Michael Eickenberg

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 42

Top Venues

CoRR

NeuroImage

ICML

NIPS

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
PETRA: Parallel End-to-end Training with Reversible Architectures. CoRR (2024)
Bruno Régaldo-Saint Blancard, Michael Eickenberg
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures. Trans. Mach. Learn. Res. 2024 (2024)
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
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR (2024)
Pedro Vianna, Muawiz Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation. CoRR (2024)
Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation. CoRR (2024)
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
Adversarial Attacks on the Interpretation of Neuron Activation Maximization. AAAI (2024)
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
Multiple Physics Pretraining for Physical Surrogate Models. CoRR (2023)
Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower
MoMo: Momentum Models for Adaptive Learning Rates. CoRR (2023)
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
xVal: A Continuous Number Encoding for Large Language Models. CoRR (2023)
Bruno Régaldo-Saint Blancard, Michael Eickenberg
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures. CoRR (2023)
Christian Pedersen, Michael Eickenberg, Shirley Ho
Learnable wavelet neural networks for cosmological inference. CoRR (2023)
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
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR (2023)
Pablo Lemos, Miles D. Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho
Robust simulation-based inference in cosmology with Bayesian neural networks. Mach. Learn. Sci. Technol. 4 (1) (2023)
Adeetya Patel, Michael Eickenberg, Eugene Belilovsky
Local Learning with Neuron Groups. CoRR (2023)
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
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering. CoRR (2023)
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
Adversarial Attacks on the Interpretation of Neuron Activation Maximization. CoRR (2023)
Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Can Forward Gradient Match Backpropagation? CoRR (2023)
Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Can Forward Gradient Match Backpropagation? ICML (2023)
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
The CAMELS project: public data release. CoRR (2022)
Tom Dupré la Tour, Michael Eickenberg, Anwar Nunez-Elizalde, Jack L. Gallant
Feature-space selection with banded ridge regression. NeuroImage 264 (2022)
Pablo Lemos, Miles D. Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks. CoRR (2022)
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
Parametric Scattering Networks. CVPR (2022)
Philip A. Warrick, Vincent Lostanlen, Michael Eickenberg, Masun Nabhan Homsi, Adrián Campoy Rodríguez, Joakim Andén
Arrhythmia Classification of Reduced-Lead Electrocardiograms by Scattering-Recurrent Networks. CinC (2021)
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
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. CoRR (2021)
Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. MSML (2021)
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
Parametric Scattering Networks. CoRR (2021)
Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning. CoRR (2021)
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-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 21 (2020)
Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. CoRR (2020)
Philip A. Warrick, Vincent Lostanlen, Michael Eickenberg, Joakim Andén, Masun Nabhan Homsi
Arrhythmia Classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM Networks. CinC (2020)
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Decoupled Greedy Learning of CNNs. ICML (2020)
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Decoupled Greedy Learning of CNNs. CoRR (2019)
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Greedy Layerwise Learning Can Scale To ImageNet. ICML (2019)
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-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. CoRR (2018)
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR (2018)
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Greedy Layerwise Learning Can Scale to ImageNet. CoRR (2018)
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. NIPS (2017)
Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion
Seeing it all: Convolutional network layers map the function of the human visual system. NeuroImage 152 (2017)
Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion
Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging. IPMI (2017)
Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort
Convolutional Network Layers Map the Function of the Human Visual Cortex. ERCIM News 2017 (108) (2017)
Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems. ICASSP (2016)
Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, Bertrand Thirion
Formal Models of the Network Co-occurrence Underlying Mental Operations. PLoS Comput. Biol. 12 (6) (2016)
Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux
Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening. PRNI (2015)
Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease. MICCAI (1) (2015)
Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties. MICCAI (1) (2015)
Gaël Varoquaux, Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion
FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging. CoRR (2015)
Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Bertrand Thirion, Alexandre Gramfort
Data-driven HRF estimation for encoding and decoding models. NeuroImage 104 (2015)
Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. NIPS (2015)
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
Machine Learning for Neuroimaging with Scikit-Learn. CoRR (2014)
Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Alexandre Gramfort, Bertrand Thirion
Data-driven HRF estimation for encoding and decoding models. CoRR (2014)
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux
Machine learning for neuroimaging with scikit-learn. Frontiers Neuroinformatics 8 (2014)
Michael Eickenberg, Fabian Pedregosa, Senoussi Mehdi, Alexandre Gramfort, Bertrand Thirion
Second order scattering descriptors predict fMRI activity due to visual textures. CoRR (2013)
Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort
HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models. PRNI (2013)
Michael Eickenberg, Mehdi Senoussi, Fabian Pedregosa, Alexandre Gramfort, Bertrand Thirion
Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures. PRNI (2013)
Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort
HRF estimation improves sensitivity of fMRI encoding and decoding models CoRR (2013)
Michael Eickenberg, Alexandre Gramfort, Bertrand Thirion
Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas. PRNI (2012)
Michael Eickenberg, Ryan J. Rowekamp, Minjoon Kouh, Tatyana O. Sharpee
Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions. Neural Comput. 24 (9) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Eickenberg