| Unnormalized optimal transport W Gangbo, W Li, S Osher, M Puthawala Journal of Computational Physics 399, 108940, 2019 | 83 | 2019 |
| Globally injective relu networks M Puthawala, K Kothari, M Lassas, I Dokmanić, M De Hoop Journal of Machine Learning Research 23 (105), 1-55, 2022 | 43 | 2022 |
| Globally injective and bijective neural operators T Furuya, M Puthawala, M Lassas, MV De Hoop Advances in Neural Information Processing Systems 36, 57713-57753, 2023 | 20 | 2023 |
| Universal joint approximation of manifolds and densities by simple injective flows M Puthawala, M Lassas, I Dokmanic, M De Hoop International Conference on Machine Learning, 17959-17983, 2022 | 19 | 2022 |
| Diagnosing forward operator error using optimal transport MA Puthawala, CD Hauck, SJ Osher Journal of Scientific Computing 80 (3), 1549-1576, 2019 | 4 | 2019 |
| Can neural operators always be continuously discretized? T Furuya, M Puthawala, M Lassas, MV de Hoop Advances in Neural Information Processing Systems 37, 98936-98993, 2024 | 3 | 2024 |
| Deep Learning for Forensic Identification of Source C Patten, C Saunders, M Puthawala arXiv preprint arXiv:2503.20994, 2025 | 1 | 2025 |
| Deep invertible approximation of topologically rich maps between manifolds M Puthawala, M Lassas, I Dokmanic, P Pankka, M de Hoop arXiv preprint arXiv:2210.00577, 2022 | 1 | 2022 |
| (Deep) Generative Geodesics B Kim, M Puthawala, JC Ye, E Sansone arXiv preprint arXiv:2407.11244, 2024 | | 2024 |
| Session 9: The Embedding Gap, when are manifold close? M Puthawala | | 2024 |
| Session 4: An Overview of Deep Learning and Universality M Puthawala | | 2023 |
| The Structure of Inverse Problems and Unnormalized Optimal Transport MA Puthawala University of California, Los Angeles, 2019 | | 2019 |
Matti LassasProfessor of applied mathematics, University of Helsinki, FinlandVerified email at helsinki.fi
