Causal and compositional generative models in online perception. - Ilker Yildirim; Michael Janner; Mario Belledonne; Christian Wallraven; Winrich Freiwald; Josh Tenenbaum 001 (CogSci, 2017)

Real-time inference of physical properties in dynamic scenes. - Kevin Smith 003; Mario Belledonne; Ilker Yildirim; Jiajun Wu 001; Josh Tenenbaum 001 (CogSci, 2019)

Modeling temporal attention in dynamic scenes: Hypothesis-driven resource allocation using adaptive computation explains both objective tracking performance and subjective effort judgments. - Eivinas Butkus; Mario Belledonne; Brian J. Scholl; Ilker Yildirim (CogSci, 2020)

Learning a metacognition for object perception. - Marlene Berke; Mario Belledonne; Julian Jara-Ettinger (CoRR, 2020)

Automatic computation of navigational affordances explains selective processing of geometry in scene perception: behavioral and computational evidence. - Mario Belledonne; Ilker Yildirim (CogSci, 2021)

Learning a Metacognition for Object Detection. - Marlene Berke; Mario Belledonne; Zhangir Azerbayev; Julian Jara-Ettinger (CoRR, 2021)

Where does the flow go? Humans automatically predict liquid pathing with coarse-grained simulation. - Yuting Zhang; Mario Belledonne; Tristan Yates; Ilker Yildirim (CogSci, 2023)

MetaCOG: A Heirarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations. - Marlene Berke; Zhangir Azerbayev; Mario Belledonne; Zenna Tavares; Julian Jara-Ettinger (UAI, 2024)