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Kernels for sequentially ordered data

Kernels for sequentially ordered data

29 January 2016
Franz J. Király
Harald Oberhauser
ArXivPDFHTML

Papers citing "Kernels for sequentially ordered data"

19 / 19 papers shown
Title
Signature Isolation Forest
Signature Isolation Forest
Guillaume Staerman
M. Campi
Gareth W. Peters
Tomoko Matsui
53
0
0
07 Mar 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
44
8
0
28 Feb 2024
Kernelized Cumulants: Beyond Kernel Mean Embeddings
Kernelized Cumulants: Beyond Kernel Mean Embeddings
Patric Bonnier
Harald Oberhauser
Zoltan Szabo
28
5
0
29 Jan 2023
A kernel Stein test of goodness of fit for sequential models
A kernel Stein test of goodness of fit for sequential models
Jerome Baum
Heishiro Kanagawa
A. Gretton
24
9
0
19 Oct 2022
Chaotic Hedging with Iterated Integrals and Neural Networks
Chaotic Hedging with Iterated Integrals and Neural Networks
Ariel Neufeld
Philipp Schmocker
39
10
0
21 Sep 2022
Capturing Graphs with Hypo-Elliptic Diffusions
Capturing Graphs with Hypo-Elliptic Diffusions
Csaba Tóth
Darrick Lee
Celia Hacker
Harald Oberhauser
18
12
0
27 May 2022
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Florian Kalinke
Marco Heyden
Edouard Fouché
Klemens Bohm
Klemens Böhm
24
0
0
25 May 2022
2-d signature of images and texture classification
2-d signature of images and texture classification
Shenmin Zhang
Guang Lin
S. Tindel
35
4
0
10 May 2022
Signature and Log-signature for the Study of Empirical Distributions
  Generated with GANs
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
J. Curtò
I. D. Zarzà
Hong-Mei Yan
Carlos T. Calafate
23
1
0
07 Mar 2022
Amortised Likelihood-free Inference for Expensive Time-series Simulators
  with Signatured Ratio Estimation
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
Joel Dyer
Patrick W Cannon
Sebastian M. Schmon
28
9
0
23 Feb 2022
Feature Engineering with Regularity Structures
Feature Engineering with Regularity Structures
I. Chevyrev
A. Gerasimovičs
H. Weber
30
10
0
12 Aug 2021
Efficient and Accurate Gradients for Neural SDEs
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger
James Foster
Xuechen Li
Terry Lyons
DiffM
24
60
0
27 May 2021
Generalized iterated-sums signatures
Generalized iterated-sums signatures
J. Diehl
K. Ebrahimi-Fard
Nikolas Tapia
26
11
0
08 Dec 2020
Discrete-time signatures and randomness in reservoir computing
Discrete-time signatures and randomness in reservoir computing
Christa Cuchiero
Lukas Gonon
Lyudmila Grigoryeva
Juan-Pablo Ortega
Josef Teichmann
24
45
0
17 Sep 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
449
0
18 May 2020
Signatory: differentiable computations of the signature and logsignature
  transforms, on both CPU and GPU
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
Patrick Kidger
Terry Lyons
32
83
0
03 Jan 2020
Deep Signature Transforms
Deep Signature Transforms
Patrick Kidger
Patrick Kidger
Imanol Perez Arribas
C. Salvi
Terry Lyons
SLR
27
126
0
21 May 2019
Signature moments to characterize laws of stochastic processes
Signature moments to characterize laws of stochastic processes
I. Chevyrev
Harald Oberhauser
10
108
0
25 Oct 2018
Sketching the order of events
Sketching the order of events
Terry Lyons
Harald Oberhauser
19
5
0
31 Aug 2017
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