Title
A Variational Perspective on Diffusion-Based Generative Models and Score MatchingNeural Information Processing Systems (NeurIPS), 2021 Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 252 226 0 05 Jun 2021
Ab-initio study of interacting fermions at finite temperature with neural canonical transformationJournal of Machine Learning (JML), 2021 Hao Xie Linfeng Zhang Lei Wang 217 30 0 18 May 2021
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models Jiaxiang Wu Shitong Luo Tao Shen Haidong Lan Sheng Wang Junzhou Huang DiffM 250 8 0 11 May 2021
Learning Gradient Fields for Molecular Conformation GenerationInternational Conference on Machine Learning (ICML), 2021 Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 384 238 0 09 May 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 193 30 0 20 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 701 621 0 08 Mar 2021
Active Slices for Sliced Stein DiscrepancyInternational Conference on Machine Learning (ICML), 2021 Wenbo Gong Kaibo Zhang Yingzhen Li José Miguel Hernández-Lobato 293 8 0 05 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2021 Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 737 789 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 320 304 0 09 Jan 2021
Score Matched Neural Exponential Families for Likelihood-Free InferenceJournal of machine learning research (JMLR), 2020 Lorenzo Pacchiardi Ritabrata Dutta 498 29 0 20 Dec 2020
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020 Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 1.4K 8,715 0 26 Nov 2020
Autoregressive Score MatchingNeural Information Processing Systems (NeurIPS), 2020 Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 432 15 0 24 Oct 2020
Imitation with Neural Density ModelsNeural Information Processing Systems (NeurIPS), 2020 Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 220 14 0 19 Oct 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable ModelsInternational Conference on Machine Learning (ICML), 2020 Fan Bao Kun Xu Chongxuan Li Lanqing Hong Jun Zhu Bo Zhang DiffM 188 10 0 16 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 163 15 0 15 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based modelsInternational Conference on Learning Representations (ICLR), 2020 Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 304 75 0 08 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative ModelIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020 Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 176 14 0 27 Sep 2020
WaveGrad: Estimating Gradients for Waveform GenerationInternational Conference on Learning Representations (ICLR), 2020 Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 366 880 0 02 Sep 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 301 316 0 14 Aug 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 276 60 0 07 Jul 2020
Kernel Stein Generative Modeling Wei-Cheng Chang Chun-Liang Li Youssef Mroueh Yiming Yang DiffM BDL 196 5 0 06 Jul 2020
Sliced Kernelized Stein Discrepancy Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato 286 39 0 30 Jun 2020
Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability Suraj Srinivas François Fleuret FAtt 79 2 0 16 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 574 1,348 0 16 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim Aaron Courville C. Pal Chin-Wei Huang DRL 141 24 0 09 Jun 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 259 29 0 20 May 2020
Mutual Information Gradient Estimation for Representation LearningInternational Conference on Learning Representations (ICLR), 2020 Liangjiang Wen Yiji Zhou Lirong He Mingyuan Zhou Zenglin Xu DRL SSL 277 34 0 03 May 2020
Energy-Based Imitation LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Minghuan Liu Tairan He Minkai Xu Weinan Zhang 378 52 0 20 Apr 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Ziyu Wang Shuyu Cheng Yueru Li Jun Zhu Bo Zhang 149 14 0 18 Feb 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without SamplingInternational Conference on Machine Learning (ICML), 2020 Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud R. Zemel 217 14 0 13 Feb 2020
Learning Generative Models using Denoising Density EstimatorsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 242 16 0 08 Jan 2020
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching Zengyi Li Yubei Chen Friedrich T. Sommer DiffM 196 31 0 17 Oct 2019
Generative Modeling by Estimating Gradients of the Data DistributionNeural Information Processing Systems (NeurIPS), 2019 Yang Song Stefano Ermon SyDa DiffM 757 4,791 0 12 Jul 2019

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Sliced Score Matching: A Scalable Approach to Density and Score Estimation

