Cyril Furtlehner

According to our database, Cyril Furtlehner authored at least 28 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., October, 2023

Inferring effective couplings with Restricted Boltzmann Machines.

Aurélien Decelle, Cyril Furtlehner, Alfonso De Jesus Navas Gómez, Beatriz Seoane

CoRR, 2023

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

Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling.

Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane

CoRR, 2022

2021

Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines.

Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Restricted Boltzmann Machine, recent advances and mean-field theory.

Aurélien Decelle, Cyril Furtlehner

CoRR, 2020

Dynamic Time Lag Regression: Predicting What & When.

Mandar Chandorkar, Cyril Furtlehner, Bala Poduval, Enrico Camporeale, Michèle Sebag

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines.

Giancarlo Fissore, Yufei Han, Aurélien Decelle, Cyril Furtlehner

Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019

Gaussian-Spherical Restricted Boltzmann Machines.

Aurélien Decelle, Cyril Furtlehner

CoRR, 2019

2018

Thermodynamics of Restricted Boltzmann Machines and related learning dynamics.

Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner

CoRR, 2018

2017

Spectral Learning of Restricted Boltzmann Machines.

Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner

CoRR, 2017

2016

Latent binary MRF for online reconstruction of large scale systems.

Victorin Martin, Jean-Marc Lasgouttes, Cyril Furtlehner

Ann. Math. Artif. Intell., 2016

2014

Data Stream Clustering With Affinity Propagation.

Xiangliang Zhang, Cyril Furtlehner, Cécile Germain-Renaud, Michèle Sebag

IEEE Trans. Knowl. Data Eng., 2014

GMRF Estimation under Topological and Spectral Constraints.

Victorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Using Latent Binary Variables for Online Reconstruction of Large Scale Systems.

Victorin Martin, Jean-Marc Lasgouttes, Cyril Furtlehner

CoRR, 2013

Traffic data reconstruction based on Markov random field modeling.

Shun Kataoka, Muneki Yasuda, Cyril Furtlehner, Kazuyuki Tanaka

CoRR, 2013

2012

Pairwise MRF Calibration by Perturbation of the Bethe Reference Point

Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes, Victorin Martin

CoRR, 2012

Local stability of Belief Propagation algorithm with multiple fixed points.

Victorin Martin, Jean-Marc Lasgouttes, Cyril Furtlehner

Proceedings of the STAIRS 2012, 2012

2011

The Role of Normalization in the Belief Propagation Algorithm

Victorin Martin, Jean-Marc Lasgouttes, Cyril Furtlehner

CoRR, 2011

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

Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Exactly Solvable Stochastic Processes for Traffic Modelling.

Maxim Samsonov, Cyril Furtlehner, Jean-Marc Lasgouttes

Proceedings of the Computer and Information Sciences, 2010

2009

Scaling Analysis of Affinity Propagation

Cyril Furtlehner, Michèle Sebag, Xiangliang Zhang

CoRR, 2009

Learning Multiple Belief Propagation Fixed Points for Real Time Inference

Cyril Furtlehner, Jean-Marc Lasgouttes, Anne Auger

CoRR, 2009

Toward autonomic grids: analyzing the job flow with affinity streaming.

Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain-Renaud, Michèle Sebag

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Distributed and Incremental Clustering Based on Weighted Affinity Propagation.

Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

Proceedings of the STAIRS 2008, 2008

Data Streaming with Affinity Propagation.

Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007

Statistical Physics Algorithms for Traffic Reconstruction.

Arnaud de La Fortelle, Jean-Marc Lasgouttes, Cyril Furtlehner

ERCIM News, 2007

A Belief Propagation Approach to Traffic Prediction using Probe Vehicles.

Cyril Furtlehner, Jean-Marc Lasgouttes, Arnaud de La Fortelle

Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007