, Yao Teng, Xihui Liu, Jiale Yuan, Jiaming Song, Hongsheng Li
2025 A* conf
Decentralized Diffusion Models.
CVPR
David McAllister, Matthew Tancik, Jiaming Song, Angjoo Kanazawa
2025 J jnl
Decentralized Diffusion Models.
CoRR
David McAllister, Matthew Tancik, Jiaming Song, Angjoo Kanazawa
2025 J jnl
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms.
CoRR
Jiaming Song, Linqi Zhou
2025 A* conf
Inductive Moment Matching.
ICML
Linqi Zhou, Stefano Ermon, Jiaming Song
2025 J jnl
Inductive Moment Matching.
CoRR
Linqi Zhou, Stefano Ermon, Jiaming Song
2025 A* conf
Personalized Preference Fine-tuning of Diffusion Models.
CVPR
Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song
2025 J jnl
Personalized Preference Fine-tuning of Diffusion Models.
CoRR
Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song
2025 J jnl
SABER: Switchable and Balanced Training for Efficient LLM Reasoning.
CoRR
Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li
2025 J jnl
Score-Based Diffusion Models in Function Space.
J. Mach. Learn. Res.
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
2025 J jnl
Self-NPO: Negative Preference Optimization of Diffusion Models by Simply Learning from Itself without Explicit Preference Annotations.
CoRR
Fu-Yun Wang, Keqiang Sun, Yao Teng, Xihui Liu, Jiaming Song, Hongsheng Li
2025 J jnl
Terminal Velocity Matching.
CoRR
Linqi Zhou, Mathias Parger, Ayaan Haque, Jiaming Song
2024 A* conf
A Variational Perspective on Solving Inverse Problems with Diffusion Models.
ICLR
Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
2024 J jnl
AGG: Amortized Generative 3D Gaussians for Single Image to 3D.
CoRR
Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
2024 J jnl
AGG: Amortized Generative 3D Gaussians for Single Image to 3D.
Trans. Mach. Learn. Res.
Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
2024 A* conf
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning.
AAAI
Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
2024 — conf
DiffiT: Diffusion Vision Transformers for Image Generation.
ECCV (8)
Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
2024 J jnl
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models.
CoRR
Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang
2024 J jnl
LPI-based resource allocation strategy for multiple targets tracking in CMIMO radar system with array division.
Signal Process.
Jiaming Song, Ting Cheng, Yumeng Wang, Luqing Liu, Zishu He
2024 A* conf
Seer: Language Instructed Video Prediction with Latent Diffusion Models.
ICLR
Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
2023 J jnl
A Variational Perspective on Solving Inverse Problems with Diffusion Models.
CoRR
Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
2023 J jnl
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning.
CoRR
Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
2023 A* conf
Affordance Diffusion: Synthesizing Hand-Object Interactions.
CVPR
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
2023 J jnl
Affordance Diffusion: Synthesizing Hand-Object Interactions.
CoRR
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
2023 J jnl
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res.
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 Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. 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 Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej 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, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris 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, 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 J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, 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 H. 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, José Hernández-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 D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. 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, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, 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 A. 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 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 Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, 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 LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, 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 S. 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 T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu 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 V. 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, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
2023 J jnl
CSK-CNN: Network Intrusion Detection Model Based on Two-Layer Convolution Neural Network for Handling Imbalanced Dataset.
Inf.
Jiaming Song, Xiaojuan Wang, Mingshu He, Lei Jin
2023 A* conf
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations.
ICML
Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon
2023 J jnl
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations.
CoRR
Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon
2023 A* conf
DiffCollage: Parallel Generation of Large Content with Diffusion Models.
CVPR
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
2023 J jnl
DiffCollage: Parallel Generation of Large Content with Diffusion Models.
CoRR
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
2023 J jnl
DiffiT: Diffusion Vision Transformers for Image Generation.
CoRR
Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
2023 A* conf
Dual Diffusion Implicit Bridges for Image-to-Image Translation.
ICLR
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
2023 J jnl
HUSCH: an integrated single-cell transcriptome atlas for human tissue gene expression visualization and analyses.
Nucleic Acids Res.
Xiaoying Shi, Zhiguang Yu, Pengfei Ren, Xin Dong, Xuanxin Ding, Jiaming Song, Jing Zhang, Taiwen Li, Chenfei Wang
2023 J jnl
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling.
CoRR
Qinsheng Zhang, Jiaming Song, Yongxin Chen
2023 A* conf
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.
ICML
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
2023 A* conf
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.
AAAI
Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon
2023 J jnl
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.
