Michael Unser
9 papers · 2012–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (13) π Cross-Pollinator (13) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π§¬
Topic Evolution
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Trend Setter
Conferences
JMLR (5)
ICML (2)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
neural network
(4)
activation function
(2)
relu activation
(2)
image denoising
(2)
parameter estimation
(1)
sparse representation
(1)
optimal transport
(1)
expectation maximization
(1)
representer theorem
(1)
approximate message passing
(1)
total variation
(1)
functional analysis
(1)
gaussian noise
(1)
state evolution
(1)
stochastic differential equation
(1)
shallow neural network
(1)
unbalanced optimal transport
(1)
relu network
(1)
infinite width limit
(1)
rectified linear unit
(1)
Papers
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
ICCV 2025
Random ReLU Neural Networks as Non-Gaussian Processes
JMLR 2025
DEALing with Image Reconstruction: Deep Attentive Least Squares
ICML 2025
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
JMLR 2024
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
JMLR 2024
Ridges, Neural Networks, and the Radon Transform
JMLR 2023
A Representer Theorem for Deep Neural Networks
JMLR 2019
Dictionary Learning Based on Sparse Distribution Tomography
ICML 2017
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
NIPS 2012