Machine Learning and Computational Cognitive Science

• Learning with amigo: Adversarially motivated intrinsic goals

  2020; A. Campero, R. Raileanu, H. Kuttler, J. Tenenbaum, T. Rocktaschel, E. Grefenstette 

• Logical Rule Induction and Theory Learning Using Neural Theorem Proving

  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; Research Project

Cognitive Neuroscience

• Neural Measures of Engagement Capture Preferences in Live Political Debates

  2016; Published in 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; Economics and Political Science Undergraduate 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