David Dahmen

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

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICML (1) NeurIPS (1)

Top co-authors

Moritz Helias (2) Christian Keup (1) Holger Rauhut (1) Zohar Ringel (1) Kirsten Fischer (1) Michael Krämer (1) Sandra Nestler (1) Matthieu Gilson (1) Javed Lindner (1)

Research topics

Deep Learning (2) Machine Learning (2) Architectures (2) Core Methods (2) Optimization & Theory (2) Artificial Intelligence (1) Core AI (1)

Keywords

feature learning (1) temporal dynamics (1) time series classification (1) maximum a posteriori (1) reservoir computing (1) network optimization (1) recurrent neural network (1) feed-forward network (1) bayesian prior (1) green's function (1) recurrent network (1) perturbative method (1) network kernel (1) finite-width effect (1) fluctuations (1)

Papers

Critical feature learning in deep neural networks ICML 2024 Unfolding recurrence by Green’s functions for optimized reservoir computing NeurIPS 2020