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Deep calibration of rough stochastic volatility models

Deep calibration of rough stochastic volatility models

8 October 2018
Christian Bayer
Benjamin Stemper
ArXivPDFHTML

Papers citing "Deep calibration of rough stochastic volatility models"

5 / 5 papers shown
Title
Deep Calibration With Artificial Neural Network: A Performance
  Comparison on Option Pricing Models
Deep Calibration With Artificial Neural Network: A Performance Comparison on Option Pricing Models
Y. S. Kim
H. Kim
Jaehyung Choi
20
2
0
15 Mar 2023
Pricing options on flow forwards by neural networks in Hilbert space
Pricing options on flow forwards by neural networks in Hilbert space
F. Benth
Nils Detering
Luca Galimberti
32
7
0
17 Feb 2022
Robust pricing and hedging via neural SDEs
Robust pricing and hedging via neural SDEs
Patryk Gierjatowicz
Marc Sabate Vidales
David Siska
Lukasz Szpruch
Zan Zuric
27
34
0
08 Jul 2020
Weak error analysis for stochastic gradient descent optimization
  algorithms
Weak error analysis for stochastic gradient descent optimization algorithms
A. Bercher
Lukas Gonon
Arnulf Jentzen
Diyora Salimova
36
4
0
03 Jul 2020
Unbiased deep solvers for linear parametric PDEs
Unbiased deep solvers for linear parametric PDEs
Marc Sabate Vidales
David Siska
Lukasz Szpruch
OOD
32
7
0
11 Oct 2018
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