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2020 – today
- 2024
[j8]Jiaming Song
, Ting Cheng, Yumeng Wang, Luqing Liu, Zishu He:
LPI-based resource allocation strategy for multiple targets tracking in CMIMO radar system with array division. Signal Process. 225: 109625 (2024)- [c69]Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu:
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. AAAI 2024: 11320-11328 - [c68]Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat:
DiffiT: Diffusion Vision Transformers for Image Generation. ECCV (8) 2024: 37-55 - [c67]Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao:
Seer: Language Instructed Video Prediction with Latent Diffusion Models. ICLR 2024 - [c66]Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat:
A Variational Perspective on Solving Inverse Problems with Diffusion Models. ICLR 2024 - [i68]Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat:
AGG: Amortized Generative 3D Gaussians for Single Image to 3D. CoRR abs/2401.04099 (2024) - 2023
- [j7]Jiaming Song, Xiaojuan Wang, Mingshu He, Lei Jin:
CSK-CNN: Network Intrusion Detection Model Based on Two-Layer Convolution Neural Network for Handling Imbalanced Dataset. Inf. 14(2): 130 (2023) - [j6]Xiaoying Shi, Zhiguang Yu, Pengfei Ren, Xin Dong, Xuanxin Ding, Jiaming Song, Jing Zhang, Taiwen Li, Chenfei Wang:
HUSCH: an integrated single-cell transcriptome atlas for human tissue gene expression visualization and analyses. Nucleic Acids Res. 51(D1): 1029-1037 (2023) - [j5]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 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:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [j4]Xiaoli Wang, Bharadwaj Veeravalli, Jiaming Song, Honghu Liu:
On the Design and Evaluation of an Optimal Security-and-Time Cognizant Data Placement for Dynamic Fog Environments. IEEE Trans. Parallel Distributed Syst. 34(2): 489-500 (2023) - [c65]Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon:
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. AAAI 2023: 11016-11024 - [c64]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR 2023: 10188-10198 - [c63]Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu:
Affordance Diffusion: Synthesizing Hand-Object Interactions. CVPR 2023: 22479-22489 - [c62]Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz:
PhysDiff: Physics-Guided Human Motion Diffusion Model. ICCV 2023: 15964-15975 - [c61]Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz:
Pseudoinverse-Guided Diffusion Models for Inverse Problems. ICLR 2023 - [c60]Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon:
Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023 - [c59]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. ICML 2023: 23498-23515 - [c58]Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat:
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML 2023: 32483-32498 - [c57]Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz:
SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. MICCAI (3) 2023: 199-209 - [c56]Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis:
SIGGRAPH 2023 Course on Diffusion Models. SIGGRAPH Courses 2023: 7:1-7:113 - [i67]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:
Score-based Diffusion Models in Function Space. CoRR abs/2302.07400 (2023) - [i66]Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon:
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. CoRR abs/2303.02569 (2023) - [i65]Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu:
Affordance Diffusion: Synthesizing Hand-Object Interactions. CoRR abs/2303.12538 (2023) - [i64]Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao:
Seer: Language Instructed Video Prediction with Latent Diffusion Models. CoRR abs/2303.14897 (2023) - [i63]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR abs/2303.17076 (2023) - [i62]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. CoRR abs/2305.01118 (2023) - [i61]Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat:
A Variational Perspective on Solving Inverse Problems with Diffusion Models. CoRR abs/2305.04391 (2023) - [i60]Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. CoRR abs/2306.17624 (2023) - [i59]Qinsheng Zhang, Jiaming Song, Yongxin Chen:
