Tim De Ryck

3 papers · 2022–2024 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (2) ICLR (1)

Top co-authors

Siddhartha Mishra (3) Emmanuel de Bézenac (2) Tobias Rohner (1) Bogdan Raonic (1) Francesca Bartolucci (1) Rima Alaifari (1) Florent Bonnet (1) Roberto Molinaro (1)

Research topics

Deep Learning (3) Machine Learning (3) Mathematics & Optimization (2) Optimization & Theory · Machine Learning (2) Architectures (1) Learning Types (1) Mathematics (1) Models (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

partial differential equation (3) physics-informed neural network (2) operator learning (2) convolutional neural network (1) differential operator (1) approximation error bound (1) convolutional neural operator (1) function space learning (1) deep onet (1) gradient descent (1) operator preconditioning (1) curse of dimensionality (1) approximation error (1)

Papers

An operator preconditioning perspective on training in physics-informed machine learning ICLR 2024 Convolutional Neural Operators for robust and accurate learning of PDEs NeurIPS 2023 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022