Free Energy Minimization: A Unified Framework for Modelling, Inference,
Learning,and Optimization

Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization

25 November 2020

Sharu Theresa Jose

Osvaldo Simeone

ArXiv (abs)PDF HTML

Papers citing "Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization"

5 / 5 papers shown

Title
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction Seohyeon Cha Honggu Kang Joonhyuk Kang 100 3 0 17 Oct 2023
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness C. Hartmann Lorenz Richter AAML 57 2 0 05 Jul 2023
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 73 18 0 29 Aug 2022
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 98 12 0 02 Aug 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 84 17 0 15 Dec 2020