Ariel Neufeld

About Ariel Neufeld

Ariel Neufeld, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Machine Learning in Finance and Insurance, Model Uncertainty in Financial Markets, Stochastic Optimal Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Non-concave distributionally robust stochastic control in a discrete time finite horizon setting

Numerical method for nonlinear Kolmogorov PDEs via sensitivity analysis

Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems

Rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of gradient-dependent semilinear heat equations

Binary spatial random field reconstruction from non-Gaussian inhomogeneous time-series observations

Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function

A deep learning approach to data-driven model-free pricing and to martingale optimal transport

Low-rank plus sparse decomposition of covariance matrices using neural network parametrization

Ariel Neufeld Information

University

Position

Nanyang Assistant Professor in Mathematics

Citations(all)

950

Citations(since 2020)

804

Cited By

411

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Ariel Neufeld Skills & Research Interests

Machine Learning in Finance and Insurance

Model Uncertainty in Financial Markets

Stochastic Optimal Control

Top articles of Ariel Neufeld

Non-concave distributionally robust stochastic control in a discrete time finite horizon setting

arXiv preprint arXiv:2404.05230

2024/4/8

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Julian Sester
Julian Sester

H-Index: 3

Numerical method for nonlinear Kolmogorov PDEs via sensitivity analysis

arXiv preprint arXiv:2403.11910

2024/3/18

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems

arXiv preprint arXiv:2403.09532

2024/3/14

Rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of gradient-dependent semilinear heat equations

Analysis and Applications

2020/11/23

Binary spatial random field reconstruction from non-Gaussian inhomogeneous time-series observations

Journal of the Franklin Institute

2024/1/1

Shunan Sheng
Shunan Sheng

H-Index: 1

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function

IMA Journal of Numerical Analysis

2023/6/10

A deep learning approach to data-driven model-free pricing and to martingale optimal transport

IEEE Transactions on Information Theory

2023

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Julian Sester
Julian Sester

H-Index: 3

Low-rank plus sparse decomposition of covariance matrices using neural network parametrization

IEEE Transactions on Neural Networks and Learning Systems

2023

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Universal Approximation Property of Random Neural Networks

arXiv preprint arXiv:2312.08410

2023/12/13

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Philipp Schmocker
Philipp Schmocker

H-Index: 1

Multilevel Picard approximations overcome the curse of dimensionality in the numerical approximation of general semilinear PDEs with gradient-dependent nonlinearities

arXiv preprint arXiv:2311.11579

2023/11/20

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Tuan Anh Nguyen
Tuan Anh Nguyen

H-Index: 13

Sensitivity of robust optimization problems under drift and volatility uncertainty

arXiv preprint arXiv:2311.11248

2023/11/19

Ariel Neufeld
Ariel Neufeld

H-Index: 10

A bonus-malus framework for cyber risk insurance and optimal cybersecurity provisioning

European Actuarial Journal

2023/11/8

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Anwitaman Datta
Anwitaman Datta

H-Index: 21

An efficient Monte Carlo scheme for Zakai equations

Communications in Nonlinear Science and Numerical Simulation

2023/11/1

Deep ReLU neural networks overcome the curse of dimensionality when approximating semilinear partial integro-differential equations

Analysis and Applications

2023/1/28

Multilevel Picard algorithm for general semilinear parabolic PDEs with gradient-dependent nonlinearities

arXiv preprint arXiv:2310.12545

2023/10/19

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Bounding the Difference between the Values of Robust and Non-Robust Markov Decision Problems

arXiv preprint arXiv:2308.05520

2023/8/10

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Julian Sester
Julian Sester

H-Index: 3

Feasible approximation of matching equilibria for large-scale matching for teams problems

arXiv preprint arXiv:2308.03550

2023/8/7

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Neural networks can detect model-free static arbitrage strategies

arXiv preprint arXiv:2306.16422

2023/6/19

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Julian Sester
Julian Sester

H-Index: 3

Model-free bounds for multi-asset options using option-implied information and their exact computation

Management Science

2023/4

Ariel Neufeld
Ariel Neufeld

H-Index: 10

Antonis Papapantoleon
Antonis Papapantoleon

H-Index: 13

Quantum Monte Carlo algorithm for solving Black-Scholes PDEs for high-dimensional option pricing in finance and its proof of overcoming the curse of dimensionality

arXiv preprint arXiv:2301.09241

2023/1/23

Yongming Li
Yongming Li

H-Index: 11

Ariel Neufeld
Ariel Neufeld

H-Index: 10

See List of Professors in Ariel Neufeld University(Nanyang Technological University)