Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. - João Loula; Marco Baroni; Brenden M. Lake (BlackboxNLP@EMNLP, 2018)

Decoding fMRI activity in the time domain improves classification performance. - João Loula; Gaël Varoquaux; Bertrand Thirion (NeuroImage, 2018)

Discovering a symbolic planning language from continuous experience. - João Loula; Tom Silver; Kelsey R. Allen; Josh Tenenbaum 001 (CogSci, 2019)

A Task and Motion Approach to the Development of Planning. - João Loula; Kelsey R. Allen; Josh Tenenbaum 001 (CogSci, 2020)

Learning constraint-based planning models from demonstrations. - João Loula; Kelsey R. Allen; Tom Silver; Josh Tenenbaum 001 (IROS, 2020)

Combining rules and simulation to explain infant physical learning. - João Loula; Kelsey R. Allen; Josh Tenenbaum 001 (CogSci, 2021)

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning. - Pedro A. Tsividis; João Loula; Jake Burga; Nathan Foss; Andres Campero; Thomas Pouncy; Samuel J. Gershman; Joshua B. Tenenbaum (CoRR, 2021)

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. - João Loula; Benjamin LeBrun; Li Du; Ben Lipkin; Clemente Pasti; Gabriel Grand; Tianyu Liu 004; Yahya Emara; Marjorie Freedman; Jason Eisner; Ryan Cotterell; Vikash Mansinghka 001; et al. (ICLR, 2025)

Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling. - Benjamin Lipkin; Benjamin LeBrun; Jacob Hoover Vigly; João Loula; David R. MacIver; Li Du; Jason Eisner; Ryan Cotterell; Vikash Mansinghka 001; Timothy J. O'Donnell; Alexander K. Lew; Tim Vieira (CoRR, 2025)