Machine Learning and Computational Cognitive Science
- Consciousness in Artificial Intelligence: A revision of Objections and Constraints, 2024 – work in progress; A. Campero, J. Simon
- Report on Candidate Computational Indicators for Conscious Valenced Exprience, 2024, A. Campero
- Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning, 2024, P. Tsividis et al.
- A Test for Evaluating Performance in Human-Computer Systems, CCI 2022, A. Campero, M. Vaccaro, et al.
- Learning with amigo: Adversarially motivated intrinsic goals, ICLR 2021; A. Campero, R. Raileanu, H. Kuttler, J. Tenenbaum, T. Rocktaschel, E. Grefenstette
- Logical Rule Induction and Theory Learning Using Neural Theorem Proving Neurips Workshop, 2018; A. Campero, A. Pareja, T. Klinger, J. Tenenbaum and S. Riedel
- Neural Theorem Proving on Natural Language, ProbProg 2018; Summer visit at UCL;
M. Bosnjak, P. Minervini, A. Campero, T. Rocktaschel, E. Grefenstette, S.Riedel - Learning to Learn Visual Object Categories by Integrating Deep Learning with
Hierarchical Bayes, CogSci 2017; A. Campero, A. Francl and J. Tenenbaum - A First Step in Combining Cognitive Event Features and Natural Language Representations to Predict Emotions, CCNeuro 2017; A.Campero, B. Felbo, J. Tenenbaum and R. Saxe
- Bayesian Program Learning Enhanced with Neural Networks, 2016
Cognitive Neuroscience
- Neural Measures of Engagement Capture Preferences in Live Political Debates, ACR 2018; S. Barnett, A. Campero, R. Zilberman, M.Cerf
- The malleability of cognitive and non-cognitive skills through advanced educational practices captured using multidisciplinary measures, 2016
Game Theory and Decision Theory
- Heurísticas, Evolución y Moral, 2014; Thesis with Honors
- 2015; Independent study with Professor Ehud Kalai
- 2013-2014; Research Assistant for Professor César Martinelli
- 2013; Research Visitor at the Decision-Making Research Program, University of Bristol, Professors David Leslie and John McNamara
- 2013; Bounded Rationality in Choice Conference, Invited by Professors Marco Mariotti and Paola Manzini