conftrace_

free energy

16 papers

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Co-occurring keywords

variational inference (2069) bayesian inference (1907) generative model (2892) gradient flow (142) energy-based model (251) active inference (8) transfer learning (5449) approximate inference (253) maximum likelihood estimation (233) replica method (6)

Papers

Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
Surprise Minimizing Multi-Agent Learning with Energy-based Models NIPS 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022
Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022
On Linear Model with Markov Signal Priors AISTATS 2022
Contrastive Active Inference NIPS 2021
Free Energy Wells and Overlap Gap Property in Sparse PCA COLT 2020
Deep active inference agents using Monte-Carlo methods NIPS 2020
A Free-Energy Principle for Representation Learning ICML 2020
The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity COLT 2018
The Benefits of Learning with Strongly Convex Approximate Inference ICML 2015
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Approximating the Permanent with Fractional Belief Propagation JMLR 2013
Free energy score space NIPS 2009
Expectation Consistent Approximate Inference JMLR 2005