12 citations · 20 across the 11 of their papers we have counts for
11 papers
Multi-Objective Constraint Inference using Inverse reinforcement learning
Syed Ihtesham Hussain Shah, Floris den Hengst, Aneta Lisowska +1
Constraint inference is widely considered essential to align reinforcement learning agents with safety boundaries and operational guidelines by observing expert demonstrations. How…
Hierarchical Conformal Classification
Floris den Hengst, Inès Blin, Majid Mohammadi +2
Conformal prediction (CP) is a powerful framework for quantifying uncertainty in machine learning models, offering reliable predictions with finite-sample coverage guarantees. When…
A Study of Commonsense Reasoning over Visual Object Properties
Abhishek Kolari, Mohammadhossein Khojasteh, Yifan Jiang +2
Inspired by human categorization, visual reasoning about object properties, such as physical attributes and functions, involves identifying and recognizing low-level details and hi…
Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
Cas Oude Hoekstra, Floris den Hengst
Symbolic Regression (SR) is a well-established framework for generating interpretable or white-box predictive models. Although SR has been successfully applied to create interpreta…
Detecting Linguistic Bias in Government Documents Using Large language Models
Milena de Swart, Floris den Hengst, Jieying Chen
This paper addresses the critical need for detecting bias in government documents, an underexplored area with significant implications for governance. Existing methodologies often…
SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments
Hüseyin Aydın, Kevin Godin-Dubois, Libio Goncalvez Braz +6
Reinforcement learning (RL) offers a general approach for modeling and training AI agents, including human-AI interaction scenarios. In this paper, we propose SHARPIE (Shared Human…
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
Floris den Hengst, Ralf Wolter, Patrick Altmeyer +1
We present Conformal Intent Classification and Clarification (CICC), a framework for fast and accurate intent classification for task-oriented dialogue systems. The framework turns…
Explainable Fraud Detection with Deep Symbolic Classification
Samantha Visbeek, Erman Acar, Floris den Hengst
There is a growing demand for explainable, transparent, and data-driven models within the domain of fraud detection. Decisions made by fraud detection models need to be explainable…
Log Parsing Evaluation in the Era of Modern Software Systems
Stefan Petrescu, Floris den Hengst, Alexandru Uta +1
Due to the complexity and size of modern software systems, the amount of logs generated is tremendous. Hence, it is infeasible to manually investigate these data in a reasonable ti…
Low-Variance Policy Gradient Estimation with World Models
Michal Nauman, Floris Den Hengst
In this paper, we propose World Model Policy Gradient (WMPG), an approach to reduce the variance of policy gradient estimates using learned world models (WM's). In WMPG, a WM is tr…
Reinforcement Learning for Personalized Dialogue Management
Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen +1
Language systems have been of great interest to the research community and have recently reached the mass market through various assistant platforms on the web. Reinforcement Learn…