A Belief Propagation Approach to Traffic Prediction using Probe Vehicles. - Cyril Furtlehner; Jean-Marc Lasgouttes; Arnaud de La Fortelle (ITSC, 2007)

Statistical Physics Algorithms for Traffic Reconstruction. - Arnaud de La Fortelle; Jean-Marc Lasgouttes; Cyril Furtlehner (ERCIM News, 2007)

Data Streaming with Affinity Propagation. - Xiangliang Zhang 001; Cyril Furtlehner; Michèle Sebag (ECML/PKDD (2), 2008)

Distributed and Incremental Clustering Based on Weighted Affinity Propagation. - Xiangliang Zhang 001; Cyril Furtlehner; Michèle Sebag (STAIRS, 2008)

Toward autonomic grids: analyzing the job flow with affinity streaming. - Xiangliang Zhang 001; Cyril Furtlehner; Julien Perez; Cécile Germain-Renaud; Michèle Sebag (KDD, 2009)

Learning Multiple Belief Propagation Fixed Points for Real Time Inference - Cyril Furtlehner; Jean-Marc Lasgouttes; Anne Auger (CoRR, 2009)

Scaling Analysis of Affinity Propagation - Cyril Furtlehner; Michèle Sebag; Xiangliang Zhang 001 (CoRR, 2009)

Exactly Solvable Stochastic Processes for Traffic Modelling. - Maxim Samsonov; Cyril Furtlehner; Jean-Marc Lasgouttes (ISCIS, 2010)

Spatial and temporal analysis of traffic states on large scale networks. - Cyril Furtlehner; Yufei Han; Jean-Marc Lasgouttes; Victorin Martin; Fabrice Marchal; Fabien Moutarde (ITSC, 2010)

The Role of Normalization in the Belief Propagation Algorithm - Victorin Martin; Jean-Marc Lasgouttes; Cyril Furtlehner (CoRR, 2011)

Local stability of Belief Propagation algorithm with multiple fixed points. - Victorin Martin; Jean-Marc Lasgouttes; Cyril Furtlehner (STAIRS, 2012)

Pairwise MRF Calibration by Perturbation of the Bethe Reference Point - Cyril Furtlehner; Yufei Han; Jean-Marc Lasgouttes; Victorin Martin (CoRR, 2012)

Traffic data reconstruction based on Markov random field modeling. - Shun Kataoka; Muneki Yasuda; Cyril Furtlehner; Kazuyuki Tanaka (CoRR, 2013)

Using Latent Binary Variables for Online Reconstruction of Large Scale Systems. - Victorin Martin; Jean-Marc Lasgouttes; Cyril Furtlehner (CoRR, 2013)

GMRF Estimation under Topological and Spectral Constraints. - Victorin Martin; Cyril Furtlehner; Yufei Han; Jean-Marc Lasgouttes (ECML/PKDD (2), 2014)

Data Stream Clustering With Affinity Propagation. - Xiangliang Zhang 001; Cyril Furtlehner; Cécile Germain-Renaud; Michèle Sebag (IEEE Trans. Knowl. Data Eng., 2014)

Latent binary MRF for online reconstruction of large scale systems. - Victorin Martin; Jean-Marc Lasgouttes; Cyril Furtlehner (Ann. Math. Artif. Intell., 2016)

Spectral Learning of Restricted Boltzmann Machines. - Aurélien Decelle; Giancarlo Fissore; Cyril Furtlehner (CoRR, 2017)

Thermodynamics of Restricted Boltzmann Machines and related learning dynamics. - Aurélien Decelle; Giancarlo Fissore; Cyril Furtlehner (CoRR, 2018)

Gaussian-Spherical Restricted Boltzmann Machines. - Aurélien Decelle; Cyril Furtlehner (CoRR, 2019)

Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. - Giancarlo Fissore; Yufei Han; Aurélien Decelle; Cyril Furtlehner (STAIRS@ECAI, 2020)

Dynamic Time Lag Regression: Predicting What & When. - Mandar Chandorkar; Cyril Furtlehner; Bala Poduval; Enrico Camporeale; Michèle Sebag (ICLR, 2020)

Restricted Boltzmann Machine, recent advances and mean-field theory. - Aurélien Decelle; Cyril Furtlehner (CoRR, 2020)

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

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

Short-Term Forecasting of Urban Traffic Using Spatio-Temporal Markov Field. - Cyril Furtlehner; Jean-Marc Lasgouttes; Alessandro Attanasi; Marco Pezzulla; Guido Gentile (IEEE Trans. Intell. Transp. Syst., 2022)

Towards creating longer genetic sequences with GANs: Generation in principal component space. - Antoine Szatkownik; Cyril Furtlehner; Guillaume Charpiat; Burak Yelmen; Flora Jay (MLCB, 2023)

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

Deep convolutional and conditional neural networks for large-scale genomic data generation. - Burak Yelmen; Aurélien Decelle; Leila Lea Boulos; Antoine Szatkownik; Cyril Furtlehner; Guillaume Charpiat; Flora Jay (PLoS Comput. Biol., 2023)

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)

ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning. - Nilo Schwencke; Cyril Furtlehner (ICLR, 2025)

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