General terminal-conditioned diffusion framework for inverse problems
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Sep 15, 2026 - Python
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bsde
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Deep Global, Local and MultiStep solvers approximating the solutions of FBSDEs with jumps which are related to a class of (PIDEs) Partial Integro-Differential Equations.
machine-learning deep-learning tensorflow stochastic-differential-equations levy-processes pde-solver bsde
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Nov 27, 2024 - Python
Código y experimentos numéricos de la monografía de maestría «Ecuaciones Diferenciales Estocásticas Regresivas: una Introducción» — Maestría en Matemáticas, Universidad de Antioquia, 2026
monte-carlo numerical-methods black-scholes masters-thesis stochastic-calculus bsde universidad-de-antioquia
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Sep 8, 2026 - Jupyter Notebook
Neural hedging policies (GRU, deep-set, no-trade-band) minimising CVaR, entropic and spectral risk under transaction costs, on fused CUDA kernels at billions of paths per second, with a deep BSDE pricer.
deep-learning monte-carlo cuda pytorch option-pricing quantitative-finance risk-management stochastic-control stochastic-volatility cvar bsde deep-hedging
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Sep 24, 2026 - Python
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