How to Train Your Energy-Based Models

9 January 2021

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

50 / 150 papers shown

Title
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 52 0 0 02 May 2025
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction Ze Zhang Georg Hess Junjie Hu Emmanuel Dean Lennart Svensson Knut Åkesson 48 0 0 01 May 2025
Flow Along the K-Amplitude for Generative Modeling Weitao Du Shuning Chang Jiasheng Tang Yu Rong F. Wang Shengchao Liu 51 0 0 27 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo Michelle Adeline Julia Kaiwen Lau Fang Yu Leong Hwa Hui Tew Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan BDL 66 0 0 22 Apr 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Sebastian Kaltenbach P. Koumoutsakos Bjoern H. Menze DiffM 22 1 0 14 Apr 2025
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery Jyothi Rikhab Chand M. Jacob DiffM 41 0 0 21 Mar 2025
Learning Energy-Based Models by Self-normalising the Likelihood Hugo Senetaire Paul Jeha Pierre-Alexandre Mattei J. Frellsen 38 0 0 10 Mar 2025
Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI Systems Mahfuz Ahmed Anik Abdur Rahman Azmine Toushik Wasi Md Manjurul Ahsan 47 1 0 05 Mar 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data Alexander Kolesov Manukhov Stepan Vladimir V. Palyulin Alexander Korotin 53 0 0 04 Feb 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Mingjia Li Shuang Li Tongrui Su Longhui Yuan Jian Liang Wei Li DiffM 37 0 0 03 Jan 2025
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model Yuzhong Hong Hanshan Zhang Junwei Bao Hongfei Jiang Yang Song OffRL 77 1 0 18 Dec 2024
Robust Contact-rich Manipulation through Implicit Motor Adaptation Teng Xue Amirreza Razmjoo Suhan Shetty Sylvain Calinon 96 1 0 16 Dec 2024
Diffusion Model from Scratch Wang Zhen Dong Yunyun DiffM 62 0 0 14 Dec 2024
Supervised Score-Based Modeling by Gradient Boosting Changyuan Zhao Hongyang Du Guangyuan Liu Dusit Niyato DiffM 43 0 0 02 Nov 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design Xiangxin Zhou Jiaqi Guan Y. Zhang Xingang Peng Liang Wang Jianzhu Ma 26 2 0 28 Oct 2024
Hamiltonian Score Matching and Generative Flows Peter Holderrieth Yilun Xu Tommi Jaakkola 26 0 0 27 Oct 2024
Vision-Language Navigation with Energy-Based Policy Rui Liu Wenguan Wang Y. Yang 40 3 0 18 Oct 2024
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation Da Long Zhitong Xu Guang Yang A. Narayan Shandian Zhe DiffM AI4CE 18 1 0 17 Oct 2024
Discrete distributions are learnable from metastable samples Abhijith Jayakumar A. Lokhov Sidhant Misra Marc Vuffray 42 1 0 17 Oct 2024
The Ingredients for Robotic Diffusion Transformers Sudeep Dasari Oier Mees Sebastian Zhao M. K. Srirama Sergey Levine 48 20 0 14 Oct 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation Yige Yuan Bingbing Xu Teng Xiao Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA 41 0 0 12 Oct 2024
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference Kenyon Ng Susan Wei BDL 16 0 0 08 Oct 2024
A noise-corrected Langevin algorithm and sampling by half-denoising Aapo Hyvärinen DiffM 33 1 0 08 Oct 2024
NRGBoost: Energy-Based Generative Boosted Trees João Bravo 40 0 0 04 Oct 2024
Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes Siliang Liu Rahul Suresh Amin Banitalebi-Dehkordi 30 2 0 20 Sep 2024
Taming Diffusion Models for Image Restoration: A Review Ziwei Luo Fredrik K. Gustafsson Zheng Zhao Jens Sjölund Thomas B. Schön 37 5 0 16 Sep 2024
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 67 9 0 10 Sep 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection Yewen Li Chaojie Wang Xiaobo Xia Xu He Ruyi An Dong Li Tongliang Liu Bo An Xinrun Wang OODD 50 0 0 05 Sep 2024
On the design space between molecular mechanics and machine learning force fields Yuanqing Wang Kenichiro Takaba Michael S. Chen Marcus Wieder Yuzhi Xu ... Kyunghyun Cho Joe G. Greener Peter K. Eastman Stefano Martiniani M. Tuckerman AI4CE 39 4 0 03 Sep 2024
Highly Accurate Real-space Electron Densities with Neural Networks Lixue Cheng P. Szabó Zeno Schätzle Derk Kooi Jonas Köhler Klaas J. H. Giesbertz Frank Noé J. Hermann Paola Gori-Giorgi Adam Foster 38 4 0 02 Sep 2024
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate Paul Jeha Will Grathwohl Michael Riis Andersen Carl Henrik Ek J. Frellsen DiffM 29 1 0 22 Aug 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation Jack Lu Ryan Teehan Mengye Ren DiffM 27 3 0 05 Aug 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling Junn Yong Loo Michelle Adeline Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan DiffM 38 0 0 21 Jul 2024
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control Huayu Chen Kaiwen Zheng Hang Su Jun Zhu 51 1 0 12 Jul 2024
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation Yinghua Yao Yuangang Pan Jing Li Ivor Tsang Xin Yao 57 6 0 05 Jul 2024
Kolmogorov-Smirnov GAN Maciej Falkiewicz Naoya Takeishi Alexandros Kalousis GAN 24 0 0 28 Jun 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 21 0 0 26 Jun 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 29 1 0 26 Jun 2024
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak Chen-Xiao Gao Yitong Li Chenjun Xiao Bo Dai DiffM 23 3 0 23 Jun 2024
Hitchhiker's guide on Energy-Based Models: a comprehensive review on the relation with other generative models, sampling and statistical physics Davide Carbone 28 1 0 19 Jun 2024
Cognitively Inspired Energy-Based World Models Alexi Gladstone Ganesh Nanduru Md. Mofijul Islam Aman Chadha Jundong Li Tariq Iqbal 33 0 0 13 Jun 2024
DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction Meng Liu Saee Paliwal 21 0 0 11 Jun 2024
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz M. Girolami Andrew M. Stuart A. Vadeboncoeur 38 1 0 28 May 2024
Switched Flow Matching: Eliminating Singularities via Switching ODEs Qunxi Zhu Wei Lin 35 1 0 19 May 2024
Towards Improving Learning from Demonstration Algorithms via MCMC Methods Carl Qi Edward Sun Harry Zhang OffRL 27 0 0 03 May 2024
On the Temperature of Machine Learning Systems Dong Zhang AI4CE 18 0 0 19 Apr 2024
Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation Gaurav Singh Sanket Kalwar Md Faizal Karim Bipasha Sen Nagamanikandan Govindan Srinath Sridhar K. M. Krishna 35 7 0 06 Apr 2024
Cryptographic Hardness of Score Estimation Min Jae Song 25 0 0 04 Apr 2024
Energy Correction Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Clément Rambour Nicolas Thome OODD 27 0 0 15 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 30 19 0 02 Mar 2024