C. Furtlehner

发表

Creating Artificial Human Genomes Using Generative Models

Cyril Furtlehner, Flora Jay, Luca Pagani, 2019, bioRxiv.

An Ising Model for Road Traffic Inference

Cyril Furtlehner, C. Furtlehner, 2013 .

Spectral Learning of Restricted Boltzmann Machines pdf

Giancarlo Fissore, Cyril Furtlehner, Aurelien Decelle, 2017, ArXiv.

Survey-propagation decimation through distributed local computations

M. Mézard, R. Zecchina, C. Furtlehner, 2005, cond-mat/0512002.

A Belief Propagation Approach to Traffic Prediction using Probe Vehicles

Arnaud de La Fortelle, Cyril Furtlehner, Jean-Marc Lasgouttes, 2007, 2007 IEEE Intelligent Transportation Systems Conference.

Loopy Belief Propagation Inference with a Prescribed Fixed Point

C. Furtlehner, .

One-Dimensional Particle Processes with Acceleration/Braking Asymmetry

C. Furtlehner, Jean-Marc Lasgouttes, M. Samsonov, 2011, 1109.1761.

Pairwise MRF Models Selection for Traffic Inference

C. Furtlehner, 2013 .

The Fundamental Diagram on the Ring Geometry for Particle Processes with Acceleration/Braking Asymmetry

C. Furtlehner, Jean-Marc Lasgouttes, M. Samsonov, 2013 .

N ov 2 00 5 Survey-propagation decimation through distributed local computations

M. Mézard, R. Zecchina, C. Furtlehner, 2007 .

New Results - Applications to E-science

Blaise Hanczar, Balázs Kégl, Karima Rafes, 2014 .

Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling

B. Seoane, A. Decelle, C. Furtlehner, 2022, ArXiv.

New Results - Applications

Michèle Sebag, Anne Auger, Xiangliang Zhang, 2007 .

New Results - Optimal Decision Making

Nataliya Sokolovska, David Auger, Michèle Sebag, 2011 .

New Results - Designing Criteria

Michèle Sebag, Alexandre Quemy, Marc Schoenauer, 2013 .

Survey-propagation decimation through distributed local computations

M. Mézard, R. Zecchina, C. Furtlehner, 2005, cond-mat/0512002.

Supplementary material

B. Seoane, A. Decelle, C. Furtlehner, 2013 .

Stochastic Dynamics of Discrete Curves and Multi-Type Exclusion Processes

G. Fayolle, C. Furtlehner, 2006, cond-mat/0603250.

Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling

B. Seoane, A. Decelle, C. Furtlehner, 2022, SciPost Physics.

Dynamical Windings of Random Walks and Exclusion Models. Part I: Thermodynamic Limit in ℤ2

G. Fayolle, C. Furtlehner, 2002, cond-mat/0211141.

Free Dynamics of Feature Learning Processes

C. Furtlehner, 2022, Journal of Statistical Physics.

Random magnetic impurities and the Landau problem

C. Furtlehner, S. Ouvry, J. Desbois, 1995, cond-mat/9509105.

Equilibrium and non-equilibrium regimes in the learning of restricted Boltzmann machines

B. Seoane, A. Decelle, C. Furtlehner, 2021, NeurIPS.

One-Dimensional Particle Processes with Acceleration/Braking Asymmetry

C. Furtlehner, Jean-Marc Lasgouttes, M. Samsonov, 2012, Journal of Statistical Physics.

Thermodynamics of Restricted Boltzmann Machines and Related Learning Dynamics

A. Decelle, C. Furtlehner, G. Fissore, 2018, Journal of Statistical Physics.

Multi-Objective 3-SAT with Survey-Propagation

C. Furtlehner, Marc Schoenauer, 2010, NIPS 2010.

Traffic data reconstruction based on Markov random field modeling pdf

Kazuyuki Tanaka, Cyril Furtlehner, Shun Kataoka, 2013, ArXiv.

Cycle-Based Cluster Variational Method for Direct and Inverse Inference

Cyril Furtlehner, Aur'elien Decelle, A. Decelle, 2016, 1602.03102.

Three-dimensional spatial diffusion in optical molasses

Cyril Furtlehner, William D. Phillips, C. Furtlehner, 1995 .

Stochastic Deformations of Sample Paths of Random Walks and Exclusion Models

G. Fayolle, C. Furtlehner, 2006, cond-mat/0603243.

CALOGERO MODELS FOR DISTINGUISHABLE PARTICLES

C. Furtlehner, S. Ouvry, 1994, hep-th/9407107.

Exact Training of Restricted Boltzmann Machines on Intrinsically Low Dimensional Data.

A. Decelle, C. Furtlehner, 2021, Physical review letters.

Exactly Solvable Stochastic Processes for Traffic Modelling

Maxim Samsonov, Cyril Furtlehner, Jean-Marc Lasgouttes, 2010, ISCIS.