Conference on Uncertainty in Artificial Intelligence (UAI), 2019

17 May 2019

Papers citing "Sliced Score Matching: A Scalable Approach to Density and Score Estimation"

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Title
A Variational Perspective on Diffusion-Based Generative Models and Score MatchingNeural Information Processing Systems (NeurIPS), 2021 Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 252 226 0 05 Jun 2021
Ab-initio study of interacting fermions at finite temperature with neural canonical transformationJournal of Machine Learning (JML), 2021 Hao Xie Linfeng Zhang Lei Wang 217 30 0 18 May 2021
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models Jiaxiang Wu Shitong Luo Tao Shen Haidong Lan Sheng Wang Junzhou Huang DiffM 250 8 0 11 May 2021
Learning Gradient Fields for Molecular Conformation GenerationInternational Conference on Machine Learning (ICML), 2021 Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 384 238 0 09 May 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 193 30 0 20 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 701 621 0 08 Mar 2021
Active Slices for Sliced Stein DiscrepancyInternational Conference on Machine Learning (ICML), 2021 Wenbo Gong Kaibo Zhang Yingzhen Li José Miguel Hernández-Lobato 293 8 0 05 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2021 Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 737 789 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 320 304 0 09 Jan 2021
Score Matched Neural Exponential Families for Likelihood-Free InferenceJournal of machine learning research (JMLR), 2020 Lorenzo Pacchiardi Ritabrata Dutta 498 29 0 20 Dec 2020
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020 Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 1.4K 8,715 0 26 Nov 2020
Autoregressive Score MatchingNeural Information Processing Systems (NeurIPS), 2020 Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 432 15 0 24 Oct 2020
Imitation with Neural Density ModelsNeural Information Processing Systems (NeurIPS), 2020 Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 220 14 0 19 Oct 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable ModelsInternational Conference on Machine Learning (ICML), 2020 Fan Bao Kun Xu Chongxuan Li Lanqing Hong Jun Zhu Bo Zhang DiffM 188 10 0 16 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 163 15 0 15 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based modelsInternational Conference on Learning Representations (ICLR), 2020 Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 304 75 0 08 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative ModelIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020 Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 176 14 0 27 Sep 2020
WaveGrad: Estimating Gradients for Waveform GenerationInternational Conference on Learning Representations (ICLR), 2020 Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 366 880 0 02 Sep 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 301 316 0 14 Aug 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 276 60 0 07 Jul 2020
Kernel Stein Generative Modeling Wei-Cheng Chang Chun-Liang Li Youssef Mroueh Yiming Yang DiffM BDL 196 5 0 06 Jul 2020
Sliced Kernelized Stein Discrepancy Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato 286 39 0 30 Jun 2020
Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability Suraj Srinivas François Fleuret FAtt 79 2 0 16 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 574 1,348 0 16 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim Aaron Courville C. Pal Chin-Wei Huang DRL 141 24 0 09 Jun 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 259 29 0 20 May 2020
Mutual Information Gradient Estimation for Representation LearningInternational Conference on Learning Representations (ICLR), 2020 Liangjiang Wen Yiji Zhou Lirong He Mingyuan Zhou Zenglin Xu DRL SSL 277 34 0 03 May 2020
Energy-Based Imitation LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Minghuan Liu Tairan He Minkai Xu Weinan Zhang 378 52 0 20 Apr 2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Ziyu Wang Shuyu Cheng Yueru Li Jun Zhu Bo Zhang 149 14 0 18 Feb 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without SamplingInternational Conference on Machine Learning (ICML), 2020 Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud R. Zemel 217 14 0 13 Feb 2020
Learning Generative Models using Denoising Density EstimatorsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 242 16 0 08 Jan 2020
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching Zengyi Li Yubei Chen Friedrich T. Sommer DiffM 196 31 0 17 Oct 2019
Generative Modeling by Estimating Gradients of the Data DistributionNeural Information Processing Systems (NeurIPS), 2019 Yang Song Stefano Ermon SyDa DiffM 757 4,791 0 12 Jul 2019

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