Matti Lassas

7 papers · 2018–2025 · 5 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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🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze

❓ The Questioner 🔥 Unstoppable · Bronze

Venues

NeurIPS (3) COLT (1) ICLR (1) ICML (1) JMLR (1)

Top co-authors

Michael Puthawala (4) Maarten V. de Hoop (3) Ivan Dokmanić (2) Takashi Furuya (2) Maarten de Hoop (2) Ernesto De Vito (1) Giovanni S Alberti (1) Matteo Santacesaria (1) Yaroslav Kurylev (1) Sergei Ivanov (1)

Research topics

Machine Learning (5) Deep Learning (4) Core Methods (4) Optimization & Theory · Machine Learning (4) Mathematics & Optimization (3) Architectures (3) Learning Types (2) Mathematics (2) Models (2) Techniques (2) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

neural network (3) manifold learning (2) inverse problem (2) neural operator (2) generative model (2) probability density (1) mean squared error (1) gaussian noise (1) probability density estimation (1) generalization bound (1) operator learning (1) flow-based model (1) numerical solver (1) relu network (1) homotopy continuation (1) semi-algebraic function (1) tikhonov regularization (1) linear operator (1) universal approximator (1) invertible neural network (1)

Papers

Semialgebraic Neural Networks: From roots to representations ICLR 2025 Can neural operators always be continuously discretized? NeurIPS 2024 Globally injective and bijective neural operators NeurIPS 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 NeurIPS 2021 Fitting a Putative Manifold to Noisy Data COLT 2018