Samuel Lanthaler

5 papers · 2021–2023 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

JMLR (2) NeurIPS (2) ICLR (1)

Top co-authors

Siddhartha Mishra (3) Roberto Molinaro (1) Nicholas H. Nelsen (1) Patrik Hadorn (1) Nikola Kovachki (1) T. Konstantin Rusch (1)

Research topics

Machine Learning (5) Deep Learning (4) Optimization & Theory · Machine Learning (4) Mathematics & Optimization (3) Architectures (3) Core Methods (2) Mathematics (2) Optimization (2) Optimization & Theory · Deep Learning (2)

Keywords

operator learning (3) partial differential equation (2) universal approximation (2) error bound (2) fourier neural operator (2) curse of dimensionality (1) continuous operators (1) minimax optimal (1) random feature (1) approximation theory (1) coupled oscillator (1) neural operator (1) approximation bound (1) neural network (1) neural oscillator (1) harmonic oscillator (1) sequence modeling (1) nonlinear reconstruction (1) principal component analysis (1) graph representation learning (1)

Papers

Error Bounds for Learning with Vector-Valued Random Features NeurIPS 2023 Neural Oscillators are Universal NeurIPS 2023 Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities ICLR 2023 Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021