Adrian Nachman

Adrian Nachman

University of Toronto

H-index: 30

North America-Canada

About Adrian Nachman

Adrian Nachman, With an exceptional h-index of 30 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Inverse Problems, Partial Differential Equations, Image Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Optimal Transport Analogue of the Rudin–Osher–Fatemi Model and Its Corresponding Multiscale Theory

A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications

Wasserstein gans with gradient penalty compute congested transport

Trust the Critics: Generatorless and multipurpose WGANs with initial convergence guarantees

Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks

Determining a Riemannian metric from minimal areas

A nonlinear Plancherel theorem with applications to global well-posedness for the defocusing Davey–Stewartson equation and to the inverse boundary value problem of Calderón

Adrian Nachman Information

University

Position

Professor

Citations(all)

4662

Citations(since 2020)

1157

Cited By

4023

hIndex(all)

30

hIndex(since 2020)

17

i10Index(all)

46

i10Index(since 2020)

31

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Adrian Nachman Skills & Research Interests

Inverse Problems

Partial Differential Equations

Image Analysis

Top articles of Adrian Nachman

Title

Journal

Author(s)

Publication Date

An Optimal Transport Analogue of the Rudin–Osher–Fatemi Model and Its Corresponding Multiscale Theory

SIAM Journal on Mathematical Analysis

Tristan Milne

Adrian Nachman

2024/2/29

A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications

arXiv preprint arXiv:2211.00820

Tristan Milne

Étienne Bilocq

Adrian Nachman

2022/11/2

Wasserstein gans with gradient penalty compute congested transport

Tristan Milne

Adrian I Nachman

2022/6/28

Trust the Critics: Generatorless and multipurpose WGANs with initial convergence guarantees

arXiv preprint arXiv:2111.15099

Tristan Milne

Étienne Bilocq

Adrian Nachman

2021/11/30

Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks

Journal of Neural Engineering

Ryan GL Koh

Michael Balas

Adrian I Nachman

José Zariffa

2020/1/31

Determining a Riemannian metric from minimal areas

Advances in Mathematics

Spyros Alexakis

Tracey Balehowsky

Adrian Nachman

2020/6/3

A nonlinear Plancherel theorem with applications to global well-posedness for the defocusing Davey–Stewartson equation and to the inverse boundary value problem of Calderón

Inventiones mathematicae

Adrian Nachman

Idan Regev

Daniel Tataru

2020/5

See List of Professors in Adrian Nachman University(University of Toronto)