Michael Eickenberg

65 papers A* 8Misc 1Journal 42Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Feature Visualization to Visual Circuits: Effect of Model Perturbation.
Trans. Mach. Learn. Res.
Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
2025 A* conf
PETRA: Parallel End-to-end Training with Reversible Architectures.
ICLR
Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2025 J jnl
Surfer 2: The Next Generation of Cross-Platform Computer Use Agents.
CoRR
Mathieu Andreux, Märt Bakler, Yanael Barbier, Hamza Benchekroun, Emilien Biré, Antoine Bonnet, Riaz Bordie, Nathan Bout, Matthias Brunel, Aleix Cambray, Pierre-Louis Cedoz, Antoine Chassang, Gautier Cloix, Ethan Connelly, Alexandra D. Constantinou, Ramzi De Coster, Hubert de La Jonquière, Aurélien Delfosse, Maxime Delpit, Alexis Deprez, Augustin Derupti, Mathieu Diaz, Shannon D'Souza, Julie Dujardin, Abai Edmund, Michael Eickenberg, Armand Fatalot, Wissem Felissi, Isaac Herring, Xavier Koegler, Erwan Le Jumeau de Kergaradec, Aurélien Lac, Maxime Langevin, Corentin Lauverjat, Antonio Loison, Avshalom Manevich, Axel Moyal, Axel Nguyen Kerbel, Marinela Parovic, Julien Revelle, Guillaume Richard, Mats L. Richter, Ronan Riochet, María Santos, Romain Savidan, Laurent Sifre, Maxime Theillard, Marc Thibault, Ivan Valentini, Tony Wu, Laura Yie, Kai Yuan, Jevgenij Zubovskij
2025 J jnl
Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights.
CoRR
Mathieu Andreux, Breno Baldas Skuk, Hamza Benchekroun, Emilien Biré, Antoine Bonnet, Riaz Bordie, Nathan Bout, Matthias Brunel, Pierre-Louis Cedoz, Antoine Chassang, Mickaël Chen, Alexandra D. Constantinou, Antoine d'Andigné, Hubert de La Jonquière, Aurélien Delfosse, Ludovic Denoyer, Alexis Deprez, Augustin Derupti, Michael Eickenberg, Mathïs Federico, Charles Kantor, Xavier Koegler, Yann Labbé, Matthew C. H. Lee, Erwan Le Jumeau de Kergaradec, Amir Mahla, Avshalom Manevich, Adrien Maret, Charles Masson, Rafaël Maurin, Arturo Mena, Philippe Modard, Axel Moyal, Axel Nguyen Kerbel, Julien Revelle, Mats L. Richter, María Santos, Laurent Sifre, Maxime Theillard, Marc Thibault, Louis Thiry, Léo Tronchon, Nicolas Usunier, Tony Wu
2024 A* conf
Adversarial Attacks on the Interpretation of Neuron Activation Maximization.
AAAI
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
2024 — conf
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation.
CoLLAs
Pedro Vianna, Muawiz Sajjad Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky
2024 J jnl
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation.
CoRR
Pedro Vianna, Muawiz Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky
2024 J jnl
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task.
CoRR
Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho
2024 J jnl
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation.
CoRR
Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
2024 A* conf
MoMo: Momentum Models for Adaptive Learning Rates.
ICML
Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower
2024 A* conf
Multiple Physics Pretraining for Spatiotemporal Surrogate Models.
NeurIPS
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
2024 J jnl
PETRA: Parallel End-to-end Training with Reversible Architectures.
CoRR
Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2024 J jnl
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures.
Trans. Mach. Learn. Res.
Bruno Régaldo-Saint Blancard, Michael Eickenberg
2023 J jnl
Adversarial Attacks on the Interpretation of Neuron Activation Maximization.
CoRR
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
2023 J jnl
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models.
CoRR
François Lanusse, Liam Holden Parker, Siavash Golkar, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Géraud Krawezik, Michael McCabe, Ruben Ohana, Mariel Pettee, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
2023 A* conf
Can Forward Gradient Match Backpropagation?
ICML
Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2023 J jnl
Can Forward Gradient Match Backpropagation?
CoRR
Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2023 J jnl
Learnable wavelet neural networks for cosmological inference.
CoRR
Christian Pedersen, Michael Eickenberg, Shirley Ho
2023 J jnl
Local Learning with Neuron Groups.
CoRR
Adeetya Patel, Michael Eickenberg, Eugene Belilovsky
2023 J jnl
MoMo: Momentum Models for Adaptive Learning Rates.
CoRR
Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower
2023 J jnl
Multiple Physics Pretraining for Physical Surrogate Models.
CoRR
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
2023 J jnl
Robust simulation-based inference in cosmology with Bayesian neural networks.
Mach. Learn. Sci. Technol.
Pablo Lemos, Miles D. Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho
2023 J jnl
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering.
CoRR
Pablo Lemos, Liam Holden Parker, ChangHoon Hahn, Shirley Ho, Michael Eickenberg, Jiamin Hou, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Bruno Régaldo-Saint Blancard, David N. Spergel
2023 J jnl
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures.