CoRR
Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon
2023 J jnl
On the Design and Evaluation of an Optimal Security-and-Time Cognizant Data Placement for Dynamic Fog Environments.
IEEE Trans. Parallel Distributed Syst.
Xiaoli Wang, Bharadwaj Veeravalli, Jiaming Song, Honghu Liu
2023 A* conf
PhysDiff: Physics-Guided Human Motion Diffusion Model.
ICCV
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz
2023 A* conf
Pseudoinverse-Guided Diffusion Models for Inverse Problems.
ICLR
Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz
2023 — conf
SIGGRAPH 2023 Course on Diffusion Models.
SIGGRAPH Courses
Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis
2023 — conf
SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models.
MICCAI (3)
Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
2023 J jnl
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models.
CoRR
Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
2023 J jnl
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution.
CoRR
Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon
2023 J jnl
Score-based Diffusion Models in Function Space.
CoRR
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
2023 J jnl
Seer: Language Instructed Video Prediction with Latent Diffusion Models.
CoRR
Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
2023 J jnl
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions.
CoRR
Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao
2022 A* conf
A General Recipe for Likelihood-free Bayesian Optimization.
ICML
Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon
2022 J jnl
A General Recipe for Likelihood-free Bayesian Optimization.
CoRR
Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon
2022 J jnl
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
CoRR
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 Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. 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 Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej 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, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris 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, 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 J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, 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 H. 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, José Hernández-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 D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. 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, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, 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 A. 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 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 Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, 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 LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, 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 S. 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 T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu 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 V. 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, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
2022 A* conf
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster.
CVPR
Jason Jinquan 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
2022 J jnl
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster.
CoRR
Jason Jinquan 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
2022 A* conf
Comparing Distributions by Measuring Differences that Affect Decision Making.
ICLR
Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon
2022 A* conf
Concrete Score Matching: Generalized Score Matching for Discrete Data.
NeurIPS
Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon
2022 J jnl
Concrete Score Matching: Generalized Score Matching for Discrete Data.
CoRR
Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon
2022 A* conf
Denoising Diffusion Restoration Models.
NeurIPS
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
2022 J jnl
Denoising Diffusion Restoration Models.
CoRR
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
2022 J jnl
Dual Diffusion Implicit Bridges for Image-to-Image Translation.
CoRR
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
2022 — conf
Experience Replay with Likelihood-free Importance Weights.
L4DC
Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon
2022 A* conf
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling.
AAAI
Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon
2022 J jnl
JPEG Artifact Correction using Denoising Diffusion Restoration Models.
CoRR
Bahjat Kawar, Jiaming Song, Stefano Ermon, Michael Elad
2022 A* conf
LISA: Learning Interpretable Skill Abstractions from Language.
NeurIPS
Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon
2022 J jnl
LISA: Learning Interpretable Skill Abstractions from Language.
CoRR
Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon
2022 J jnl
PhysDiff: Physics-Guided Human Motion Diffusion Model.
CoRR
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz
2022 A* conf
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.
ICLR
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
2022 J jnl
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
CoRR
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
2021 A* conf
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation.
NeurIPS
Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon
2021 J jnl
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation.
CoRR
Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon
2021 — —
Compression, generation, and inference via supervised learning.
Jiaming Song
2021 A* conf
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation.
NeurIPS
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
2021 J jnl
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation.
CoRR
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
2021 A* conf
Denoising Diffusion Implicit Models.
ICLR
Jiaming Song, Chenlin Meng, Stefano Ermon
2021 A* conf
IQ-Learn: Inverse soft-Q Learning for Imitation.
NeurIPS
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
2021 J jnl
IQ-Learn: Inverse soft-Q Learning for Imitation.
CoRR
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
2021 J jnl
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling.
CoRR
Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon
2021 A* conf
Imitation with Neural Density Models.
NeurIPS
Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon
2021 A* conf
Improved Autoregressive Modeling with Distribution Smoothing.
ICLR
Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon
2021 J jnl
Improved Autoregressive Modeling with Distribution Smoothing.
CoRR
Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon
2021 J jnl
Multi-Installment Scheduling for Large-Scale Workload Computation with Result Retrieval.
Neurocomputing
Xiaoli Wang, Bharadwaj Veeravalli, Jiaming Song
2021 A* conf
Negative Data Augmentation.
ICLR
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
2021 J jnl
Negative Data Augmentation.
CoRR
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
2021 A* conf
Pseudo-Spherical Contrastive Divergence.
NeurIPS
Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
2021 J jnl
Pseudo-Spherical Contrastive Divergence.
CoRR
Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
2021 J jnl
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations.
CoRR
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
2021 A* conf
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems.
NeurIPS
Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu
2021 J jnl
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems.
