Matti Lassas
7 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (7) π Interdisciplinary Bridge
π
Cross-Pollinator
(14)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
NIPS (3)
COLT (1)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
manifold learning
(2)
neural operator
(2)
inverse problem
(2)
generative model
(2)
neural network
(2)
mean squared error
(1)
gaussian noise
(1)
probability density estimation
(1)
generalization bound
(1)
operator learning
(1)
flow-based model
(1)
relu network
(1)
tikhonov regularization
(1)
linear operator
(1)
universal approximator
(1)
invertible neural network
(1)
category theory
(1)
hausdorff distance
(1)
injective mapping
(1)
injective flow
(1)
Papers
Semialgebraic Neural Networks: From roots to representations
ICLR 2025
Can neural operators always be continuously discretized?
NIPS 2024
Globally injective and bijective neural operators
NIPS 2023
Globally Injective ReLU Networks
JMLR 2022
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
ICML 2022
Learning the optimal Tikhonov regularizer for inverse problems
NIPS 2021
Fitting a Putative Manifold to Noisy Data
COLT 2018