Beatriz Seoane

Orcid: 0000-0003-4007-9406

According to our database1, Beatriz Seoane authored at least 17 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Inferring effective couplings with Restricted Boltzmann Machines.
CoRR, 2023

The Copycat Perceptron: Smashing Barriers Through Collective Learning.
CoRR, 2023

Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics.
CoRR, 2023

Unsupervised hierarchical clustering using the learning dynamics of RBMs.
CoRR, 2023

Explaining the effects of non-convergent sampling in the training of Energy-Based Models.
CoRR, 2023

Explaining the effects of non-convergent MCMC in the training of Energy-Based Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Soft disorder modulates the assembly path of protein complexes.
PLoS Comput. Biol., November, 2022

Thermodynamics of bidirectional associative memories.
CoRR, 2022

Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling.
CoRR, 2022

2021
The complexity of protein interactions unravelled from structural disorder.
PLoS Comput. Biol., 2021

Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Learning a Gauge Symmetry with Neural Networks.
CoRR, 2019

2014
Janus II: A new generation application-driven computer for spin-system simulations.
Comput. Phys. Commun., 2014

2013

2012
Reconfigurable computing for Monte Carlo simulations: results and prospects of the Janus project
CoRR, 2012




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