Nikola Kovachki
6 papers · 2020–2025 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (13) π£ Hot Topic Early Bird
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Keyword Pioneer
Venues
Top co-authors
Research topics
Keywords
partial differential equation
(4)
fourier neural operator
(3)
operator learning
(2)
graph neural network
(2)
kernel approximation
(1)
function space
(1)
message passing
(1)
chaotic dynamics
(1)
surrogate model
(1)
computational fluid dynamics
(1)
scientific computing
(1)
neural operator
(1)
geometric learning
(1)
signed distance function
(1)
physics simulation
(1)
error bound
(1)
turbulent flow
(1)
multi-resolution analysis
(1)
invariant measure
(1)
dissipative system
(1)
Papers
Geometric Operator Learning with Optimal Transport
JMLR 2025
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
NeurIPS 2023
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs
JMLR 2023
Learning Chaotic Dynamics in Dissipative Systems
NeurIPS 2022
On Universal Approximation and Error Bounds for Fourier Neural Operators
JMLR 2021
Multipole Graph Neural Operator for Parametric Partial Differential Equations
NeurIPS 2020