Paul Bilokon

According to our database, Paul Bilokon authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Evolution-Bootstrapped Simulation: Artificial or Human Intelligence: Which Came First?

Paul Alexander Bilokon

CoRR, 2024

2023

From Deep Filtering to Deep Econometrics.

Robert Stok, Paul Bilokon

CoRR, 2023

Combining Deep Learning on Order Books with Reinforcement Learning for Profitable Trading.

Koti S. Jaddu, Paul Alexander Bilokon

CoRR, 2023

Transformers versus LSTMs for electronic trading.

Paul Bilokon, Yitao Qiu

CoRR, 2023

Applying Deep Learning to Calibrate Stochastic Volatility Models.

Abir Sridi, Paul Bilokon

CoRR, 2023

A compendium of data sources for data science, machine learning, and artificial intelligence.

Paul Bilokon, Oleksandr Bilokon, Saeed Amen

CoRR, 2023

C++ Design Patterns for Low-latency Applications Including High-frequency Trading.

Paul Bilokon, Burak Gunduz

CoRR, 2023

Semi-static Conditions in Low-latency C++ for High Frequency Trading: Better than Branch Prediction Hints.

Paul Alexander Bilokon, Maximilian Lucuta, Erez Shermer

CoRR, 2023

Exploring the Advantages of Transformers for High-Frequency Trading.

Fazl Barez, Paul Bilokon, Arthur Gervais, Nikita Lisitsyn

CoRR, 2023

Benchmarking Specialized Databases for High-frequency Data.

Fazl Barez, Paul Bilokon, Ruijie Xiong

CoRR, 2023

2021

Identification and validation of Triamcinolone and Gallopamil as treatments for early COVID-19 via an in silico repurposing pipeline.

Méabh MacMahon, Woochang Hwang, Soorin Yim, Eoghan MacMahon, Alexandre Abraham, Justin Barton, Mukunthan Tharmakulasingam, Paul Bilokon, Vasanthi Priyadarshini Gaddi, Namshik Han

CoRR, 2021

2017

A domain-theoretic approach to Brownian motion and general continuous stochastic processes.

Paul Bilokon, Abbas Edalat

Theor. Comput. Sci., 2017