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. CoRR abs/2308.02157 (2023) - [i58]Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon:
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. CoRR abs/2310.00413 (2023) - [i57]Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz:
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models. CoRR abs/2310.01799 (2023) - [i56]Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu:
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. CoRR abs/2310.04796 (2023) - [i55]Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat:
DiffiT: Diffusion Vision Transformers for Image Generation. CoRR abs/2312.02139 (2023) - 2022
- [c55]Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon:
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. AAAI 2022: 12034-12042 - [c54]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:
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster. CVPR 2022: 21407-21414 - [c53]Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon:
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations. ICLR 2022 - [c52]Shengjia Zhao, Abhishek Sinha, Yutong He, Aidan Perreault, Jiaming Song, Stefano Ermon:
Comparing Distributions by Measuring Differences that Affect Decision Making. ICLR 2022 - [c51]Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon:
A General Recipe for Likelihood-free Bayesian Optimization. ICML 2022: 20384-20404 - [c50]Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon:
Experience Replay with Likelihood-free Importance Weights. L4DC 2022: 110-123 - [c49]Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon:
LISA: Learning Interpretable Skill Abstractions from Language. NeurIPS 2022 - [c48]Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song:
Denoising Diffusion Restoration Models. NeurIPS 2022 - [c47]Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon:
Concrete Score Matching: Generalized Score Matching for Discrete Data. NeurIPS 2022 - [i54]Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song:
Denoising Diffusion Restoration Models. CoRR abs/2201.11793 (2022) - [i53]Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon:
LISA: Learning Interpretable Skill Abstractions from Language. CoRR abs/2203.00054 (2022) - [i52]Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon:
Dual Diffusion Implicit Bridges for Image-to-Image Translation. CoRR abs/2203.08382 (2022) - [i51]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:
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster. CoRR abs/2204.01715 (2022) - [i50]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 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:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i49]Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon:
A General Recipe for Likelihood-free Bayesian Optimization. CoRR abs/2206.13035 (2022) - [i48]Bahjat Kawar, Jiaming Song, Stefano Ermon, Michael Elad:
JPEG Artifact Correction using Denoising Diffusion Restoration Models. CoRR abs/2209.11888 (2022) - [i47]Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon:
Concrete Score Matching: Generalized Score Matching for Discrete Data. CoRR abs/2211.00802 (2022) - [i46]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:
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR abs/2211.01324 (2022) - [i45]Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz:
PhysDiff: Physics-Guided Human Motion Diffusion Model. CoRR abs/2212.02500 (2022) - 2021
- [b1]Jiaming Song:
Compression, generation, and inference via supervised learning. Stanford University, USA, 2021 - [j3]Xiaoli Wang, Bharadwaj Veeravalli, Jiaming Song:
Multi-Installment Scheduling for Large-Scale Workload Computation with Result Retrieval. Neurocomputing 458: 579-591 (2021) - [c46]Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon:
Improved Autoregressive Modeling with Distribution Smoothing. ICLR 2021 - [c45]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. ICLR 2021 - [c44]Jiaming Song, Chenlin Meng, Stefano Ermon:
Denoising Diffusion Implicit Models. ICLR 2021 - [c43]Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon:
IQ-Learn: Inverse soft-Q Learning for Imitation. NeurIPS 2021: 4028-4039 - [c42]Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon:
