Cyril Furtlehner

According to our database1, Cyril Furtlehner authored at least 30 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Fast, accurate training and sampling of Restricted Boltzmann Machines.
CoRR, 2024

2023
Deep convolutional and conditional neural networks for large-scale genomic data generation.
PLoS Comput. Biol., October, 2023

Inferring effective couplings with Restricted Boltzmann Machines.
CoRR, 2023

Towards creating longer genetic sequences with GANs: Generation in principal component space.
Proceedings of the Machine Learning in Computational Biology, November 30, 2023

2022
Short-Term Forecasting of Urban Traffic Using Spatio-Temporal Markov Field.
IEEE Trans. Intell. Transp. Syst., 2022

Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling.
CoRR, 2022

2021
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines.
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.
CoRR, 2020

Dynamic Time Lag Regression: Predicting What & When.
Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines.
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.
CoRR, 2019

2018
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics.
CoRR, 2018

2017
Spectral Learning of Restricted Boltzmann Machines.
CoRR, 2017

2016
Latent binary MRF for online reconstruction of large scale systems.
Ann. Math. Artif. Intell., 2016

2014
Data Stream Clustering With Affinity Propagation.
IEEE Trans. Knowl. Data Eng., 2014

GMRF Estimation under Topological and Spectral Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Using Latent Binary Variables for Online Reconstruction of Large Scale Systems.
CoRR, 2013

Traffic data reconstruction based on Markov random field modeling.
CoRR, 2013

2012
Pairwise MRF Calibration by Perturbation of the Bethe Reference Point
CoRR, 2012

Local stability of Belief Propagation algorithm with multiple fixed points.
Proceedings of the STAIRS 2012, 2012

2011
The Role of Normalization in the Belief Propagation Algorithm
CoRR, 2011

2010
Spatial and temporal analysis of traffic states on large scale networks.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Exactly Solvable Stochastic Processes for Traffic Modelling.
Proceedings of the Computer and Information Sciences, 2010

2009
Scaling Analysis of Affinity Propagation
CoRR, 2009

Learning Multiple Belief Propagation Fixed Points for Real Time Inference
CoRR, 2009

Toward autonomic grids: analyzing the job flow with affinity streaming.
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.
Proceedings of the STAIRS 2008, 2008

Data Streaming with Affinity Propagation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007
Statistical Physics Algorithms for Traffic Reconstruction.
ERCIM News, 2007

A Belief Propagation Approach to Traffic Prediction using Probe Vehicles.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007


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