Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. - Michael Puthawala; Matti Lassas; Ivan Dokmanic; Maarten V. de Hoop (ICML, 2022)

Deep Invertible Approximation of Topologically Rich Maps between Manifolds. - Michael Puthawala; Matti Lassas; Ivan Dokmanic; Pekka Pankka; Maarten V. de Hoop (CoRR, 2022)

Globally Injective ReLU Networks. - Michael Puthawala; Konik Kothari; Matti Lassas; Ivan Dokmanic; Maarten V. de Hoop (J. Mach. Learn. Res., 2022)

Globally injective and bijective neural operators. - Takashi Furuya; Michael Puthawala; Matti Lassas; Maarten V. de Hoop (NeurIPS, 2023)

Can neural operators always be continuously discretized? - Takashi Furuya; Michael Puthawala; Matti Lassas; Maarten V. de Hoop (NeurIPS, 2024)

(Deep) Generative Geodesics. - Beomsu Kim; Michael Puthawala; Jong Chul Ye; Emanuele Sansone (CoRR, 2024)

Deep Learning for Forensic Identification of Source. - Cole Patten; Christopher Saunders; Michael Puthawala (CoRR, 2025)