5 papers
Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World Scenes
Nico Heider, Michał Jan Włodarczyk, Katarzyna Wasielewska-Michniewska +5
Training and evaluating spatial reasoning in embodied agents requires diverse environments that are both geometrically faithful and semantically queryable. Synthetic simulators off…
Local and quasilocal conservation laws of three-state IRF cellular automata and their quantum deformations
Tomaž Prosen
Using patch-matrix-product methods, we study two reversible three-state interaction-round-a-face cellular automata introduced by Klobas and Prosen [J. Phys. A 55, 094003 (2022)] -…
TABL-ABM: A Hybrid Framework for Synthetic LOB Generation
Ollie Olby, Rory Baggott, Namid Stillman
The recent application of deep learning models to financial trading has heightened the need for high fidelity financial time series data. This synthetic data can be used to supplem…
Right Place, Right Time: Market Simulation-based RL for Execution Optimisation
Ollie Olby, Andreea Bacalum, Rory Baggott +1
Execution algorithms are vital to modern trading, they enable market participants to execute large orders while minimising market impact and transaction costs. As these algorithms…
To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions
Dimitrios Emmanoulopoulos, Ollie Olby, Justin Lyon +1
Large language models (LLMs) are increasingly deployed in agentic frameworks, in which prompts trigger complex tool-based analysis in pursuit of a goal. While these frameworks have…