Latent binary MRF for online reconstruction of large scale systems

C. Furtlehner, Jean-Marc Lasgouttes, Victorin Martin, 2013, Annals of Mathematics and Artificial Intelligence.

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

Cyril Furtlehner, Jean-Marc Lasgouttes, Victorin Martin, 2013, ArXiv.

Spatio-temporal Probabilistic Short-term Forecasting on Urban Networks

Lorenzo Meschini, Cyril Furtlehner, Jean-Marc Lasgouttes, 2018 .

Cycle-Based Cluster Variational Method for Direct and Inverse Inference

A. Decelle, C. Furtlehner, Cyril Furtlehner, 2016, Journal of Statistical Physics.

GMRF Estimation under Topological and Spectral Constraints

Yufei Han, Cyril Furtlehner, Jean-Marc Lasgouttes, 2014, ECML/PKDD.

Approximate inverse Ising models close to a Bethe reference point

Cyril Furtlehner, C. Furtlehner, 2013 .

Pairwise MRF Calibration by Perturbation of the Bethe Reference Point pdf

Yufei Han, Cyril Furtlehner, Jean-Marc Lasgouttes, 2012, ArXiv.

Spatial and temporal analysis of traffic states on large scale networks

Fabien Moutarde, Fabrice Marchal, Yufei Han, 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

Learning Multiple Belief Propagation Fixed Points for Real Time Inference pdf

Anne Auger, Cyril Furtlehner, Jean-Marc Lasgouttes, 2009, Physica A: Statistical Mechanics and its Applications.

Restricted Boltzmann machine: Recent advances and mean-field theory

A. Decelle, C. Furtlehner, 2020, Chinese Physics B.

Toward autonomic grids: analyzing the job flow with affinity streaming

Michèle Sebag, Xiangliang Zhang, Julien Perez, 2009, KDD.

Creating artificial human genomes using generative neural networks

Corentin Tallec, Burak Yelmen, A. Decelle, 2021, PLoS genetics.

Local stability of Belief Propagation algorithm with multiple fixed points pdf

Cyril Furtlehner, Jean-Marc Lasgouttes, Victorin Martin, 2012, STAIRS.

Physics of smectic membranes

C. Furtlehner, P. Pieranski, X. Leoncini, 1993 .

Deep Solar Imaging for Geomagnetic Storms Prediction

C. Furtlehner, Y. Diao, 2017 .

Restricted Boltzmann machine: Recent advances and mean-field theory

A. Decelle, C. Furtlehner, 2020, Chinese Physics B.

Thermodynamics of Restricted Boltzmann Machines and Related Learning Dynamics

Giancarlo Fissore, Cyril Furtlehner, Aurélien Decelle, 2018, Journal of Statistical Physics.

Spectral dynamics of learning in restricted Boltzmann machines

Giancarlo Fissore, Cyril Furtlehner, Aur'elien Decelle, 2017 .

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

Giancarlo Fissore, Yufei Han, Cyril Furtlehner, 2019, STAIRS@ECAI.

Gaussian-spherical restricted Boltzmann machines pdf

Cyril Furtlehner, Aurélien Decelle, A. Decelle, 2019, Journal of Physics A: Mathematical and Theoretical.

Short-Term Forecasting of Urban Traffic Using Spatio-Temporal Markov Field

Guido Gentile, Cyril Furtlehner, Jean-Marc Lasgouttes, 2022, IEEE Transactions on Intelligent Transportation Systems.

Dynamic Time Lag Regression: Predicting What & When

Enrico Camporeale, Michèle Sebag, Cyril Furtlehner, 2020, ICLR.

Scaling Analysis of Affinity Propagation

Michèle Sebag, Xiangliang Zhang, Cyril Furtlehner, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Data Stream Clustering With Affinity Propagation

M. Sebag, C. Germain, C. Furtlehner, 2014, IEEE Transactions on Knowledge and Data Engineering.

Data Streaming with Affinity Propagation

M. Sebag, C. Furtlehner, Xiangliang Zhang, 2008 .

Distributed and Incremental Clustering Based on Weighted Affinity Propagation

Michèle Sebag, Xiangliang Zhang, Cyril Furtlehner, 2008, STAIRS.

Frugal and Online Affinity Propagation

Michèle Sebag, Cyril Furtlehner, Xiangliang Zhang, 2008 .

A Queueing Theory Approach for a Multi-Speed Exclusion Process

Cyril Furtlehner, Jean-Marc Lasgouttes, C. Furtlehner, 2011, 1109.1756.

Deep convolutional and conditional neural networks for large-scale genomic data generation

Burak Yelmen, A. Decelle, C. Furtlehner, 2023, bioRxiv.