Raj G. Patel

According to our database, Raj G. Patel authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Application of Tensor Neural Networks to Pricing Bermudan Swaptions.

Raj G. Patel, Tomas Dominguez, Mohammad Dib, Samuel Palmer, Andrea Cadarso, Fernando De Lope Contreras, Abdelkader Ratnani, Francisco Gomez Casanova, Senaida Hernández-Santana, Álvaro Díaz Fernández, Eva Andrés, Jorge Luis-Hita, Escolástico Sánchez-Martínez, Samuel Mugel, Roman Orus

CoRR, 2023

Recursive Time Series Data Augmentation.

Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Cheng Chi, Chi-Guhn Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Quantum-Inspired Tensor Neural Networks for Option Pricing.

Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Samuel Palmer, Saeed S. Jahromi, Shivam Sharma, Tomas Dominguez, Kris Tziritas, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Samuel Mugel, Roman Orus

CoRR, 2022

Quantum-Inspired Tensor Neural Networks for Partial Differential Equations.

Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Saeed S. Jahromi, Samuel Palmer, Shivam Sharma, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Chi-Guhn Lee, Samuel Mugel, Roman Orus

CoRR, 2022

Don't overfit the history - Recursive time series data augmentation.

Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Cheng Chi, Chi-Guhn Lee

CoRR, 2022