CoRR
Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu
2020 J jnl
A Theory of Usable Information Under Computational Constraints.
CoRR
Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon
2020 A* conf
A Theory of Usable Information under Computational Constraints.
ICLR
Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon
2020 A* conf
Autoregressive Score Matching.
NeurIPS
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 J jnl
Autoregressive Score Matching.
CoRR
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 A* conf
Belief Propagation Neural Networks.
NeurIPS
Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon
2020 J jnl
Belief Propagation Neural Networks.
CoRR
Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon
2020 A* conf
Bridging the Gap Between f-GANs and Wasserstein GANs.
ICML
Jiaming Song, Stefano Ermon
2020 C conf
DOA Estimation for Arbitrarily Distributed Subarrays in UAV Swarm.
ICCC
Dian Fan, Gan Guo, Jiaming Song, Lanfei Li, Yue Zhu
2020 J jnl
Denoising Diffusion Implicit Models.
CoRR
Jiaming Song, Chenlin Meng, Stefano Ermon
2020 A* conf
Domain Adaptive Imitation Learning.
ICML
Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
2020 J jnl
Experience Replay with Likelihood-free Importance Weights.
CoRR
Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon
2020 A conf
Gaussianization Flows.
AISTATS
Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon
2020 J jnl
Gaussianization Flows.
CoRR
Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon
2020 J jnl
Imitation with Neural Density Models.
CoRR
Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon
2020 A conf
Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables.
AAMAS
Nate Gruver, Jiaming Song, Mykel J. Kochenderfer, Stefano Ermon
2020 A* conf
Multi-label Contrastive Predictive Coding.
NeurIPS
Jiaming Song, Stefano Ermon
2020 J jnl
Multi-label Contrastive Predictive Coding.
CoRR
Jiaming Song, Stefano Ermon
2020 A conf
Permutation Invariant Graph Generation via Score-Based Generative Modeling.
AISTATS
Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon
2020 J jnl
Permutation Invariant Graph Generation via Score-Based Generative Modeling.
CoRR
Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon
2020 J jnl
Privacy Preserving Recalibration under Domain Shift.
CoRR
Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese
2020 — conf
Robust and On-the-Fly Dataset Denoising for Image Classification.
ECCV (29)
Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma
2020 J jnl
Robust and On-the-fly Dataset Denoising for Image Classification.
CoRR
Jiaming Song, Lunjia Hu, Yann N. Dauphin, Michael Auli, Tengyu Ma
2020 A* conf
Training Deep Energy-Based Models with f-Divergence Minimization.
ICML
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 J jnl
Training Deep Energy-Based Models with f-Divergence Minimization.
CoRR
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 A* conf
Understanding the Limitations of Variational Mutual Information Estimators.
ICLR
Jiaming Song, Stefano Ermon
2019 C conf
A New Scheduling Model for Tire Production and Transportation Among Distributed Factories.
CIS
Jiaming Song, Xiaobo Song, Xiaoli Wang
2019 — conf
A Scalable Sparse Matrix-Based Join for SPARQL Query Processing.
DASFAA (3)
Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou
2019 A* conf
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting.
NeurIPS
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
2019 J jnl
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting.
CoRR
Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon
2019 — conf
Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting.
DGS@ICLR
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
2019 J jnl
Bridging the Gap Between $f$-GANs and Wasserstein GANs.
CoRR
Jiaming Song, Stefano Ermon
2019 A* conf
Calibrated Model-Based Deep Reinforcement Learning.
ICML
Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon
2019 J jnl
Calibrated Model-Based Deep Reinforcement Learning.
CoRR
Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon
2019 J jnl
Cross Domain Imitation Learning.
CoRR
Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
2019 A* conf
InfoVAE: Balancing Learning and Inference in Variational Autoencoders.
AAAI
Shengjia Zhao, Jiaming Song, Stefano Ermon
2019 A conf
Learning Controllable Fair Representations.
AISTATS
Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon
2019 A* conf
Multi-Agent Adversarial Inverse Reinforcement Learning.
ICML
Lantao Yu, Jiaming Song, Stefano Ermon
2019 J jnl
Multi-Agent Adversarial Inverse Reinforcement Learning.
CoRR
Lantao Yu, Jiaming Song, Stefano Ermon
2019 J jnl
Understanding the Limitations of Variational Mutual Information Estimators.
CoRR
Jiaming Song, Stefano Ermon
2019 J jnl
Unsupervised Out-of-Distribution Detection with Batch Normalization.
CoRR
Jiaming Song, Yang Song, Stefano Ermon
2018 A conf
A Lagrangian Perspective on Latent Variable Generative Models.
