Statistical Mechanics · Physics
Pricing Derivatives by Path Integral and Neural Networks
G. Montagna, M. Morelli, O. Nicrosini, P. Amato +1
2009-11-07
Numerical Analysis · Mathematics
Enhanced physics-informed neural networks with domain scaling and residual correction methods for multi-frequency elliptic problems
Deok-Kyu Jang, Hyea Hyun Kim, Kyungsoo Kim
2023-11-08
Machine Learning · Computer Science
Improved probabilistic regression using diffusion models
Carlo Kneissl, Christopher Bülte, Philipp Scholl, Gitta Kutyniok
2025-10-07
Computational Engineering, Finance, and Science · Computer Science
Applying Informer for Option Pricing: A Transformer-Based Approach
Feliks Bańka, Jarosław A. Chudziak
2025-06-09
Numerical Analysis · Mathematics
Nonlinear multigrid based on local spectral coarsening for heterogeneous diffusion problems
Chak Shing Lee, François Hamon, Nicola Castelletto, Panayot S. Vassilevski +1
2020-10-29
Optimization and Control · Mathematics
Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
Namhoon Cho, Hyo-Sang Shin, Antonios Tsourdos, Davide Amato
2024-03-12
Machine Learning · Computer Science
Nonlinear Collaborative Scheme for Deep Neural Networks
Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li +2
2018-11-06
Machine Learning · Computer Science
Orthogonal projection-based regularization for efficient model augmentation
Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamás Péni +2
2025-07-15
Numerical Analysis · Mathematics
Shallow neural network yields regularization for ill-posed inverse problems
Lan Wang, Qiao Zhu, Bangti Jin, Ye Zhang
2025-11-21
Computational Physics · Physics
Learning and correcting non-Gaussian model errors
Danny Smyl, Tyler N. Tallman, Jonathan A. Black, Andreas Hauptmann +1
2021-03-17
Pricing of Securities · Quantitative Finance
Comparison of the analytical approximation formula and Newton's method for solving a class of nonlinear Black-Scholes parabolic equations
Karol Duris, Shih-Hau Tan, Choi-Hong Lai, Daniel Sevcovic
2015-11-25