Xavier Warin

Orcid: 0000-0002-1784-2875

According to our database1, Xavier Warin authored at least 27 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The GroupMax Neural Network Approximation of Convex Functions.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

P1-KAN an effective Kolmogorov Arnold Network for function approximation.
CoRR, 2024

Deep learning algorithms for FBSDEs with jumps: Applications to option pricing and a MFG model for smart grids.
CoRR, 2024

2023
Mean-field neural networks: Learning mappings on Wasserstein space.
Neural Networks, November, 2023

Reservoir optimization and machine learning methods.
EURO J. Comput. Optim., January, 2023

Actor critic learning algorithms for mean-field control with moment neural networks.
CoRR, 2023

Quantile and moment neural networks for learning functionals of distributions.
CoRR, 2023

2022
Approximation Error Analysis of Some Deep Backward Schemes for Nonlinear PDEs.
SIAM J. Sci. Comput., 2022

DeepSets and Their Derivative Networks for Solving Symmetric PDEs.
J. Sci. Comput., 2022

Rate of convergence for particle approximation of PDEs in Wasserstein space.
J. Appl. Probab., 2022

2021
Discretization and machine learning approximation of BSDEs with a constraint on the Gains-process.
Monte Carlo Methods Appl., 2021

Fast multivariate empirical cumulative distribution function with connection to kernel density estimation.
Comput. Stat. Data Anal., 2021

2020
Deep backward schemes for high-dimensional nonlinear PDEs.
Math. Comput., 2020

On conditional cuts for stochastic dual dynamic programming.
EURO J. Comput. Optim., 2020

2019
Machine Learning for Semi Linear PDEs.
J. Sci. Comput., 2019

Neural networks-based backward scheme for fully nonlinear PDEs.
CoRR, 2019

Some machine learning schemes for high-dimensional nonlinear PDEs.
CoRR, 2019

2018
Nesting Monte Carlo for high-dimensional non-linear PDEs.
Monte Carlo Methods Appl., 2018

2017
Numerical Approximation of a Cash-Constrained Firm Value with Investment Opportunities.
SIAM J. Financial Math., 2017

Numerical approximation of BSDEs using local polynomial drivers and branching processes.
Monte Carlo Methods Appl., 2017

2016
Some Non-monotone Schemes for Time Dependent Hamilton-Jacobi-Bellman Equations in Stochastic Control.
J. Sci. Comput., 2016

Liquidity management with decreasing returns to scale and secured credit line.
Finance Stochastics, 2016

2012
FT-GReLoSSS: A Skeletal-Based Approach towards Application Parallelization and Low-Overhead Fault Tolerance.
Proceedings of the 20th Euromicro International Conference on Parallel, 2012

2011
A Finite-Dimensional Approximation for Pricing Moving Average Options.
SIAM J. Financial Math., 2011

2009
Valuation of power plants by utility indifference and numerical computation.
Math. Methods Oper. Res., 2009

Large scale experiment and optimization of a distributed stochastic control algorithm. Application to energy management problems.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2008
Large scale distribution of stochastic control algorithms for gas storage valuation.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008


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