Mauricio Tec

According to our database, Mauricio Tec authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Preference Robustness for DPO with Applications to Public Health.

Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Guided Transfer Learning for Discrete Diffusion Models.

Julian Kleutgens, Claudio Battiloro, Lingkai Kong, Benjamin Grewe, Francesca Dominici, Mauricio Tec

CoRR, December, 2025

Lightweight Robust Direct Preference Optimization.

Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe

CoRR, October, 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, February, 2025

TopoBench: A Framework for Benchmarking Topological Deep Learning.

Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou

J. Data-centric Mach. Learn. Res., 2025

E(n) Equivariant Topological Neural Networks.

Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Optimizing Heat Alert Issuance with Reinforcement Learning.

Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SpaCE: The Spatial Confounding Environment.

Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici

Proceedings of the Twelfth International Conference on Learning Representations, 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, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

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

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

Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies.

Mauricio Tec, James G. Scott, Corwin M. Zigler

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Targeted active learning for probabilistic models.

Christopher Tosh, Mauricio Tec, Wesley Tansey

CoRR, 2022

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

Proceedings of the RoboCup 2022:, 2022

2021

Adversarial Intrinsic Motivation for Reinforcement Learning.

Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019

Random Clique Covers for Graphs with Local Density and Global Sparsity.

Sinead A. Williamson, Mauricio Tec

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019