François Roueff

Orcid: 0000-0003-2372-0724

According to our database1, François Roueff authored at least 25 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
New Penalized Criteria for Smooth Non-Negative Tensor Factorization With Missing Entries.
IEEE Trans. Signal Process., 2024

Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound.
CoRR, 2024

Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multifrequency Highly Oscillating Aperiodic Amplitude Estimation for Nonlinear Chirp Signal.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Monotonic Alpha-divergence Minimisation for Variational Inference.
J. Mach. Learn. Res., 2023

DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

2021
Monotonic Alpha-divergence Minimisation.
CoRR, 2021

Smooth nonnegative tensor factorization for multi-sites electrical load monitoring.
Proceedings of the 29th European Signal Processing Conference, 2021

Nonlinear Functional Output Regression: A Dictionary Approach.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2017
Identification of a thermal building model by learning the dynamics of the solar flux.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
Nonparametric estimation of a shot-noise process.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Maximum likelihood estimation of a low-order building model.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Convergence to Stable Laws in the Space <i>D</i>.
J. Appl. Probab., 2015

2014
Modelling Bid and Ask Prices Using Constrained Hawkes Processes: Ergodicity and Scaling Limit.
SIAM J. Financial Math., 2014

2011
Inference of a Generalized Long Memory Process in the Wavelet Domain.
IEEE Trans. Signal Process., 2011

Linear Precoders for the Detection of a Gaussian Process in Wireless Sensors Networks.
IEEE Trans. Signal Process., 2011

Error Exponents for Neyman-Pearson Detection of a Continuous-Time Gaussian Markov Process From Regular or Irregular Samples.
IEEE Trans. Inf. Theory, 2011

A Data-Mining Approach to Travel Price Forecasting.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
Neyman-Pearson Detection of a Gaussian Source using Dumb Wireless Sensors
CoRR, 2010

2009
Error exponents for Neyman-Pearson detection of a continuous-time Gaussian Markov process from noisy irregular samples
CoRR, 2009

On the error exponents for detecting randomly sampled noisy diffusion processes.
Proceedings of the IEEE International Conference on Acoustics, 2009

2007
Statistical Pileup Correction Method for HPGe Detectors.
IEEE Trans. Signal Process., 2007

Modeling Occlusion and Scaling in Natural Images.
Multiscale Model. Simul., 2007

2006
Energy Spectrum Reconstruction for HPGe Detectors Using Analytical Pile-Up Correction.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
A geometrical a priori for capturing the regularity of images.
Proceedings of the 13th European Signal Processing Conference, 2005


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