Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes. - Ali Hirsa; Tugce Karatas; Amir Oskoui (CoRR, 2019)

An unsupervised deep learning approach in solving partial-integro differential equations. - Ali Hirsa; Weilong Fu (CoRR, 2020)

Regularized Generative Adversarial Network. - Gabriele Di Cerbo; Ali Hirsa; Ahmad Shayaan (CoRR, 2021)

Explainable AI in Credit Risk Management. - Branka Hadji Misheva; Jörg Osterrieder; Ali Hirsa; Onkar Kulkarni; Stephen Fung Lin (CoRR, 2021)

Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques. - Tugce Karatas; Ali Hirsa (CoRR, 2021)

Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting. - Tugce Karatas; Federico Klinkert; Ali Hirsa (CoRR, 2021)

Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques. - Tugce Karatas; Ali Hirsa (CoRR, 2021)

Simulating financial time series using attention. - Weilong Fu; Ali Hirsa; Jörg Osterrieder (CoRR, 2022)

Post trade allocation: how much are bunched orders costing your performance? - Ali Hirsa; Massoud Heidari (CoRR, 2022)