12 citations · 20 across the 11 of their papers we have counts for
5 papers · 1 filter
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…