UAI
Shengjia Zhao, Jiaming Song, Stefano Ermon
2018 A* conf
Accelerating Natural Gradient with Higher-Order Invariance.
ICML
Yang Song, Jiaming Song, Stefano Ermon
2018 A* conf
Adversarial Constraint Learning for Structured Prediction.
IJCAI
Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
2018 J jnl
Adversarial Constraint Learning for Structured Prediction.
CoRR
Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
2018 J jnl
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients.
CoRR
Jiaming Song, Yuhuai Wu
2018 A* conf
Bias and Generalization in Deep Generative Models: An Empirical Study.
NeurIPS
Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah D. Goodman, Stefano Ermon
2018 J jnl
Bias and Generalization in Deep Generative Models: An Empirical Study.
CoRR
Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah D. Goodman, Stefano Ermon
2018 — conf
Char-Level Neural Network for Network Anomaly Behavior Detection.
HCC
Sheng Wang, Jiaming Song, Ruixu Guo
2018 J jnl
Learning Controllable Fair Representations.
CoRR
Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon
2018 J jnl
Learning with Weak Supervision from Physics and Data-Driven Constraints.
AI Mag.
Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
2018 J jnl
Malicious behaviour classification in web logs based on an improved Xgboost algorithm.
Int. J. Web Eng. Technol.
Jiaming Song, Xiaojuan Wang, Lei Jin, Jingwen You
2018 — conf
MapSQ: A Plugin-based MapReduce Framework for SPARQL Queries on GPU.
WWW (Companion Volume)
Jiaming Song, Xiaowang Zhang, Peng Peng, Zhiyong Feng, Lei Zou
2018 — conf
Multi-Agent Generative Adversarial Imitation Learning.
ICLR (Workshop)
Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon
2018 A* conf
Multi-Agent Generative Adversarial Imitation Learning.
NeurIPS
Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon
2018 J jnl
Multi-Agent Generative Adversarial Imitation Learning.
CoRR
Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon
2018 J jnl
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models.
CoRR
Shengjia Zhao, Jiaming Song, Stefano Ermon
2018 J jnl
gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing.
CoRR
Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou
2017 — conf
A-NICE-MC: Adversarial Training for MCMC.
NIPS
Jiaming Song, Shengjia Zhao, Stefano Ermon
2017 J jnl
A-NICE-MC: Adversarial Training for MCMC.
CoRR
Jiaming Song, Shengjia Zhao, Stefano Ermon
2017 — conf
Generative Adversarial Learning of Markov Chains.
ICLR (Workshop)
Jiaming Song, Shengjia Zhao, Stefano Ermon
2017 J jnl
Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs.
CoRR
Yunzhu Li, Jiaming Song, Stefano Ermon
2017 — conf
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations.
NIPS
Yunzhu Li, Jiaming Song, Stefano Ermon
2017 J jnl
InfoVAE: Information Maximizing Variational Autoencoders.
CoRR
Shengjia Zhao, Jiaming Song, Stefano Ermon
2017 A* conf
Learning Hierarchical Features from Deep Generative Models.
ICML
Shengjia Zhao, Jiaming Song, Stefano Ermon
2017 J jnl
Learning Hierarchical Features from Generative Models.
CoRR
Shengjia Zhao, Jiaming Song, Stefano Ermon
2017 J jnl
On the Limits of Learning Representations with Label-Based Supervision.
CoRR
Jiaming Song, Russell Stewart, Shengjia Zhao, Stefano Ermon
2017 — conf
SPARQL Query Parallel Processing: A Survey.
BigData Congress
Jiaying Feng, Chenhong Meng, Jiaming Song, Xiaowang Zhang, Zhiyong Feng, Lei Zou
2017 J jnl
Towards Deeper Understanding of Variational Autoencoding Models.
CoRR
Shengjia Zhao, Jiaming Song, Stefano Ermon
2016 A* conf
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
AAAI
Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
2016 A* conf
Factored Temporal Sigmoid Belief Networks for Sequence Learning.
ICML
Jiaming Song, Zhe Gan, Lawrence Carin
2016 J jnl
Factored Temporal Sigmoid Belief Networks for Sequence Learning.
CoRR
Jiaming Song, Zhe Gan, Lawrence Carin
2016 J jnl
Max-Margin Nonparametric Latent Feature Models for Link Prediction.
CoRR
Jun Zhu, Jiaming Song, Bei Chen
2016 — conf
Online-offline consistency exploration based on the alternating direction method of multipliers.
ICCSE
Tianqi Lv, Jiaming Song, Xiaojuan Wang, Nianhao Liu, Mo Chen
2015 J jnl
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
CoRR
Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang