Michael Eickenberg
11 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π Conference Polyglot (6) π Academic Marathon (10) π§ Keyword Pioneer
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
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Keyword Champion
(2)
β
The Questioner
π
Century Club
(11)
Conferences
ICML (4)
NIPS (3)
AAAI (1)
CVPR (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
wavelet scattering transform
(2)
convolutional neural network
(2)
neural network training
(2)
greedy learning
(2)
representation learning
(2)
neural network interpretation
(1)
gradient estimation
(1)
signal processing
(1)
gradient descent
(1)
surrogate model
(1)
model fine-tuning
(1)
feature visualization
(1)
end-to-end training
(1)
invariant representation
(1)
forward gradient
(1)
neuroimaging datum
(1)
model interpretation
(1)
directional derivative
(1)
filterbank learning
(1)
layerwise learning
(1)
Papers
PETRA: Parallel End-to-end Training with Reversible Architectures
ICLR 2025
MoMo: Momentum Models for Adaptive Learning Rates
ICML 2024
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
NIPS 2024
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
AAAI 2024
Can Forward Gradient Match Backpropagation?
ICML 2023
Parametric Scattering Networks
CVPR 2022
Kymatio: Scattering Transforms in Python
JMLR 2020
Decoupled Greedy Learning of CNNs
ICML 2020
Greedy Layerwise Learning Can Scale To ImageNet
ICML 2019
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
NIPS 2017
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
NIPS 2015