ResearchTrend.AI
Robust-by-Design Classification via Unitary-Gradient Neural Networks

Robust-by-Design Classification via Unitary-Gradient Neural Networks

Fabio Brau
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
    AAML
ArXivPDFHTML

Papers citing "Robust-by-Design Classification via Unitary-Gradient Neural Networks"

3 / 3 papers shown
Title
1-Lipschitz Neural Networks are more expressive with N-Activations
1-Lipschitz Neural Networks are more expressive with N-Activations
Bernd Prach
Christoph H. Lampert
AAML
FAtt
19
0
0
10 Nov 2023
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla
Surbhi Singla
S. Feizi
AAML
30
52
0
05 Aug 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,138
0
16 Sep 2016