Burigede Liu

5 papers · 2020–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

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

Top co-authors

Anima Anandkumar (5) Zongyi Li (5) Andrew Stuart (4) Kaushik Bhattacharya (4) Kamyar Azizzadenesheli (4) Nikola Kovachki (3) Nikola Borislavov Kovachki (1) Miguel Liu-Schiaffini (1) Daniel Zhengyu Huang (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (4) Core Methods (3) Optimization & Theory (3) Mathematics & Optimization (2) Artificial Intelligence (1) Computer Vision (1) Interdisciplinary (1) Analysis (1) Core AI (1) Mathematics (1) Optimization (1) Science (1)

Keywords

partial differential equation (4) fourier neural operator (2) function space (1) message passing (1) fourier transform (1) chaotic dynamics (1) surrogate model (1) fast fourier transform (1) scientific computing (1) neural operator (1) geometric learning (1) physics simulation (1) turbulent flow (1) multi-resolution analysis (1) mesh processing (1) invariant measure (1) graph neural network (1) neural network (1) dissipative system (1) solution operator (1)

Papers

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries JMLR 2023 Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023 Learning Chaotic Dynamics in Dissipative Systems NeurIPS 2022 Fourier Neural Operator for Parametric Partial Differential Equations ICLR 2021 Multipole Graph Neural Operator for Parametric Partial Differential Equations NeurIPS 2020