Dimensional perception of a 'smiling McGurk effect'. - Ilaria Torre 002; Simon Holk; Emma Carrigan; Iolanda Leite; Rachel McDonnell; Naomi Harte (ACII, 2021)

Aligning Human Preferences with Baseline Objectives in Reinforcement Learning. - Daniel Marta; Simon Holk; Christian Pek; Jana Tumova; Iolanda Leite (ICRA, 2023)

VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning. - Daniel Marta; Simon Holk; Christian Pek; Jana Tumova; Iolanda Leite (IROS, 2023)

PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning. - Simon Holk; Daniel Marta; Iolanda Leite (HRI, 2024)

POLITE: Preferences Combined with Highlights in Reinforcement Learning. - Simon Holk; Daniel Marta; Iolanda Leite (ICRA, 2024)

SEQUEL: Semi-Supervised Preference-based RL with Query Synthesis via Latent Interpolation. - Daniel Marta; Simon Holk; Christian Pek; Iolanda Leite (ICRA, 2024)

Smiling in the Face and Voice of Avatars and Robots: Evidence for a 'Smiling McGurk Effect'. - Ilaria Torre 002; Simon Holk; Elmira Yadollahi; Iolanda Leite; Rachel McDonnell; Naomi Harte (IEEE Trans. Affect. Comput., 2024)

The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning. - Jorge de Heuvel; Daniel Marta; Simon Holk; Iolanda Leite; Maren Bennewitz (CoRR, 2025)

FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions. - Daniel Marta; Simon Holk; Miguel Vasco; Jens Lundell; Timon Homberger; Finn Busch; Olov Andersson; Danica Kragic; Iolanda Leite (CoRR, 2025)

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training. - Sodtavilan Odonchimed; Tatsuya Matsushima; Simon Holk; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)