François Roueff
Orcid: 0000-0003-2372-0724
According to our database1,
François Roueff
authored at least 26 papers
between 2005 and 2024.
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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
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
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
Proceedings of the 29th European Signal Processing Conference, 2021
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
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
2015
2014
Modelling Bid and Ask Prices Using Constrained Hawkes Processes: Ergodicity and Scaling Limit.
SIAM J. Financial Math., 2014
2011
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
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
2010
2009
Error exponents for Neyman-Pearson detection of a continuous-time Gaussian Markov process from noisy irregular samples
CoRR, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2007
IEEE Trans. Signal Process., 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
Proceedings of the 13th European Signal Processing Conference, 2005