Gibbs Sampling with People. - Peter M. C. Harrison; Raja Marjieh; Federico Adolfi; Pol van Rijn; Manuel Anglada-Tort; Ofer Tchernichovski; Pauline Larrouy-Maestri; Nori Jacoby (NeurIPS, 2020)

Computational Complexity of Segmentation. - Federico Adolfi; Todd Wareham; Iris van Rooij (CogSci, 2022)

A Computational Complexity Perspective on Segmentation as a Cognitive Subcomputation. - Federico Adolfi; Todd Wareham; Iris van Rooij (Top. Cogn. Sci., 2023)

Successes and critical failures of neural networks in capturing human-like speech recognition. - Federico Adolfi; Jeffrey S. Bowers; David Poeppel (Neural Networks, 2023)

On the importance of severely testing deep learning models of cognition. - Jeffrey S. Bowers; Gaurav Malhotra; Federico Adolfi; Marin Dujmovic; Milton Llera Montero; Valerio Biscione; Guillermo Puebla; John E. Hummel; Rachel F. Heaton (Cogn. Syst. Res., 2023)

Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. - Martina G. Vilas; Federico Adolfi; David Poeppel; Gemma Roig (ICML, 2024)

MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. - Valerio Biscione; Dong Yin; Gaurav Malhotra; Marin Dujmovic; Milton Llera Montero; Guillermo Puebla; Federico Adolfi; Rachel F. Heaton; John E. Hummel; Benjamin D. Evans; Karim Habashy; Jeffrey S. Bowers (CoRR, 2024)

Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. - Martina G. Vilas; Federico Adolfi; David Poeppel; Gemma Roig (CoRR, 2024)

The Computational Complexity of Circuit Discovery for Inner Interpretability. - Federico Adolfi; Martina G. Vilas; Todd Wareham (ICLR, 2025)