Felix Krahmer

5 papers · 2024–2026 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

AAAI (1) COLT (1) ECCV (1) ICML (1) NeurIPS (1)

Top co-authors

Claudio Mayrink Verdun (3) Holger Rauhut (2) Frederik Hoppe (2) Peter Jung (1) Feng Ji (1) Mark Iwen (1) Sebastian Endt (1) Lan Tian (1) Santhosh Karnik (1) Marion Irene Menzel (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Application Areas (2) Artificial Intelligence (1) Deep Learning (1) Healthcare & Medicine (1) Mathematics & Optimization (1) Clinical (1) Core AI (1) Core Methods (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

uncertainty quantification (2) multi-task learning (1) conformal prediction (1) compressive sensing (1) deep learning (1) sparse regression (1) gradient descent (1) high-dimensional learning (1) distributionally robust optimization (1) implicit regularization (1) confidence interval (1) global linear convergence (1) statistical guarantee (1) random initialization (1) graph network (1) low tubal rank (1) iteratively reweighted least square (1) pivotal estimator (1) square-root lasso (1) total variation minimization (1)

Papers

Conformal Prediction for Multi-Source Detection on a Network AAAI 2026 Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent ICML 2025 Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024 Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images ECCV 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024