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DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals.

, , and . ICLR, OpenReview.net, (2022)

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Scikit-learn: Machine learning in Python, , , , , , , , , and 1 other author(s). Journal of Machine Learning Research, 12 (Oct): 2825--2830 (2011)Encoding and Decoding Neuronal Dynamics: Methodological Framework to Uncover the Algorithms of Cognition, , , , , , , and . (2018)Stochastic algorithms with descent guarantees for ICA., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1564-1573. PMLR, (2019)Learning summary features of time series for likelihood free inference., and . CoRR, (2020)International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium., , , , , , , , , and 77 other author(s). npj Digit. Medicine, (2020)Shared Independent Component Analysis for Multi-Subject Neuroimaging., , , , and . NeurIPS, page 29962-29971. (2021)HNPE: Leveraging Global Parameters for Neural Posterior Estimation., , , and . NeurIPS, page 13432-13443. (2021)Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets., , , , and . CoRR, (2024)Diffusion posterior sampling for simulation-based inference in tall data settings., , , , and . CoRR, (2024)Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation., , and . CoRR, (2023)