Spin Glass Simulations on the Janus Architecture: A Desperate Quest for Strong Scaling. - Marco Baity-Jesi; Rachel A. Baños; Andrés Cruz Flor; Luis Antonio Fernández; José Miguel Gil-Narvión; Antonio Gordillo-Guerrero; Marco Guidetti; David Iñiguez; Andrea Maiorano; Filippo Mantovani; Enzo Marinari; Victor Martin-Mayor; et al. (Euro-Par Workshops, 2012)

Janus2: an FPGA-based supercomputer for spin glass simulations. - Marco Baity-Jesi; Rachel A. Baños; Andres Cruz Flor; Luis Antonio Fernández; José Miguel Gil-Narvión; Antonio Gordillo-Guerrero; Marco Guidetti; David Iñiguez; Andrea Maiorano; Filippo Mantovani; Enzo Marinari; Victor Martin-Mayor; et al. (FutureHPC@ICS, 2012)

Reconfigurable computing for Monte Carlo simulations: results and prospects of the Janus project - Marco Baity-Jesi; Rachel A. Baños; Andrés Cruz Flor; Luis Antonio Fernández; José Miguel Gil-Narvión; Antonio Gordillo-Guerrero; Marco Guidetti; David Iñiguez; Andrea Maiorano; Filippo Mantovani; Enzo Marinari; Victor Martin-Mayor; et al. (CoRR, 2012)

The Janus Project: Boosting Spin-Glass Simulations Using FPGAs. - Antonio Gordillo-Guerrero; Marco Baity-Jesi; Raquel Alvarez Baños; Andrés Cruz Flor; Luis Antonio Fernández; José Miguel Gil-Narvión; David Iñiguez; Andrea Maiorano; Fabio Mantovani; Enzo Marinari; Victor Martin-Mayor; Jorge Monforte-Garcia; et al. (PDeS, 2013)

Janus II: A new generation application-driven computer for spin-system simulations. - Marco Baity-Jesi; Rachel A. Baños; Andrés Cruz Flor; Luis Antonio Fernández; José Miguel Gil-Narvión; Antonio Gordillo-Guerrero; David Iñiguez; Andrea Maiorano; Filippo Mantovani; Enzo Marinari; Victor Martin-Mayor; Jorge Monforte-Garcia; et al. (Comput. Phys. Commun., 2014)

Learning a Gauge Symmetry with Neural Networks. - Aurélien Decelle; Victor Martin-Mayor; Beatriz Seoane (CoRR, 2019)

Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. - Aurélien Decelle; Cyril Furtlehner; Beatriz Seoane (NeurIPS, 2021)

The complexity of protein interactions unravelled from structural disorder. - Beatriz Seoane; Alessandra Carbone (PLoS Comput. Biol., 2021)

Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling. - Nicolas Béreux; Aurélien Decelle; Cyril Furtlehner; Beatriz Seoane (CoRR, 2022)

Thermodynamics of bidirectional associative memories. - Adriano Barra; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2022)

Soft disorder modulates the assembly path of protein complexes. - Beatriz Seoane; Alessandra Carbone (PLoS Comput. Biol., 2022)

Explaining the effects of non-convergent MCMC in the training of Energy-Based Models. - Elisabeth Agoritsas; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (ICML, 2023)

Explaining the effects of non-convergent sampling in the training of Energy-Based Models. - Elisabeth Agoritsas; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2023)

Unsupervised hierarchical clustering using the learning dynamics of RBMs. - Aurélien Decelle; Lorenzo Rosset; Beatriz Seoane (CoRR, 2023)

The Copycat Perceptron: Smashing Barriers Through Collective Learning. - Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2023)

Inferring effective couplings with Restricted Boltzmann Machines. - Aurélien Decelle; Cyril Furtlehner; Alfonso De Jesus Navas Gómez; Beatriz Seoane (CoRR, 2023)

Cascade of phase transitions in the training of energy-based models. - Dimitrios Bachtis; Giulio Biroli; Aurélien Decelle; Beatriz Seoane (NeurIPS, 2024)

Fast, accurate training and sampling of Restricted Boltzmann Machines. - Nicolas Béreux; Aurélien Decelle; Cyril Furtlehner; Lorenzo Rosset; Beatriz Seoane (CoRR, 2024)

Fast training and sampling of Restricted Boltzmann Machines. - Nicolas Béreux; Aurélien Decelle; Cyril Furtlehner; Lorenzo Rosset; Beatriz Seoane (ICLR, 2025)

Inferring High-Order Couplings with Neural Networks. - Aurélien Decelle; Alfonso De Jesus Navas Gómez; Beatriz Seoane (CoRR, 2025)

A theoretical framework for overfitting in energy-based modeling. - Giovanni Catania; Aurélien Decelle; Cyril Furtlehner; Beatriz Seoane (CoRR, 2025)

Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics. - Alessandra Carbone; Aurélien Decelle; Lorenzo Rosset; Beatriz Seoane (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

On the role of non-linear latent features in bipartite generative neural networks. - Tony Bonnaire; Giovanni Catania; Aurélien Decelle; Beatriz Seoane (CoRR, 2025)