Imitation with Neural Density Models. NeurIPS 2021: 5360-5372 - [c41]Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu:
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems. NeurIPS 2021: 9681-9693 - [c40]Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon:
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation. NeurIPS 2021: 12533-12548 - [c39]Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon:
Pseudo-Spherical Contrastive Divergence. NeurIPS 2021: 22348-22362 - [c38]Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon:
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation. NeurIPS 2021: 24804-24816 - [i44]Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. CoRR abs/2102.05113 (2021) - [i43]Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon:
Improved Autoregressive Modeling with Distribution Smoothing. CoRR abs/2103.15089 (2021) - [i42]Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon:
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation. CoRR abs/2106.06819 (2021) - [i41]Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon:
IQ-Learn: Inverse soft-Q Learning for Imitation. CoRR abs/2106.12142 (2021) - [i40]Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon:
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation. CoRR abs/2107.03502 (2021) - [i39]Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon:
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations. CoRR abs/2108.01073 (2021) - [i38]Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon:
Pseudo-Spherical Contrastive Divergence. CoRR abs/2111.00780 (2021) - [i37]Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu:
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems. CoRR abs/2111.04613 (2021) - [i36]Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon:
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling. CoRR abs/2112.09126 (2021) - 2020
- [c37]Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon:
Gaussianization Flows. AISTATS 2020: 4336-4345 - [c36]Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon:
Permutation Invariant Graph Generation via Score-Based Generative Modeling. AISTATS 2020: 4474-4484 - [c35]Nate Gruver, Jiaming Song, Mykel J. Kochenderfer, Stefano Ermon:
Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables. AAMAS 2020: 1855-1857 - [c34]Jiaming Song, Yann N. Dauphin, Michael Auli, Tengyu Ma:
Robust and On-the-Fly Dataset Denoising for Image Classification. ECCV (29) 2020: 556-572 - [c33]Dian Fan, Gan Guo, Jiaming Song, Lanfei Li, Yue Zhu:
DOA Estimation for Arbitrarily Distributed Subarrays in UAV Swarm. ICCC 2020: 794-799 - [c32]Jiaming Song, Stefano Ermon:
Understanding the Limitations of Variational Mutual Information Estimators. ICLR 2020 - [c31]Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon:
A Theory of Usable Information under Computational Constraints. ICLR 2020 - [c30]Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon:
Domain Adaptive Imitation Learning. ICML 2020: 5286-5295 - [c29]Jiaming Song, Stefano Ermon:
Bridging the Gap Between f-GANs and Wasserstein GANs. ICML 2020: 9078-9087 - [c28]Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon:
Training Deep Energy-Based Models with f-Divergence Minimization. ICML 2020: 10957-10967 - [c27]Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon:
Belief Propagation Neural Networks. NeurIPS 2020 - [c26]Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon:
Autoregressive Score Matching. NeurIPS 2020 - [c25]Jiaming Song, Stefano Ermon:
Multi-label Contrastive Predictive Coding. NeurIPS 2020 - [i35]Yilun Xu, Shengjia Zhao, Jiaming Song, Russell Stewart, Stefano Ermon:
A Theory of Usable Information Under Computational Constraints. CoRR abs/2002.10689 (2020) - [i34]Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon:
Permutation Invariant Graph Generation via Score-Based Generative Modeling. CoRR abs/2003.00638 (2020) - [i33]Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon:
Gaussianization Flows. CoRR abs/2003.01941 (2020) - [i32]Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon:
Training Deep Energy-Based Models with f-Divergence Minimization. CoRR abs/2003.03463 (2020) - [i31]Jiaming Song, Lunjia Hu, Yann N. Dauphin, Michael Auli, Tengyu Ma:
Robust and On-the-fly Dataset Denoising for Image Classification. CoRR abs/2003.10647 (2020) - [i30]Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon:
Experience Replay with Likelihood-free Importance Weights. CoRR abs/2006.13169 (2020) - [i29]Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon:
Belief Propagation Neural Networks. CoRR abs/2007.00295 (2020) - [i28]Jiaming Song, Stefano Ermon:
Multi-label Contrastive Predictive Coding. CoRR abs/2007.09852 (2020) - [i27]Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese:
Privacy Preserving Recalibration under Domain Shift. CoRR abs/2008.09643 (2020) - [i26]Jiaming Song, Chenlin Meng, Stefano Ermon:
Denoising Diffusion Implicit Models. CoRR abs/2010.02502 (2020) - [i25]Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon:
Imitation with Neural Density Models. CoRR abs/2010.09808 (2020) - [i24]Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon:
Autoregressive Score Matching. CoRR abs/2010.12810 (2020)
2010 – 2019
- 2019
- [c24]Shengjia Zhao, Jiaming Song, Stefano Ermon:
InfoVAE: Balancing Learning and Inference in Variational Autoencoders. AAAI 2019: 5885-5892 - [c23]Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon:
Learning Controllable Fair Representations. AISTATS 2019: 2164-2173 - [c22]Jiaming Song, Xiaobo Song, Xiaoli Wang:
A New Scheduling Model for Tire Production and Transportation Among Distributed Factories. CIS 2019: 50-53 - [c21]Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou:
A Scalable Sparse Matrix-Based Join for SPARQL Query Processing. DASFAA (3) 2019: 510-514 - [c20]Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon:
Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. DGS@ICLR 2019 - [c19]Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon:
Calibrated Model-Based Deep Reinforcement Learning. ICML 2019: 4314-4323 - [c18]Lantao Yu, Jiaming Song, Stefano Ermon:
Multi-Agent Adversarial Inverse Reinforcement Learning. ICML 2019: 7194-7201 - [c17]Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon:
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. NeurIPS 2019: 11056-11068 - [i23]Ali Malik, Volodymyr Kuleshov, Jiaming Song, Danny Nemer, Harlan Seymour, Stefano Ermon:
Calibrated Model-Based Deep Reinforcement Learning. CoRR abs/1906.08312 (2019) - [i22]Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon:
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. CoRR abs/1906.09531 (2019) - [i21]Lantao Yu, Jiaming Song, Stefano Ermon:
Multi-Agent Adversarial Inverse Reinforcement Learning. CoRR abs/1907.13220 (2019) - [i20]Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon:
Cross Domain Imitation Learning. CoRR abs/1910.00105 (2019) - [i19]Jiaming Song, Stefano Ermon:
Understanding the Limitations of Variational Mutual Information Estimators. CoRR abs/1910.06222 (2019) - [i18]Jiaming Song, Yang Song, Stefano Ermon:
Unsupervised Out-of-Distribution Detection with Batch Normalization. CoRR abs/1910.09115 (2019) - [i17]Jiaming Song, Stefano Ermon:
Bridging the Gap Between $f$-GANs and Wasserstein GANs. CoRR abs/1910.09779 (2019) - 2018
- [j2]Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon:
Learning with Weak Supervision from Physics and Data-Driven Constraints. AI Mag. 39(1): 27-38 (2018) - [j1]Jiaming Song, Xiaojuan Wang, Lei Jin, Jingwen You:
Malicious behaviour classification in web logs based on an improved Xgboost algorithm. Int. J. Web Eng. Technol. 13(4): 334-362 (2018) - [c16]Sheng Wang, Jiaming Song, Ruixu Guo:
Char-Level Neural Network for Network Anomaly Behavior Detection. HCC 2018: 60-68 - [c15]Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon:
Multi-Agent Generative Adversarial Imitation Learning. ICLR (Workshop) 2018 - [c14]Yang Song, Jiaming Song, Stefano Ermon:
Accelerating Natural Gradient with Higher-Order Invariance. ICML 2018: 4720-4729 - [c13]Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon:
Adversarial Constraint Learning for Structured Prediction. IJCAI 2018: 2637-2643 - [c12]Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon:
Multi-Agent Generative Adversarial Imitation Learning. NeurIPS 2018: 7472-7483 - [c11]Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah D. Goodman, Stefano Ermon:
Bias and Generalization in Deep Generative Models: An Empirical Study. NeurIPS 2018: 10815-10824 - [c10]Shengjia Zhao, Jiaming Song, Stefano Ermon:
