Lassas, Matti

8 publications

TMLR 2025 An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin

ICLR 2025 Semialgebraic Neural Networks: From Roots to Representations S David Mis, Matti Lassas, Maarten V. de Hoop

NeurIPS 2024 Can Neural Operators Always Be Continuously Discretized? Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas

NeurIPS 2023 Globally Injective and Bijective Neural Operators Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop

JMLR 2022 Globally Injective ReLU Networks Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanić, Maarten de Hoop

ICML 2022 Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten De Hoop

NeurIPS 2021 Learning the Optimal Tikhonov Regularizer for Inverse Problems Giovanni S Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria

COLT 2018 Fitting a Putative Manifold to Noisy Data Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan