Michael Puthawala

According to our database, Michael Puthawala authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep Learning for Forensic Identification of Source.

Cole Patten, Christopher Saunders, Michael Puthawala

CoRR, March, 2025

2024

(Deep) Generative Geodesics.

Beomsu Kim, Michael Puthawala, Jong Chul Ye, Emanuele Sansone

CoRR, 2024

Can neural operators always be continuously discretized?

Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Globally injective and bijective neural operators.

Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Globally Injective ReLU Networks.

Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop

J. Mach. Learn. Res., 2022

Deep Invertible Approximation of Topologically Rich Maps between Manifolds.

Michael Puthawala, Matti Lassas, Ivan Dokmanic, Pekka Pankka, Maarten V. de Hoop

CoRR, 2022

Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows.

Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop

Proceedings of the International Conference on Machine Learning, 2022