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Momentum Residual Neural Networks

Momentum Residual Neural Networks

15 February 2021
Michael E. Sander
Pierre Ablin
Mathieu Blondel
Gabriel Peyré
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Papers citing "Momentum Residual Neural Networks"

13 / 13 papers shown
Title
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Enqi Zhang
MQ
140
0
0
24 Apr 2025
Efficient, Accurate and Stable Gradients for Neural ODEs
Efficient, Accurate and Stable Gradients for Neural ODEs
Sam McCallum
James Foster
32
4
0
15 Oct 2024
Understanding the training of infinitely deep and wide ResNets with
  Conditional Optimal Transport
Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport
Raphael Barboni
Gabriel Peyré
Franccois-Xavier Vialard
32
3
0
19 Mar 2024
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
52
12
0
28 Oct 2023
PaReprop: Fast Parallelized Reversible Backpropagation
PaReprop: Fast Parallelized Reversible Backpropagation
Tyler Lixuan Zhu
K. Mangalam
17
1
0
15 Jun 2023
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
Vitaliy Chiley
Vithursan Thangarasa
Abhay Gupta
Anshul Samar
Joel Hestness
D. DeCoste
37
8
0
28 Jun 2022
Do Residual Neural Networks discretize Neural Ordinary Differential
  Equations?
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Michael E. Sander
Pierre Ablin
Gabriel Peyré
27
25
0
29 May 2022
Momentum Capsule Networks
Momentum Capsule Networks
Josef Gugglberger
David Peer
A. Rodríguez-Sánchez
3DPC
13
1
0
26 Jan 2022
Sinkformers: Transformers with Doubly Stochastic Attention
Sinkformers: Transformers with Doubly Stochastic Attention
Michael E. Sander
Pierre Ablin
Mathieu Blondel
Gabriel Peyré
27
76
0
22 Oct 2021
SHINE: SHaring the INverse Estimate from the forward pass for bi-level
  optimization and implicit models
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Zaccharie Ramzi
Florian Mannel
Shaojie Bai
Jean-Luc Starck
P. Ciuciu
Thomas Moreau
29
28
0
01 Jun 2021
Efficient and Accurate Gradients for Neural SDEs
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger
James Foster
Xuechen Li
Terry Lyons
DiffM
22
60
0
27 May 2021
Fixing the train-test resolution discrepancy: FixEfficientNet
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
AAML
189
110
0
18 Mar 2020
Convolutional Neural Networks combined with Runge-Kutta Methods
Convolutional Neural Networks combined with Runge-Kutta Methods
Mai Zhu
Bo Chang
Chong Fu
AI4CE
33
52
0
24 Feb 2018
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