Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2001.01258
Cited By
v1
v2
v3
v4 (latest)
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems
SIAM Review (SIAM Rev.), 2020
5 January 2020
N. Gottschling
Vegard Antun
A. Hansen
Ben Adcock
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems"
21 / 21 papers shown
Video Finetuning Improves Reasoning Between Frames
Ruiqi Yang
Tian Yun
Zihan Wang
Ellie Pavlick
LRM
171
0
0
17 Nov 2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study
J. Hertrich
Matthias Joachim Ehrhardt
Alexander Denker
Stanislas Ducotterd
Zhenghan Fang
...
German Shâma Wache
Martin Zach
Yasi Zhang
Matthias Joachim Ehrhardt
Sebastian Neumayer
234
10
0
02 Oct 2025
Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
Proceedings of the IEEE (Proc. IEEE), 2025
Le Zhang
Ao Li
Qibin Hou
Ce Zhu
Yonina C. Eldar
SupR
413
3
0
19 Sep 2025
Implicit Regularization of the Deep Inverse Prior Trained with Inertia
Nathan Buskulic
Jalal Fadil
Yvain Quéau
259
1
0
03 Jun 2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
312
2
0
14 May 2025
GRILL: Restoring Gradient Signal in Ill-Conditioned Layers for More Effective Adversarial Attacks on Autoencoders
Chethan Krishnamurthy Ramanaik
Arjun Roy
Tobias Callies
Eirini Ntoutsi
AAML
378
0
0
06 May 2025
Approximation properties of neural ODEs
Arturo De Marinis
Davide Murari
E. Celledoni
Nicola Guglielmi
B. Owren
Francesco Tudisco
302
3
0
19 Mar 2025
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
Neural Information Processing Systems (NeurIPS), 2024
Matthew Bendel
Rizwan Ahmad
P. Schniter
MedIm
DiffM
390
2
0
01 Nov 2024
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
Brandon Knutson
Amandin Chyba Rabeendran
Michael Ivanitskiy
Jordan Pettyjohn
Cecilia G. Diniz Behn
Samy Wu Fung
Daniel McKenzie
LRM
523
7
0
03 Oct 2024
Do stable neural networks exist for classification problems? -- A new view on stability in AI
Z. N. D. Liu
A. C. Hansen
283
4
0
15 Jan 2024
When can you trust feature selection? -- I: A condition-based analysis of LASSO and generalised hardness of approximation
Alexander Bastounis
Felipe Cucker
Anders C. Hansen
260
5
0
18 Dec 2023
The Perception-Robustness Tradeoff in Deterministic Image Restoration
International Conference on Machine Learning (ICML), 2023
Guy Ohayon
T. Michaeli
Michael Elad
AAML
449
9
0
14 Nov 2023
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems
Journal of Mathematical Imaging and Vision (JMIV), 2023
Nathan Buskulic
M. Fadili
Yvain Quéau
499
8
0
21 Sep 2023
Two Approaches to Supervised Image Segmentation
Alexandre Benatti
L. D. F. Costa
414
2
0
19 Jul 2023
Ambiguity in solving imaging inverse problems with deep learning based operators
Journal of Imaging (JI), 2023
David Evangelista
E. Morotti
E. L. Piccolomini
J. Nagy
237
12
0
31 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
IEEE journal of biomedical and health informatics (IEEE JBHI), 2023
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
Matthew S. Rosen
UQCV
OOD
450
2
0
12 May 2023
DRIP: Deep Regularizers for Inverse Problems
Inverse Problems (IP), 2023
Moshe Eliasof
E. Haber
Eran Treister
469
9
0
30 Mar 2023
Computability of Optimizers
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Yunseok Lee
Holger Boche
Gitta Kutyniok
279
20
0
15 Jan 2023
Residual Back Projection With Untrained Neural Networks
Neural Networks (NN), 2022
Ziyu Shu
A. Entezari
MedIm
260
1
0
26 Oct 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Holger Boche
Adalbert Fono
Gitta Kutyniok
385
30
0
28 Feb 2022
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
Alexander Bastounis
A. Hansen
Verner Vlacic
AAML
OOD
317
27
0
13 Sep 2021
1
Page 1 of 1
