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Dive into the research topics where François Roueff is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
Bertholom, F., Douc, R. & Roueff, F., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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DISENTANGLING TIME SERIES REPRESENTATIONS VIA CONTRASTIVE INDEPENDENCE-OF-SUPPORT ON l-VARIATIONAL INFERENCE
Oublal, K., Ladjal, S., Benhaiem, D., Le-Borgne, E. & Roueff, F., 1 Jan 2024.Research output: Contribution to conference › Paper › peer-review
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Hilbert space-valued fractionally integrated autoregressive moving average processes with long memory operators
Durand, A. & Roueff, F., 1 Jul 2024, In: Journal of Statistical Planning and Inference. 231, 106146.Research output: Contribution to journal › Article › peer-review
Open Access -
Multifrequency Highly Oscillating Aperiodic Amplitude Estimation for Nonlinear Chirp Signal
Emelchenkov, A., Fontaine, M., Grenier, Y., Mahé, H. & Roueff, F., 1 Jan 2024, 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 2507-2511 5 p. (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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New Penalized Criteria for Smooth Non-Negative Tensor Factorization With Missing Entries
Durand, A., Roueff, F., Jicquel, J. M. & Paul, N., 1 Jan 2024, In: IEEE Transactions on Signal Processing. 72, p. 2233-2243 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
DISCOV: A Time Series Representations Disentanglement via Contrastive for Non-Intrusive Load Monitoring (NILM)
Oublal, K., Ladjal, S., Benhaiem, D., Le-Borgne, E. & Roueff, F., 1 Jan 2023, In: Proceedings of Machine Learning Research. 243, p. 209-222 14 p.Research output: Contribution to journal › Conference article › peer-review
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Monotonic Alpha-divergence Minimisation for Variational Inference
Daudel, K., Douc, R. & Roueff, F., 1 Jan 2023, In: Journal of Machine Learning Research. 24Research output: Contribution to journal › Article › peer-review
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The multichannel maximum-likelihood (MCML) method: a new approach for infrasound detection and wave parameter estimation
Poste, B., Charbit, M., Le Pichon, A., Listowski, C., Roueff, F. & Vergoz, J., 1 Feb 2023, In: Geophysical Journal International. 232, 2, p. 1099-1112 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Weakly stationary stochastic processes valued in a separable Hilbert space: Gramian-cramér representations and applications
Durand, A. & Roueff, F., 1 Jan 2023, In: ESAIM - Probability and Statistics. 27, p. 776-809 34 p.Research output: Contribution to journal › Article › peer-review
Open Access -
General-order observation-driven models: Ergodicity and consistency of the maximum likelihood estimator
Sim, T., Douc, R. & Roueff, F., 1 Jan 2021, In: Electronic Journal of Statistics. 15, 1, p. 3349-3393 45 p.Research output: Contribution to journal › Article › peer-review
Open Access