How to Train Your Energy-Based Models

9 January 2021

Papers citing "How to Train Your Energy-Based Models"

50 / 150 papers shown

Title
Generative AI in Vision: A Survey on Models, Metrics and Applications Gaurav Raut Apoorv Singh VLM MedIm 43 6 0 26 Feb 2024
Optimal score estimation via empirical Bayes smoothing Andre Wibisono Yihong Wu Kaylee Yingxi Yang 54 20 0 12 Feb 2024
Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems Jyothi Rikabh Chand Mathews Jacob MedIm 13 1 0 08 Feb 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning Chia-Cheng Chiang Li-Cheng Lan Wei-Fang Sun Chien Feng Cho-Jui Hsieh Chun-Yi Lee 28 0 0 01 Feb 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled Shengchao Liu Chengpeng Wang Jiarui Lu Weili Nie Hanchen Wang Zhuoxinran Li Bolei Zhou Jian Tang 35 3 0 29 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 25 0 0 11 Jan 2024
Bring Metric Functions into Diffusion Models Jie An Zhengyuan Yang Jianfeng Wang Linjie Li Zicheng Liu Lijuan Wang Jiebo Luo DiffM 37 3 0 04 Jan 2024
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 26 17 0 16 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 31 2 0 14 Dec 2023
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning Sangwoong Yoon Dohyun Kwon Himchan Hwang Yung-Kyun Noh Frank C. Park 27 0 0 06 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 25 6 0 04 Dec 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 31 8 0 24 Nov 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 26 0 0 23 Nov 2023
SceneScore: Learning a Cost Function for Object Arrangement Ivan Kapelyukh Edward Johns OffRL DiffM OCL 24 4 0 14 Nov 2023
Convolve and Conquer: Data Comparison with Wiener Filters Deborah Pelacani Cruz G. Strong Oscar Bates Carlos Cueto Jiashun Yao Lluis Guasch 14 0 0 11 Nov 2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 16 1 0 09 Nov 2023
Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models Ryutaro Yamauchi Jinya Sakurai Ryo Furukawa Tatsushi Matsubayashi 3DPC 25 0 0 05 Nov 2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods C. Caramanis Dimitris Fotakis Alkis Kalavasis Vasilis Kontonis Christos Tzamos 11 5 0 08 Oct 2023
Stochastic Thermodynamics of Learning Parametric Probabilistic Models S. Parsi 42 0 0 04 Oct 2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller Marco Federici Christoph Weniger Patrick Forré 24 4 0 03 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 29 4 0 02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 37 2 0 02 Oct 2023
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models Sumeet Singh Stephen Tu Vikas Sindhwani DiffM 15 8 0 11 Sep 2023
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges Maryam Zare P. Kebria Abbas Khosravi Saeid Nahavandi 18 81 0 05 Sep 2023
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Torsten Bertram AI4CE 30 5 0 31 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 29 0 0 19 Jul 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 24 4 0 12 Jul 2023
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement Anthony Simeonov Ankit Goyal Lucas Manuelli Lin Yen-Chen Alina Sarmiento Alberto Rodriguez Pulkit Agrawal D. Fox DiffM 41 38 0 10 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Z. Li Zhihua Zhang DiffM 17 8 0 04 Jul 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis B. Dai U. Seljak 19 17 0 07 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 53 0 07 Jun 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 13 2 0 01 Jun 2023
On the Effectiveness of Hybrid Mutual Information Estimation Marco Federici David Ruhe Patrick Forré 11 5 0 01 Jun 2023
Approximate Stein Classes for Truncated Density Estimation Daniel J. Williams Song Liu 11 0 0 01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 16 4 0 30 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 26 30 0 28 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 32 10 0 26 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 26 3 0 19 May 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models Wenhao Ding Tong Che Ding Zhao Marco Pavone BDL OffRL 14 2 0 18 May 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang M. Katsoulakis 24 17 0 26 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 27 71 0 19 Apr 2023
Energy-guided Entropic Neural Optimal Transport Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 49 21 0 12 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 24 1 0 08 Apr 2023
Conservative objective models are a special kind of contrastive divergence-based energy model Christopher Beckham C. Pal 32 4 0 07 Apr 2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning Aapo Hyvarinen Ilyes Khemakhem H. Morioka CML OOD 32 34 0 29 Mar 2023
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model T. Templin Milad Memarzadeh W. Vinci P. A. Lott A. A. Asanjan Anthony Alexiades Armenakas E. Rieffel DRL 14 5 0 22 Mar 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 82 159 0 21 Mar 2023