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Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Christian Holberg
C. Salvi
ArXivPDFHTML

Papers citing "Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals"

6 / 6 papers shown
Title
Lecture notes on rough paths and applications to machine learning
Lecture notes on rough paths and applications to machine learning
Thomas Cass
C. Salvi
23
7
0
09 Apr 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
134
11
0
28 Feb 2024
Non-adversarial training of Neural SDEs with signature kernel scores
Non-adversarial training of Neural SDEs with signature kernel scores
Zacharia Issa
Blanka Horvath
M. Lemercier
C. Salvi
AI4TS
76
25
0
25 May 2023
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks
Timo C. Wunderlich
Christian Pehle
55
119
0
17 Sep 2020
Neural Rough Differential Equations for Long Time Series
Neural Rough Differential Equations for Long Time Series
James Morrill
C. Salvi
Patrick Kidger
James Foster
Terry Lyons
AI4TS
64
128
0
17 Sep 2020
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
276
5,024
0
19 Jun 2018

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