Holger Rauhut

4 papers · 2020–2024 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (3) ECCV (1)

Top co-authors

Felix Krahmer (2) Frederik Hoppe (2) Claudio Mayrink Verdun (2) Matthieu Gilson (1) Leonardo Galli (1) Moritz Helias (1) Christian Keup (1) David Dahmen (1) Sebastian Endt (1) Sandra Nestler (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Artificial Intelligence (1) Deep Learning (1) Healthcare & Medicine (1) Mathematics & Optimization (1) Application Areas (1) Architectures (1) Clinical (1) Core AI (1) Core Methods (1) Optimization (1)

Keywords

uncertainty quantification (2) stochastic gradient descent (1) compressive sensing (1) temporal dynamics (1) deep learning (1) time series classification (1) high-dimensional learning (1) reservoir computing (1) network optimization (1) convergence rate (1) recurrent neural network (1) adam optimizer (1) confidence interval (1) feed-forward network (1) overparameterized model (1) line search (1) green's function (1) recurrent network (1) nonmonotone optimization (1) perturbative method (1)

Papers

Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images ECCV 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024 Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models NeurIPS 2023 Unfolding recurrence by Green’s functions for optimized reservoir computing NeurIPS 2020