Jeremias Sulam
17 papers · 2017–2025 · 9 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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The Questioner
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Unstoppable · Bronze
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dictionary learning
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adversarial robustness
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fairness violation
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sparse coding
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stochastic gradient descent
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causal inference
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conformal prediction
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convex optimization
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online learning
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sparse representation
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uncertainty quantification
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learning theory
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Papers
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography
MICCAI 2025
Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality
CVPR 2025
Multiaccuracy and Multicalibration via Proxy Groups
ICML 2025
Testing Semantic Importance via Betting
NeurIPS 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems
ICLR 2024
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
NeurIPS 2023
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors
NeurIPS 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
ICML 2023
Sparsity-aware generalization theory for deep neural networks
COLT 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
NeurIPS 2021
Adversarial Robustness of Supervised Sparse Coding
NeurIPS 2020
Conformal Symplectic and Relativistic Optimization
NeurIPS 2020
Learning to solve TV regularised problems with unrolled algorithms
NeurIPS 2020
A Local Block Coordinate Descent Algorithm for the CSC Model
CVPR 2019
Convolutional Dictionary Learning via Local Processing
ICCV 2017