Mauricio Tec

24 papers A* 8A 1C 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Preference Robustness for DPO with Applications to Public Health.
AAAI
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2025 A* conf
E(n) Equivariant Topological Neural Networks.
ICLR
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
2025 J jnl
Guided Transfer Learning for Discrete Diffusion Models.
CoRR
Julian Kleutgens, Claudio Battiloro, Lingkai Kong, Benjamin Grewe, Francesca Dominici, Mauricio Tec
2025 J jnl
Lightweight Robust Direct Preference Optimization.
CoRR
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2025 A* conf
Optimizing Heat Alert Issuance with Reinforcement Learning.
AAAI
Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec
2025 J jnl
Preference Robustness for DPO with Applications to Public Health.
CoRR
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2025 J jnl
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents.
CoRR
Mauricio Tec, Guojun Xiong, Haichuan Wang, Francesca Dominici, Milind Tambe
2025 J jnl
TopoBench: A Framework for Benchmarking Topological Deep Learning.
J. Data-centric Mach. Learn. Res.
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
2024 A* conf
Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US.
KDD
Mauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici
2024 J jnl
E(n) Equivariant Topological Neural Networks.
CoRR
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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 P. 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
2024 A* conf
SpaCE: The Spatial Confounding Environment.
ICLR
Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici
2023 J jnl
Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US.
CoRR
Mauricio Tec, Oladimeji Mudele, Kevin Josey, Francesca Dominici
2023 J jnl
Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning.
CoRR
Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec
2023 J jnl
SpaCE: The Spatial Confounding Environment.
CoRR
Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici
2023 A* conf
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies.
AAAI
Mauricio Tec, James G. Scott, Corwin M. Zigler
2022 J jnl
Targeted active learning for probabilistic models.
CoRR
Christopher Tosh, Mauricio Tec, Wesley Tansey
2022 C conf
Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer.
RoboCup
Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone
2022 J jnl
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies.
CoRR
Mauricio Tec, James G. Scott, Corwin M. Zigler
2021 A* conf
Adversarial Intrinsic Motivation for Reinforcement Learning.
NeurIPS
Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
2021 J jnl
Adversarial Intrinsic Motivation for Reinforcement Learning.
CoRR
Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
2021 A* conf
Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation.
ICRA
Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin W. Hart, Peter Stone
2019 A conf
Random Clique Covers for Graphs with Local Density and Global Sparsity.
UAI
Sinead A. Williamson, Mauricio Tec