Translation Tolerance in Vision. - Ryan Blything; Ivan Vankov; Casimir J. H. Ludwig; Jeffrey S. Bowers (CogSci, 2019)

EPIC-Tent: An Egocentric Video Dataset for Camping Tent Assembly. - Youngkyoon Jang; Brian Sullivan; Casimir J. H. Ludwig; Iain D. Gilchrist; Dima Damen; Walterio W. Mayol-Cuevas (ICCV Workshops, 2019)

Doubting what you already know: Uncertainty regarding state transitions is associated with obsessive compulsive symptoms. - Isaac Fradkin; Casimir J. H. Ludwig; Eran Eldar; Jonathan D. Huppert (PLoS Comput. Biol., 2020)

Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull. - Cindy Xiong; Cristina R. Ceja; Casimir J. H. Ludwig; Steven Franconeri (IEEE Trans. Vis. Comput. Graph., 2020)

The role of Disentanglement in Generalisation. - Milton Llera Montero; Casimir J. H. Ludwig; Rui Ponte Costa; Gaurav Malhotra; Jeffrey S. Bowers (ICLR, 2021)

Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation. - Milton Llera Montero; Jeffrey S. Bowers; Rui Ponte Costa; Casimir J. H. Ludwig; Gaurav Malhotra (NeurIPS, 2022)

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation. - Milton Llera Montero; Jeffrey S. Bowers; Rui Ponte Costa; Casimir J. H. Ludwig; Gaurav Malhotra (CoRR, 2022)

What deep reinforcement learning tells us about human motor learning and vice-versa. - Michele Garibbo; Casimir J. H. Ludwig; Nathan F. Lepora; Laurence Aitchison (CoRR, 2022)

Are you Struggling? Dataset and Baselines for Struggle Determination in Assembly Videos. - Shijia Feng; Michael Wray; Brian Sullivan; Youngkyoon Jang; Casimir J. H. Ludwig; Iain D. Gilchrist; Walterio W. Mayol-Cuevas (CoRR, 2024)

Relating Human Error-Based Learning to Modern Deep RL Algorithms. - Michele Garibbo; Casimir J. H. Ludwig; Nathan F. Lepora; Laurence Aitchison (Neural Comput., 2024)