https://anr.fr/en/funded-projects-and-impact/funded-projects/project/funded/project/b2d9d3668f92a3b9fbbf7866072501ef-8db696bd0b/?tx_anrprojects_funded%5Bcontroller%5D=Funded&cHash=3153800df55ed6bd023a1a131fca2929
Restricted Boltzmann Machines for Modelling Physical Systems: Theory and Applications to Proteins |...
First-principle approaches to the modelling of complex physical systems, i.e. with strong and heterogeneous interactions, have often produced limited progress...
restricted boltzmann machinestheory and applicationsphysical systems
https://arxiv.org/abs/1501.01501
[1501.01501] Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines
Abstract page for arXiv paper 1501.01501: Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines
https://arxiv.org/abs/2309.02292v3
[2309.02292v3] Inferring effective couplings with Restricted Boltzmann Machines
Abstract page for arXiv paper 2309.02292v3: Inferring effective couplings with Restricted Boltzmann Machines
2309inferringeffectivecouplingsrestricted
https://openreview.net/forum?id=PdxAY-yisK5
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines |...
We apply an unsupervised ensemble learning technique to aggregate feature attribution maps for a more accurate and robust interpretation of deep neural...
ensemble of
https://arxiv.org/abs/2409.07679
[2409.07679] Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond...
Abstract page for arXiv paper 2409.07679: Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence...