On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
Models

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models

29 March 2019

Erik Nijkamp

Papers citing "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"

17 / 17 papers shown

Title
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper] Andreas Habring Alexander Falk T. Pock 50 0 0 03 Feb 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang X. Li 61 9 0 03 Jan 2025
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 16 0 0 28 May 2024
Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems Jyothi Rikabh Chand Mathews Jacob MedIm 11 1 0 08 Feb 2024
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers Alan Wu Michael S. Ryoo 11 3 0 06 Jun 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 15 0 0 03 Apr 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 6 8 0 02 Feb 2023
Explaining the effects of non-convergent sampling in the training of Energy-Based Models E. Agoritsas Giovanni Catania A. Decelle Beatriz Seoane DiffM 12 10 0 23 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 13 9 0 27 Dec 2022
Energy-based Generative Models for Target-specific Drug Discovery Junde Li Collin Beaudoin Swaroop Ghosh MedIm 24 3 0 05 Dec 2022
Physics-informed Neural Networks with Unknown Measurement Noise Philipp Pilar Niklas Wahlström PINN 11 6 0 28 Nov 2022
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll T. Pock OOD MedIm DiffM 11 17 0 25 Oct 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics Lianhui Qin Sean Welleck Daniel Khashabi Yejin Choi AI4CE 34 144 0 23 Feb 2022
Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data Jacob Kelly R. Zemel Will Grathwohl 26 2 0 19 Jul 2021
A Neural Network MCMC sampler that maximizes Proposal Entropy Zengyi Li Yubei Chen Friedrich T. Sommer 11 14 0 07 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 27 16,587 0 19 Jun 2020
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 8 207 0 22 Apr 2019