Michael Unser
9 papers · 2012–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (18)
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Research topics
Deep Learning
(8)
Machine Learning
(7)
Optimization & Theory · Machine Learning
(7)
Architectures
(6)
Computer Vision
(2)
Optimization & Theory · Deep Learning
(2)
Processing
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types
(1)
Models
(1)
Optimization
(1)
Techniques
(1)
Keywords
neural network
(4)
image denoising
(2)
relu activation
(2)
activation function
(2)
sparse representation
(1)
optimal transport
(1)
compressed sensing
(1)
shallow neural network
(1)
parameter estimation
(1)
representer theorem
(1)
approximate message passing
(1)
total variation
(1)
functional analysis
(1)
gaussian noise
(1)
stochastic differential equation
(1)
expectation maximization
(1)
state evolution
(1)
attention mechanism
(1)
sparse learning
(1)
neural network architecture
(1)
Papers
DEALing with Image Reconstruction: Deep Attentive Least Squares
ICML 2025
Random ReLU Neural Networks as Non-Gaussian Processes
JMLR 2025
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
ICCV 2025
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
JMLR 2024
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
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
NeurIPS 2012