Alexandre Gramfort
- API design for machine learning software: experiences from the scikit-learn project
2013/09/01 by Lars Buitinck, Gilles Louppe, Mathieu Blondel +12 · 3 voices · 15 citations
Computer Science · #cs.LG #cs.MS
- Machine Learning for Neuroimaging with Scikit-Learn
2014/12/12 by Alexandre Abraham, Abraham, Alexandre, Fabian Pedregosa +15 · 24 citations
Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function
- A deep learning architecture for temporal sleep stage classification\n using multivariate and multimodal time series
2017/07/05 by Stanislas Chambon, Mathieu Galtier, Chambon, Stanislas +7 · 18 citations
Neuroscience · Computer Science · Engineering · #EEG and Brain-Computer Interfaces #Gaze Tracking and Assistive Technology #Non-Invasive Vital Sign Monitoring
- Uncovering the structure of clinical EEG signals with self-supervised\n learning
2020/07/31 by Hubert Banville, Banville, Hubert, Omar Chehab +7 · 17 citations
Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM) #Signal Processing (eess.SP) #electronic engineering #information engineering
- The past, present, and future of the brain imaging data structure (BIDS)
2023/09/11 by Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +132 · 2 voices · 10 citations
Neuroscience · Environmental Science · Computer Science · #Functional Brain Connectivity Studies #Health, Environment, Cognitive Aging #Machine Learning in Healthcare
- Long-range and hierarchical language predictions in brains and algorithms
2021/11/28 by Charlotte Caucheteux, Alexandre Gramfort, Caucheteux, Charlotte +4 · 1 voice · 1 citation
Neuroscience · Computer Science · Engineering · #Neurobiology of Language and Bilingualism #Topic Modeling #Ferroelectric and Negative Capacitance Devices
- LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
2021/11/04 by Kenan Šehić, Alexandre Gramfort, Šehić, Kenan +5 · 6 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Statistical Methods and Inference
- Mind the duality gap: safer rules for the Lasso
2015/05/13 by Olivier Fercoq, Fercoq, Olivier, Alexandre Gramfort +3 · 7 citations
Mathematics · Engineering · #Statistical Methods and Inference #Sparse and Compressive Sensing Techniques #Markov Chains and Monte Carlo Methods
- emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
2024/10/26 by V. Sivakumar, Jeffrey Seely, Sivakumar, Viswanath +13 · 13 citations
Engineering · Neuroscience · #Advanced Sensor and Energy Harvesting Materials #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #H.1.2 #H.5.2 #Human-Computer Interaction (cs.HC) #I.2.1 #I.2.7 #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Tactile and Sensory Interactions #electronic engineering #information engineering
- Brain covariance selection: better individual functional connectivity models using population prior
2010/08/30 by Gaël Varoquaux, Alexandre Gramfort, Varoquaux, Gaël +5 · 3 citations
Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (stat.ML) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- Celer: a Fast Solver for the Lasso with Dual Extrapolation
2018/02/21 by Mathurin Massias, Alexandre Gramfort, Massias, Mathurin +3 · 4 citations
Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
- Fast Optimal Transport Averaging of Neuroimaging Data
2015/03/30 by Alexandre Gramfort, Gabriel Peyré, Gramfort, Alexandre +3 · 3 citations
Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Point processes and geometric inequalities #Topological and Geometric Data Analysis
- Benchopt: Reproducible, efficient and collaborative optimization benchmarks
2022/06/27 by Thomas Moreau, Moreau, Thomas, Mathurin Massias +39 · 5 citations
Computer Science · Materials Science · #Advanced Neural Network Applications #Machine Learning in Materials Science #Stochastic Gradient Optimization Techniques
- Self-supervised representation learning from electroencephalography\n signals
2019/11/13 by Hubert Banville, Isabela Albuquerque, Banville, Hubert +9 · 3 citations
Computer Science · Engineering · Neuroscience · #Advanced Chemical Sensor Technologies #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Time Series Analysis and Forecasting #electronic engineering #information engineering
- 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
2022/02/14 by Xiaoxi Wei, A. Aldo Faisal, Wei, Xiaoxi +39 · 4 citations
Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Neonatal and fetal brain pathology #Signal Processing (eess.SP) #electronic engineering #information engineering
- HNPE: Leveraging Global Parameters for Neural Posterior Estimation
2021/02/12 by Pedro Luiz Coelho Rodrigues, Thomas Moreau, Rodrigues, Pedro L. C. +5 · 3 citations
Computer Science · Neuroscience · #Blind Source Separation Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Quantitative Methods (q-bio.QM)
- Geodesic Optimization for Predictive Shift Adaptation on EEG data
