Michael Eickenberg

According to our database1, Michael Eickenberg authored at least 31 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks.
CoRR, 2022

The CAMELS project: public data release.
CoRR, 2022

2021
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence.
CoRR, 2021

Parametric Scattering Networks.
CoRR, 2021

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning.
CoRR, 2021

Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Arrhythmia Classification of Reduced-Lead Electrocardiograms by Scattering-Recurrent Networks.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Kymatio: Scattering Transforms in Python.
J. Mach. Learn. Res., 2020

Decoupled Greedy Learning of CNNs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Arrhythmia Classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM Networks.
Proceedings of the Computing in Cardiology, 2020

2019
Greedy Layerwise Learning Can Scale To ImageNet.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Kymatio: Scattering Transforms in Python.
CoRR, 2018

Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties.
CoRR, 2018

2017
Seeing it all: Convolutional network layers map the function of the human visual system.
NeuroImage, 2017

Convolutional Network Layers Map the Function of the Human Visual Cortex.
ERCIM News, 2017

Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities.
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.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Formal Models of the Network Co-occurrence Underlying Mental Operations.
PLoS Comput. Biol., 2016

Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems.
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).
PhD thesis, 2015

Data-driven HRF estimation for encoding and decoding models.
NeuroImage, 2015

FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging.
CoRR, 2015

Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Machine learning for neuroimaging with scikit-learn.
Frontiers Neuroinformatics, 2014

2013
HRF Estimation Improves Sensitivity of fMRI Encoding and Decoding Models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures.
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.
Neural Comput., 2012

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012


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