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Approximating Real-Time Recurrent Learning with Random Kronecker Factors

Approximating Real-Time Recurrent Learning with Random Kronecker Factors

28 May 2018
Asier Mujika
Florian Meier
Angelika Steger
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Papers citing "Approximating Real-Time Recurrent Learning with Random Kronecker Factors"

13 / 13 papers shown
Title
Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
Samuel Chun-Hei Lam
Justin A. Sirignano
K. Spiliopoulos
58
0
0
14 Jan 2025
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Joao Bravo
Jacopo Bono
Pedro Saleiro
Hugo Ferreira
P. Bizarro
42
0
0
31 Dec 2024
Real-Time Recurrent Reinforcement Learning
Real-Time Recurrent Reinforcement Learning
Julian Lemmel
Radu Grosu
34
2
0
08 Nov 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution
  Strategies
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
Oscar Li
James Harrison
Jascha Narain Sohl-Dickstein
Virginia Smith
Luke Metz
54
5
0
21 Apr 2023
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
45
60
0
09 Oct 2022
Amortized Proximal Optimization
Amortized Proximal Optimization
Juhan Bae
Paul Vicol
Jeff Z. HaoChen
Roger C. Grosse
ODL
27
14
0
28 Feb 2022
Gradient Descent on Neurons and its Link to Approximate Second-Order
  Optimization
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization
Frederik Benzing
ODL
43
23
0
28 Jan 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with
  Persistent Evolution Strategies
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol
Luke Metz
Jascha Narain Sohl-Dickstein
27
67
0
27 Dec 2021
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
38
87
0
22 Oct 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent
  Neural Networks
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
O. Marschall
Kyunghyun Cho
Cristina Savin
FedML
33
72
0
05 Jul 2019
Adaptively Truncating Backpropagation Through Time to Control Gradient
  Bias
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
Christopher Aicher
N. Foti
E. Fox
MQ
24
32
0
17 May 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing
M. Gauy
Asier Mujika
A. Martinsson
Angelika Steger
23
22
0
11 Feb 2019
Continual Learning of Recurrent Neural Networks by Locally Aligning
  Distributed Representations
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Alexander Ororbia
A. Mali
C. Lee Giles
Daniel Kifer
19
63
0
17 Oct 2018
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