A Lagrangian Perspective on Latent Variable Generative Models. UAI 2018: 1031-1041 - [c9]Jiaming Song, Xiaowang Zhang, Peng Peng, Zhiyong Feng, Lei Zou:
MapSQ: A Plugin-based MapReduce Framework for SPARQL Queries on GPU. WWW (Companion Volume) 2018: 81-82 - [i16]Jiaming Song, Yuhuai Wu:
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients. CoRR abs/1801.05566 (2018) - [i15]Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon:
Adversarial Constraint Learning for Structured Prediction. CoRR abs/1805.10561 (2018) - [i14]Shengjia Zhao, Jiaming Song, Stefano Ermon:
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models. CoRR abs/1806.06514 (2018) - [i13]Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou:
gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing. CoRR abs/1807.07691 (2018) - [i12]Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon:
Multi-Agent Generative Adversarial Imitation Learning. CoRR abs/1807.09936 (2018) - [i11]Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah D. Goodman, Stefano Ermon:
Bias and Generalization in Deep Generative Models: An Empirical Study. CoRR abs/1811.03259 (2018) - [i10]Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon:
Learning Controllable Fair Representations. CoRR abs/1812.04218 (2018) - 2017
- [c8]Jiaying Feng, Chenhong Meng, Jiaming Song, Xiaowang Zhang, Zhiyong Feng, Lei Zou:
SPARQL Query Parallel Processing: A Survey. BigData Congress 2017: 444-451 - [c7]Jiaming Song, Shengjia Zhao, Stefano Ermon:
Generative Adversarial Learning of Markov Chains. ICLR (Workshop) 2017 - [c6]Shengjia Zhao, Jiaming Song, Stefano Ermon:
Learning Hierarchical Features from Deep Generative Models. ICML 2017: 4091-4099 - [c5]Yunzhu Li, Jiaming Song, Stefano Ermon:
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations. NIPS 2017: 3812-3822 - [c4]Jiaming Song, Shengjia Zhao, Stefano Ermon:
A-NICE-MC: Adversarial Training for MCMC. NIPS 2017: 5140-5150 - [i9]Shengjia Zhao, Jiaming Song, Stefano Ermon:
Learning Hierarchical Features from Generative Models. CoRR abs/1702.08396 (2017) - [i8]Shengjia Zhao, Jiaming Song, Stefano Ermon:
Towards Deeper Understanding of Variational Autoencoding Models. CoRR abs/1702.08658 (2017) - [i7]Jiaming Song, Russell Stewart, Shengjia Zhao, Stefano Ermon:
On the Limits of Learning Representations with Label-Based Supervision. CoRR abs/1703.02156 (2017) - [i6]Yunzhu Li, Jiaming Song, Stefano Ermon:
Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs. CoRR abs/1703.08840 (2017) - [i5]Shengjia Zhao, Jiaming Song, Stefano Ermon:
InfoVAE: Information Maximizing Variational Autoencoders. CoRR abs/1706.02262 (2017) - [i4]Jiaming Song, Shengjia Zhao, Stefano Ermon:
A-NICE-MC: Adversarial Training for MCMC. CoRR abs/1706.07561 (2017) - 2016
- [c3]Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang:
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. AAAI 2016: 1153-1159 - [c2]Tianqi Lv, Jiaming Song, Xiaojuan Wang, Nianhao Liu, Mo Chen:
Online-offline consistency exploration based on the alternating direction method of multipliers. ICCSE 2016: 617-620 - [c1]Jiaming Song, Zhe Gan, Lawrence Carin:
Factored Temporal Sigmoid Belief Networks for Sequence Learning. ICML 2016: 1272-1281 - [i3]Jun Zhu, Jiaming Song, Bei Chen:
Max-Margin Nonparametric Latent Feature Models for Link Prediction. CoRR abs/1602.07428 (2016) - [i2]Jiaming Song, Zhe Gan, Lawrence Carin:
Factored Temporal Sigmoid Belief Networks for Sequence Learning. CoRR abs/1605.06715 (2016) - 2015
- [i1]Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang:
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. CoRR abs/1512.02016 (2015)
Coauthor Index
[j5] [c65] [c60] [c59] [c56] [i66] [i62] [i60] [i58] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i54] [i53] [i52] [i50] [i49] [i48] [i47] [c46] [c45] [c44] [c43] [c42] [c40] [c39] [c38] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i36] [c37] [c36] [c35] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i35] [i34] [i33] [i32] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [c24] [c23] [c20] [c19] [c18] [c17] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j2] [c15] [c14] [c13] [c12] [c11] [c10] [i15] [i14] [i12] [i11] [i10] [c7] [c6] [c5] [c4] [i9] [i8] [i7] [i6] [i5] [i4]
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