Jeremias Sulam
17 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (9) π Academic Marathon (8) π Cross-Pollinator (13)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
ποΈ
Keyword Collector
(75)
π
Century Club
(17)
π₯
Unstoppable
(7)
β
The Questioner
Conferences
NIPS (7)
CVPR (2)
ICML (2)
AISTATS (1)
COLT (1)
ICCV (1)
ICLR (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
dictionary learning
(3)
adversarial robustness
(3)
generalization bound
(2)
sparse coding
(2)
sparse representation
(1)
false discovery rate
(1)
learning theory
(1)
convex optimization
(1)
feature learning
(1)
conformal prediction
(1)
image denoising
(1)
uncertainty quantification
(1)
image fusion
(1)
feature importance
(1)
high-dimensional statistics
(1)
online learning
(1)
signal processing
(1)
sparse principal component analysis
(1)
hypothesis testing
(1)
stochastic gradient descent
(1)
Papers
Multiaccuracy and Multicalibration via Proxy Groups
ICML 2025
Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality
CVPR 2025
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
MICCAI 2025
Testing Semantic Importance via Betting
NIPS 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems
ICLR 2024
Sparsity-aware generalization theory for deep neural networks
COLT 2023
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
NIPS 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
NIPS 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
ICML 2023
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
AISTATS 2022
Recovery and Generalization in Over-Realized Dictionary Learning
JMLR 2022
A Geometric Analysis of Neural Collapse with Unconstrained Features
NIPS 2021
Adversarial Robustness of Supervised Sparse Coding
NIPS 2020
Learning to solve TV regularised problems with unrolled algorithms
NIPS 2020
Conformal Symplectic and Relativistic Optimization
NIPS 2020
A Local Block Coordinate Descent Algorithm for the CSC Model
CVPR 2019
Convolutional Dictionary Learning via Local Processing
ICCV 2017