39 citations · 39 across the 6 of their papers we have counts for
9 papers
Continuous and Differentiable Neural Network Representations of the Surfzone Sea-Surface from Lidar Point Clouds
David R. Culver, Matthias Morzfeld, Falk Feddersen
Ocean waves are often analyzed via sea-surface observations. Multi-beam scanning lidar enables two-dimensional measurements of the water surface via sequenced point clouds…
Agent Reliability Profiles in Financial Services
Mike Hsu, Medha Bankhwal, Béatrice Moissinac +3
AI agents can take actions. At times, those actions can go beyond what is intended. Agent reliability can be defined as assurance that an agent will stay within intended bounds and…
Empirical Auditing of Edge-Private Graph Generators
Anum Fatima, Stratis Limnios, James Adams +4
We empirically audit privacy leakage by testing whether outputs from edge-neighbouring inputs remain distinguishable, using statistically valid lower bounds on the privacy loss wit…
Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems
CheolWon Na, Hao Ni, Lukasz Szpruch +7
LLM-based multi-agent trading systems, in which specialized agents collaborate through structured communication to produce trading decisions, are moving rapidly from research proto…
Underwriting the Agent Economy: The Blueprint for an AI Insurance Stack
Cristian Trout, Sanmi Koyejo, Sasha Romanosky +34
From maritime trade to commercial nuclear power, insurance has been the enabler of major economic and technological developments by pricing risk, limiting downside, and spreading b…
FraudTransformer: Time-Aware GPT for Transaction Fraud Detection
Gholamali Aminian, Andrew Elliott, Tiger Li +8
Detecting payment fraud in real-world banking streams requires models that can exploit both the order of events and the irregular time gaps between them. We introduce FraudTransfor…
Individualised Counterfactual Examples Using Conformal Prediction Intervals
James M. Adams, Gesine Reinert, Lukasz Szpruch +2
Counterfactual explanations for black-box models aim to pr ovide insight into an algorithmic decision to its recipient. For a binary classification problem an individual counterfac…
Numerical approximation of ergodic BSDEs using non linear Feynman-Kac formulas
Emmanuel Gobet, Adrien Richou, Lukasz Szpruch
In this work we study the numerical approximation of a class of ergodic Backward Stochastic Differential Equations. These equations are formulated in an infinite horizon framework…
The AI Revolution: Opportunities and Challenges for the Finance Sector
Carsten Maple, Lukasz Szpruch, Gregory Epiphaniou +7
This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to revolutionise the industry and identify its challenges. It underscores the cri…