Random Clique Covers for Graphs with Local Density and Global Sparsity. - Sinead A. Williamson; Mauricio Tec (UAI, 2019)

Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation. - Blake Holman; Abrar Anwar; Akash Singh; Mauricio Tec; Justin W. Hart; Peter Stone 001 (ICRA, 2021)

Adversarial Intrinsic Motivation for Reinforcement Learning. - Ishan Durugkar; Mauricio Tec; Scott Niekum; Peter Stone 001 (NeurIPS, 2021)

Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. - Sai Kiran Narayanaswami; Mauricio Tec; Ishan Durugkar; Siddharth Desai; Bharath Masetty; Sanmit Narvekar; Peter Stone 001 (RoboCup, 2022)

Targeted active learning for probabilistic models. - Christopher Tosh; Mauricio Tec; Wesley Tansey (CoRR, 2022)

Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies. - Mauricio Tec; James G. Scott; Corwin M. Zigler (AAAI, 2023)

Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US. - Mauricio Tec; Oladimeji Mudele; Kevin Josey; Francesca Dominici (CoRR, 2023)

Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning. - Ellen M. Considine; Rachel C. Nethery; Gregory A. Wellenius; Francesca Dominici; Mauricio Tec (CoRR, 2023)

SpaCE: The Spatial Confounding Environment. - Mauricio Tec; Ana Trisovic; Michelle Audirac; Sophie Woodward; Jie Kate Hu; Naeem Khoshnevis; Francesca Dominici (ICLR, 2024)

Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US. - Mauricio Tec; Kevin Josey; Oladimeji Mudele; Francesca Dominici (KDD, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

Optimizing Heat Alert Issuance with Reinforcement Learning. - Ellen M. Considine; Rachel C. Nethery; Gregory A. Wellenius; Francesca Dominici; Mauricio Tec (AAAI, 2025)

E(n) Equivariant Topological Neural Networks. - Claudio Battiloro; Ege Karaismailoglu; Mauricio Tec; George Dasoulas; Michelle Audirac; Francesca Dominici (ICLR, 2025)

Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents. - Mauricio Tec; Guojun Xiong; Haichuan Wang; Francesca Dominici; Milind Tambe (CoRR, 2025)