Kristian Kersting

SCoBots improve reinforcement learning by enhancing object relationship understanding.

The impact of language on gender stereotypes in image generation technologies.

Combining Mixture of Experts and Monte Carlo Tree Search for better chess performance.

BOWLL sets a new standard for adaptive learning systems.

A new approach helps machines learn and interpret visual concepts effectively.

A new method uses human feedback to improve predictions in time series analysis.

DeiSAM enhances image understanding by combining neural networks with logical reasoning.

A new method improves learning from multiple time series datasets.

A dataset designed to test machine learning models under changing confounding factors.

ALERT benchmark assesses safety risks in language models to improve their responses.

New tree structures improve decision-making visibility in AI systems.

A new framework to improve AI agents' learning through modified Atari games.

A new system assesses safety risks in images generated by AI models.

A novel approach combines learning and logic for better AI reasoning.

A new method to define rewards for reinforcement learning agents using language models.

A new method improves efficiency in language processing by simplifying tokenization.

Characteristic Interventional Sum-Product Networks improve causal inference in mixed data.

This article explores the NL-DAR framework for improving diagnostic reasoning with AI.

Learn how company fundamentals and forecasting influence investment decisions.

Scar enhances language models by reducing toxic language in text generation.

CNA method enhances GNNs by tackling oversmoothing and improving performance.

This article examines shortcut learning issues in machine learning and how to address them.

M-ALERT tests language models for safety across five languages.

Linking logic programming with neural networks for faster AI solutions.