Year 2025

Preprints

• A theoretical framework for overfitting in energy-based modeling
• Inferring High-Order Couplings with Neural Networks
• LoRA-DR-suite: adapted embeddings predict intrinsic and soft disorder from protein sequences

Published

• Fast, accurate training and sampling of Restricted Boltzmann Machines - ICLR

 

 

Year 2024

Preprints

• Predicting large scale cosmological structure evolution with GAN-based autoencoders

Published

• Cascade of phase transitions in the training of Energy-based models - Neurips 2024
• Inferring effective couplings with restricted Boltzmann machines - Scipost
• Copycat perceptron: Smashing barriers through collective learning - PRE
• Small field chaos in spin glasses: Universal predictions from the ultrametric tree and comparison with numerical simulations - PNAS
• The quantum transition of the two-dimensional Ising spin glass - Nature
• Evidence of a second-order phase transition in the six-dimensional Ising spin glass in a field - PRE
• The QISG suite: high-performance codes for studying Quantum Ising Spin Glasses - Computer Physics Communications
• Phase transition in the computational complexity of the shortest common superstring and genome assembly - PRE
• Quantifying memory in spin glasses - PRE
• Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics -IEEE Transactions on Pattern Analysis and Machine Intelligence 
•  Multifractality in spin glasses - PNAS

 

 

Year 2023

Preprints

• A New Perspective on Thermally Fluctuating 2D Elastic Membranes: Introducing Odd Elastic Moduli and Non-Equilibrium Effects

• Finite-size scaling of the random-field Ising model above the upper critical dimension

• Second order phase transition in the six-dimensional Ising spin glass on a field

Book Chapters

• Numerical simulations and replica symmetry breaking - Spin Glass Theory and Far Beyond: Replica Symmetry Breaking After 40 Years, World Scientific
• The mighty force: statistical inference and high-dimensional statistics - Spin Glass Theory and Far Beyond: Replica Symmetry Breaking After 40 Years, World Scientific

Published

• Unsupervised hierarchical clustering using the learning dynamics of restricted Boltzmann machines, Phys. Rev E, link to arXiv

• Explaining the effects of non-convergent sampling in the training of Energy-Based Models, ICML 2023
• Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra, A&A
• Thermodynamics of bidirectional associative memories, J of Phys A: Math&Th., link to arXiv
• Deep convolutional and conditional neural networks for large-scale genomic data generation - PLOS Computational Biology
• Learning a restricted Boltzmann machine using biased Monte Carlo sampling - SciPost Physics
• Memory and rejuvenation effects in spin glasses are governed by more than one length scale - Nature Phys
• Fundamental problems in statistical physics XIV: Lecture on Machine Learning - Physica A: Statistical Mechanics and its Applications

 

 

Year 2022

Preprints

• Fundamental problems in statistical physics XIV: Lecture on Machine Learning
• Soft disorder modulates the assembly path of protein complexes
• Memory and rejuvenation in spin glasses: aging systems are ruled by more than one length scale
• Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling
• Magnetic-field symmetry breaking in spin glasses

Book chapter "Spin Glass Theory & Far Beyond - Replica Symmetry Breaking after 40 Years" (World Scientific 2023):

• The mighty force: statistical inference and high-dimensional statistics
• Numerical Simulations and Replica Symmetry Breaking