Volume 62, Issue 3

Search all Journal of Mathematical Imaging and Vision articles

April 2020

Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science

Issue Editors:

Joan Bruna,
Eldad Haber,
Gitta Kutyniok,
Thomas Pock,
René Vidal

15 articles in this issue

Appreciation to Journal of Mathematics Imaging and Vision Reviewers

News 14 March 2020 Pages: 273 - 276
Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science
Joan Bruna
Eldad Haber
René Vidal
EditorialNotes 25 March 2020 Pages: 277 - 278
The Global Optimization Geometry of Shallow Linear Neural Networks
Zhihui Zhu
Daniel Soudry
Michael B. Wakin
OriginalPaper 31 May 2019 Pages: 279 - 292
Processing Simple Geometric Attributes with Autoencoders
Alasdair Newson
Andrés Almansa
Saïd Ladjal
OriginalPaper 12 November 2019 Pages: 293 - 312
Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals
Yaniv Romano
Aviad Aberdam
Michael Elad
OriginalPaper 05 October 2019 Pages: 313 - 327
Forward Stability of ResNet and Its Variants
Linan Zhang
Hayden Schaeffer
OriginalPaper 01 November 2019 Pages: 328 - 351
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
Eldad Haber
OriginalPaper 18 September 2019 Pages: 352 - 364
Residual Networks as Flows of Diffeomorphisms
François Rousseau
Lucas Drumetz
Ronan Fablet
OriginalPaper 29 May 2019 Pages: 365 - 375
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems
A. Breger
J. I. Orlando
M. Ehler
OriginalPaper Open access 23 October 2019 Pages: 376 - 394
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems
A. Breger
J. I. Orlando
M. Ehler
Correction Open access 25 November 2019 Pages: 395 - 395
Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
Alexander Effland
Erich Kobler
Thomas Pock
OriginalPaper Open access 11 March 2020 Pages: 396 - 416
A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data
A. Chambolle
M. Holler
T. Pock
OriginalPaper Open access 18 November 2019 Pages: 417 - 444
Big in Japan: Regularizing Networks for Solving Inverse Problems
Johannes Schwab
Stephan Antholzer
Markus Haltmeier
OriginalPaper Open access 03 October 2019 Pages: 445 - 455
Regularization by Architecture: A Deep Prior Approach for Inverse Problems
Sören Dittmer
Tobias Kluth
Daniel Otero Baguer
OriginalPaper Open access 30 October 2019 Pages: 456 - 470
Networks for Nonlinear Diffusion Problems in Imaging
S. Arridge
A. Hauptmann
OriginalPaper Open access 13 September 2019 Pages: 471 - 487

Volume 62, Issue 3

Search

Navigation