Michael Eickenberg

According to our database, Michael Eickenberg authored at least 44 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation.

Pedro Vianna, Muawiz Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky

CoRR, 2024

Adversarial Attacks on the Interpretation of Neuron Activation Maximization.

Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust simulation-based inference in cosmology with Bayesian neural networks.

Pablo Lemos, Miles D. Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho

Mach. Learn. Sci. Technol., March, 2023

SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering.

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

CoRR, 2023

AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models.

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

CoRR, 2023

Multiple Physics Pretraining for Physical Surrogate Models.

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

CoRR, 2023

xVal: A Continuous Number Encoding for Large Language Models.

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

CoRR, 2023

Learnable wavelet neural networks for cosmological inference.

Christian Pedersen, Michael Eickenberg, Shirley Ho

CoRR, 2023

Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures.

Bruno Régaldo-Saint Blancard, Michael Eickenberg

CoRR, 2023

MoMo: Momentum Models for Adaptive Learning Rates.

Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower

CoRR, 2023

Local Learning with Neuron Groups.

Adeetya Patel, Michael Eickenberg, Eugene Belilovsky

CoRR, 2023

Can Forward Gradient Match Backpropagation?

Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon

Proceedings of the International Conference on Machine Learning, 2023

2022

Feature-space selection with banded ridge regression.

Tom Dupré la Tour, Michael Eickenberg, Anwar Nunez-Elizalde, Jack L. Gallant

NeuroImage, 2022

The CAMELS project: public data release.

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

CoRR, 2022

Parametric Scattering Networks.

Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence.

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

CoRR, 2021

Parametric Scattering Networks.

Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf

CoRR, 2021

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning.

Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon

CoRR, 2021

Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging.

Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Arrhythmia Classification of Reduced-Lead Electrocardiograms by Scattering-Recurrent Networks.

Philip A. Warrick, Vincent Lostanlen, Michael Eickenberg, Masun Nabhan Homsi, Adrián Campoy Rodríguez, Joakim Andén

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Kymatio: Scattering Transforms in Python.

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

J. Mach. Learn. Res., 2020

Decoupled Greedy Learning of CNNs.

Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon

Proceedings of the 37th International Conference on Machine Learning, 2020

Arrhythmia Classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM Networks.

Philip A. Warrick, Vincent Lostanlen, Michael Eickenberg, Joakim Andén, Masun Nabhan Homsi

Proceedings of the Computing in Cardiology, 2020

2019

Greedy Layerwise Learning Can Scale To ImageNet.

Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Kymatio: Scattering Transforms in Python.

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

CoRR, 2018

Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties.

Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry

CoRR, 2018

2017

Seeing it all: Convolutional network layers map the function of the human visual system.

Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion

NeuroImage, 2017

Convolutional Network Layers Map the Function of the Human Visual Cortex.

Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion, Alexandre Gramfort

ERCIM News, 2017

Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities.

Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging.

Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Formal Models of the Network Co-occurrence Underlying Mental Operations.

Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, Bertrand Thirion

PLoS Comput. Biol., 2016

Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems.

Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

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

PhD thesis, 2015

Data-driven HRF estimation for encoding and decoding models.

Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Bertrand Thirion, Alexandre Gramfort

NeuroImage, 2015

FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging.

Gaël Varoquaux, Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion

CoRR, 2015

Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.

Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data.

Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease.

Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.

Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Machine learning for neuroimaging with scikit-learn.

Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux

Frontiers Neuroinformatics, 2014

2013

HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models.

Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures.

Michael Eickenberg, Mehdi Senoussi, Fabian Pedregosa, Alexandre Gramfort, Bertrand Thirion

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012

Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions.

Michael Eickenberg, Ryan J. Rowekamp, Minjoon Kouh, Tatyana O. Sharpee

Neural Comput., 2012

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas.

Michael Eickenberg, Alexandre Gramfort, Bertrand Thirion

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012