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Non-adversarial training of Neural SDEs with signature kernel scores

Non-adversarial training of Neural SDEs with signature kernel scores

25 May 2023
Zacharia Issa
Blanka Horvath
M. Lemercier
C. Salvi
    AI4TS
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Papers citing "Non-adversarial training of Neural SDEs with signature kernel scores"

13 / 13 papers shown
Title
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
33
0
0
02 Apr 2025
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization
Nicola Muca Cirone
C. Salvi
44
1
0
01 Apr 2025
Universal approximation property of neural stochastic differential equations
Universal approximation property of neural stochastic differential equations
Anna P. Kwossek
David J. Prömel
Josef Teichmann
37
0
0
20 Mar 2025
Time-Causal VAE: Robust Financial Time Series Generator
Time-Causal VAE: Robust Financial Time Series Generator
Beatrice Acciaio
Stephan Eckstein
Songyan Hou
AI4TS
30
2
0
05 Nov 2024
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
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang
Josh Viktorov
Doosan Jung
Emily Pitler
DiffM
41
0
0
04 Oct 2024
Neural stochastic Volterra equations: learning path-dependent dynamics
Neural stochastic Volterra equations: learning path-dependent dynamics
David J. Prömel
David Scheffels
29
0
0
28 Jul 2024
Universal randomised signatures for generative time series modelling
Universal randomised signatures for generative time series modelling
Francesca Biagini
Lukas Gonon
Niklas Walter
40
4
0
14 Jun 2024
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
24
1
0
22 May 2024
A High Order Solver for Signature Kernels
A High Order Solver for Signature Kernels
M. Lemercier
Terry Lyons
21
3
0
01 Apr 2024
Theoretical Foundations of Deep Selective State-Space Models
Theoretical Foundations of Deep Selective State-Space Models
Nicola Muca Cirone
Antonio Orvieto
Benjamin Walker
C. Salvi
Terry Lyons
Mamba
45
25
0
29 Feb 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
29
8
0
28 Feb 2024
Non-parametric online market regime detection and regime clustering for
  multidimensional and path-dependent data structures
Non-parametric online market regime detection and regime clustering for multidimensional and path-dependent data structures
Zacharia Issa
Blanka Horvath
15
4
0
27 Jun 2023
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