CoRR
Bruno Régaldo-Saint Blancard, Michael Eickenberg
2023 J jnl
xVal: A Continuous Number Encoding for Large Language Models.
CoRR
Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles D. Cranmer, Géraud Krawezik, François Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
2022 J jnl
Feature-space selection with banded ridge regression.
NeuroImage
Tom Dupré la Tour, Michael Eickenberg, Anwar Nunez-Elizalde, Jack L. Gallant
2022 A* conf
Parametric Scattering Networks.
CVPR
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
2022 J jnl
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks.
CoRR
Pablo Lemos, Miles D. Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho
2022 J jnl
The CAMELS project: public data release.
CoRR
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G. Mohammad, Sultan Hassan, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver H. E. Philcox, Benjamin D. Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze W. K. Wong, William R. Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P. Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N. Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin D. Wandelt, Rachel S. Somerville, Greg L. Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Mark Vogelsberger
2021 — conf
Arrhythmia Classification of Reduced-Lead Electrocardiograms by Scattering-Recurrent Networks.
CinC
Philip A. Warrick, Vincent Lostanlen, Michael Eickenberg, Masun Nabhan Homsi, Adrián Campoy Rodríguez, Joakim Andén
2021 J jnl
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning.
CoRR
Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon
2021 J jnl
Parametric Scattering Networks.
CoRR
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
2021 — conf
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging.
MSML
Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
2021 J jnl
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence.
CoRR
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola, Yin Li, Pablo Villanueva-Domingo, Benjamin D. Wandelt, David N. Spergel, Rachel S. Somerville, José Manuel Zorrilla Matilla, Faizan G. Mohammad, Sultan Hassan, Helen Shao, Digvijay Wadekar, Michael Eickenberg, Kaze W. K. Wong, Gabriella Contardo, Yongseok Jo, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Lucia A. Perez, Daisuke Nagai, Nicholas Battaglia, Mark Vogelsberger
2020 — conf
Arrhythmia Classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM Networks.
CinC
Philip A. Warrick, Vincent Lostanlen, Michael Eickenberg, Joakim Andén, Masun Nabhan Homsi
2020 A* conf
Decoupled Greedy Learning of CNNs.
ICML
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2020 J jnl
Kymatio: Scattering Transforms in Python.
J. Mach. Learn. Res.
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg
2020 J jnl
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging.
CoRR
Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
2019 J jnl
Decoupled Greedy Learning of CNNs.
CoRR
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2019 A* conf
Greedy Layerwise Learning Can Scale To ImageNet.
ICML
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2018 J jnl
Greedy Layerwise Learning Can Scale to ImageNet.
CoRR
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2018 J jnl
Kymatio: Scattering Transforms in Python.
CoRR
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg
2018 J jnl
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties.
CoRR
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry
2017 J jnl
Convolutional Network Layers Map the Function of the Human Visual Cortex.
ERCIM News
Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort
2017 — conf
Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging.
IPMI
Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion
2017 J jnl
Seeing it all: Convolutional network layers map the function of the human visual system.
NeuroImage
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion
2017 — conf
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities.
NIPS
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat
2016 J jnl
Formal Models of the Network Co-occurrence Underlying Mental Operations.
PLoS Comput. Biol.
Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, Bertrand Thirion
2016 Misc conf
Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems.
ICASSP
Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
2015 J jnl
Data-driven HRF estimation for encoding and decoding models.
NeuroImage
Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Bertrand Thirion, Alexandre Gramfort
2015 — —
Evaluating Computational Models of Vision with Functional Magnetic Resonance Imaging. (Évaluation de modèles computationnels de la vision humaine en imagerie par résonance magnétique fonctionnelle).
Michael Eickenberg
2015 J jnl
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging.
CoRR
Gaël Varoquaux, Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion
2015 — conf
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.
MICCAI (1)
Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux
2015 — conf
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease.
MICCAI (1)
Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux
2015 — conf
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data.
NIPS
Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux
2015 — conf
Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.
PRNI
Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
2014 J jnl
Data-driven HRF estimation for encoding and decoding models.
CoRR
Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Alexandre Gramfort, Bertrand Thirion
2014 J jnl
Machine Learning for Neuroimaging with Scikit-Learn.
CoRR
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
2014 J jnl
Machine learning for neuroimaging with scikit-learn.
Frontiers Neuroinformatics
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
2013 — conf
HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models.
PRNI
Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort
2013 J jnl
HRF estimation improves sensitivity of fMRI encoding and decoding models
CoRR
Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort
2013 — conf
Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures.
PRNI
Michael Eickenberg, Mehdi Senoussi, Fabian Pedregosa, Alexandre Gramfort, Bertrand Thirion
2013 J jnl
Second order scattering descriptors predict fMRI activity due to visual textures.
CoRR
Michael Eickenberg, Fabian Pedregosa, Senoussi Mehdi, Alexandre Gramfort, Bertrand Thirion
2012 J jnl
Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions.
Neural Comput.
Michael Eickenberg, Ryan J. Rowekamp, Minjoon Kouh, Tatyana O. Sharpee
2012 — conf
Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas.
PRNI
Michael Eickenberg, Alexandre Gramfort, Bertrand Thirion