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NAIS-Net: Stable Deep Networks from Non-Autonomous Differential
  Equations

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations

19 April 2018
Marco Ciccone
Marco Gallieri
Jonathan Masci
Christian Osendorfer
Faustino J. Gomez
ArXivPDFHTML

Papers citing "NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations"

12 / 12 papers shown
Title
Neural Differential Equations for Learning to Program Neural Nets
  Through Continuous Learning Rules
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Kazuki Irie
Francesco Faccio
Jürgen Schmidhuber
AI4TS
33
11
0
03 Jun 2022
End-to-end Algorithm Synthesis with Recurrent Networks: Logical
  Extrapolation Without Overthinking
End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
Arpit Bansal
Avi Schwarzschild
Eitan Borgnia
Z. Emam
Furong Huang
Micah Goldblum
Tom Goldstein
LRM
9
24
0
11 Feb 2022
On the Stochastic Stability of Deep Markov Models
On the Stochastic Stability of Deep Markov Models
Ján Drgoňa
Sayak Mukherjee
Jiaxin Zhang
Frank Liu
M. Halappanavar
BDL
17
5
0
08 Nov 2021
Dissipative Deep Neural Dynamical Systems
Dissipative Deep Neural Dynamical Systems
Ján Drgoňa
Soumya Vasisht
Aaron Tuor
D. Vrabie
19
6
0
26 Nov 2020
Neural Controlled Differential Equations for Irregular Time Series
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger
James Morrill
James Foster
Terry Lyons
AI4TS
25
448
0
18 May 2020
Shadowing Properties of Optimization Algorithms
Shadowing Properties of Optimization Algorithms
Antonio Orvieto
Aurélien Lucchi
24
18
0
12 Nov 2019
Towards Robust and Stable Deep Learning Algorithms for Forward Backward
  Stochastic Differential Equations
Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations
Batuhan Güler
Alexis Laignelet
P. Parpas
OOD
21
16
0
25 Oct 2019
IMEXnet: A Forward Stable Deep Neural Network
IMEXnet: A Forward Stable Deep Neural Network
E. Haber
Keegan Lensink
Eran Treister
Lars Ruthotto
33
40
0
06 Mar 2019
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
D. Duvenaud
J. Jacobsen
UQCV
TPM
20
617
0
02 Nov 2018
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term
  Memory (LSTM) Network
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
A. Sherstinsky
13
3,592
0
09 Aug 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
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