2024/07/04 by Apolline Mellot, Mellot, Apolline, Antoine Collas +7 · 2 voices · 3 citations
Neuroscience · #Functional Brain Connectivity Studies #cs.LG #eess.SP #stat.ML
- Implicit differentiation of Lasso-type models for hyperparameter optimization
2020/02/20 by Quentin Bertrand, Quentin Klopfenstein, Bertrand, Quentin +9 · 2 citations
Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reservoir Engineering and Simulation Methods #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
- Debiased Sinkhorn barycenters
2020/06/03 by Hicham Janati, Janati, Hicham, Marco Cuturi +3 · 3 citations
Mathematics · Medicine · #Geometric Analysis and Curvature Flows #Advanced Neuroimaging Techniques and Applications
- L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
2023/06/06 by Julia Linhart, Linhart, Julia, Alexandre Gramfort +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Biological sciences #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Neurons and Cognition (q-bio.NC)
- Diffusion posterior sampling for simulation-based inference in tall data settings
2024/04/11 by Julia Linhart, Gabriel Victorino Cardoso, Linhart, Julia +7 · 4 citations
Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Model Reduction and Neural Networks
- Cycling on the Freeway: The perilous state of open-source neuroscience software
2025/01/01 by Britta U. Westner, Daniel McCloy, Eric B. Larson +9 · 1 voice · 3 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Cell Image Analysis Techniques #Functional Brain Connectivity Studies #Machine Learning in Materials Science
- Wasserstein regularization for sparse multi-task regression
2018/05/20 by Hicham Janati, Marco Cuturi, Janati, Hicham +3 · 1 citation
Engineering · Medicine · #Advanced MRI Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
- Cycling on the Freeway: The Perilous State of Open Source Neuroscience Software
2024/03/28 by Britta U. Westner, Daniel R. McCloy, Westner, Britta U. +13 · 2 voices · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · #Biomedical Text Mining and Ontologies #Explainable Artificial Intelligence (XAI) #Health, Environment, Cognitive Aging #cs.CY #q-bio.OT
- Robust learning from corrupted EEG with dynamic spatial filtering
2021/05/27 by Hubert Banville, Sean U. N. Wood, Banville, Hubert +7 · 1 citation
Neuroscience · Computer Science · #EEG and Brain-Computer Interfaces #Blind Source Separation Techniques #Neural dynamics and brain function
- Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
2018/05/24 by Tom Dupré la Tour, Thomas Moreau, La Tour, Tom Dupré +5 · 1 citation
Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Signal Processing (eess.SP) #electronic engineering #information engineering
- SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
2024/07/16 by Yanis Lalou, Lalou, Yanis, Théo Gnassounou +15 · 1 voice · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #cs.AI #cs.LG #stat.ME #stat.ML
- Validation Diagnostics for SBI algorithms based on Normalizing Flows
2022/11/17 by Julia Linhart, Linhart, Julia, Alexandre Gramfort +3 · 1 citation
Engineering · Materials Science · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
- MultiView Independent Component Analysis with Delays
2023/12/01 by Ambroise Heurtebise, Pierre Ablin, Heurtebise, Ambroise +3 · 1 citation
Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural dynamics and brain function #Signal Processing (eess.SP) #electronic engineering #information engineering
- PSDNorm: Test-Time Temporal Normalization for Deep Learning in Sleep Staging
2025/03/06 by Théo Gnassounou, Antoine Collas, Gnassounou, Théo +5 · 2 citations
Computer Science · Medicine · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Obstructive Sleep Apnea Research #Speech and Audio Processing
- EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
2025/06/23 by Bruno Aristimunha, Aristimunha, Bruno, Dung Truong +34 · 3 citations
Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- From safe screening rules to working sets for faster Lasso-type solvers
2017/03/21 by Mathurin Massias, Massias, Mathurin, Alexandre Gramfort +3 · 2 citations
Computer Science · Engineering · Mathematics · #Computation (stat.CO) #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
- Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
2024/07/19 by Théo Gnassounou, Antoine Collas, Gnassounou, Théo +7 · 1 citation
Computer Science · #Speech and Audio Processing
- Evaluating the structure of cognitive tasks with transfer learning
2023/07/28 by Bruno Aristimunha, Raphael De Camargo, Aristimunha, Bruno +9 · 1 citation
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.6 #I.5.1 #I.6.3 #K.3.2 #Machine Learning (cs.LG) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Learning Regularization Structure for Biosignal Template Estimation
2026/07/25 by Yonathan Murin, Alexandre Gramfort
#eess.SP