Maarten V. de Hoop
8 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Academic Marathon (6)
π
Cross-Pollinator
(12)
β
The Questioner
Conferences
ICLR (4)
NIPS (3)
ICML (1)
Top co-authors
Keywords
neural operator
(2)
bayesian inference
(1)
source separation
(1)
posterior sampling
(1)
inverse problem
(1)
operator learning
(1)
score-based diffusion model
(1)
score-based diffusion
(1)
interpretable representation
(1)
universal approximator
(1)
limited datum
(1)
wavelet scattering
(1)
glitch removal
(1)
category theory
(1)
injective mapping
(1)
conditional denoising
(1)
infinite dimension
(1)
fredholm theory
(1)
surjective mapping
(1)
discretization invariance
(1)
Papers
Semialgebraic Neural Networks: From roots to representations
ICLR 2025
Transformers are Universal In-context Learners
ICLR 2025
Implicit Neural Representations and the Algebra of Complex Wavelets
ICLR 2024
Can neural operators always be continuously discretized?
NIPS 2024
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
ICML 2023
Globally injective and bijective neural operators
NIPS 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions
NIPS 2023
Random mesh projectors for inverse problems
ICLR 2019