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IEEE Transactions on Pattern Analysis and Machine Intelligence|November 11, 2024
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium PhysicsAlessandra Carbone, Aurelien Decelle, Lorenzo Rosset, et al.Plos Computational Biology|January 8, 2021
The complexity of protein interactions unravelled from structural disorderBeatriz Seoane, Alessandra CarbonePlos Computational Biology|November 17, 2022
Soft disorder modulates the assembly path of protein complexesBeatriz Seoane, Alessandra CarbonePhysical Review. E|August 16, 2023
Unsupervised hierarchical clustering using the learning dynamics of restricted Boltzmann machinesAurélien Decelle, Beatriz Seoane, Lorenzo RossetBioinformatics (Oxford, England)|July 15, 2025
LoRA-DR-suite: adapted embeddings predict intrinsic and soft disorder from protein sequencesGianluca Lombardi, Beatriz Seoane, Alessandra CarboneIEEE Transactions on Pattern Analysis and Machine Intelligence|November 10, 2021
Regularization of Mixture Models for Robust Principal Graph LearningTony Bonnaire, Aurelien Decelle, Nabila AghanimScientific Reports|October 8, 2021
Inverse problems for structured datasets using parallel TAP equations and restricted Boltzmann machinesAurelien Decelle, Sungmin Hwang, Jacopo Rocchi, et al.Physical Review Letters|September 10, 2011
Inference and phase transitions in the detection of modules in sparse networksAurelien Decelle, Florent Krzakala, Cristopher Moore, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 7, 2012
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applicationsAurelien Decelle, Florent Krzakala, Cristopher Moore, et al.Plos One|February 17, 2021
A scaling approach to estimate the age-dependent COVID-19 infection fatality ratio from incomplete dataBeatriz SeoanePageof 14