221 citations
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR47 papers
- AgroParisTechFR18 papers
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR18 papers
- Université Paris-SaclayFR18 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Centre de Recherche en Mathématiques de la DécisionFR6 papers
- Mathématiques et Informatique Appliquées du Génome à l'EnvironnementFR6 papers
- Centre Inria de SaclayFR5 papers
- Laboratoire de Mathématiques d'OrsayFR5 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR5 papers
- Lyon 1 UniversitéFR5 papers
- Aix-Marseille UniversitéFR4 papers
82 papers
Convergence of Multi-Level Markov Chain Monte Carlo Adaptive Stochastic Gradient Algorithms
Antoine Godichon-Baggioni, Gabriel Lang, Sylvain Le Corff +2
Stochastic optimization in learning and inference often relies on Markov chain Monte Carlo (MCMC) to approximate gradients when exact computation is intractable. However, finite-ti…
Common Structure Discovery in Collections of Bipartite Networks: Application to Pollination Systems
Louis Lacoste, Pierre Barbillon, Sophie Donnet
Bipartite networks are widely used to encode the ecological interactions. Being able to compare the organization of bipartite networks is a first step toward a better understanding…
Comparing Symmetrized Determinant Neural Quantum States for the Hubbard Model
Louis Sharma, Ahmedeo Shokry, Rajah Nutakki +3
Accurate simulations of the Hubbard model are crucial to understanding strongly correlated phenomena, where small energy differences between competing orders demand high numerical…
Deep Generative Models for Discrete Genotype Simulation
Sihan Xie, Thierry Tribout, Didier Boichard +3
Deep generative models open new avenues for simulating realistic genomic data while preserving privacy and addressing data accessibility constraints. While previous studies have pr…
Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
Paul Bastide, Arnaud Estoup, Jean-Michel Marin +1
The marginal likelihood, or evidence, plays a central role in Bayesian model selection, yet remains notoriously challenging to compute in likelihood-free settings. While Simulation…
Coupling quantum spin ice to matter on the centered pyrochlore lattice
Rajah P. Nutakki, Sylvain Capponi, Ludovic D. C. Jaubert +1
The low-energy physics of quantum spin ice is known to support an emergent form of quantum electrodynamics (QED), where magnetic monopoles exist and the fine structure constant is…