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Mauricio Tec
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2020 – today
- 2024
- [c7]Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici:
SpaCE: The Spatial Confounding Environment. ICLR 2024 - [c6]Mauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici:
Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US. KDD 2024: 2876-2887 - [i8]Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici:
E(n) Equivariant Topological Neural Networks. CoRR abs/2405.15429 (2024) - [i7]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:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [c5]Mauricio Tec, James G. Scott, Corwin M. Zigler:
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies. AAAI 2023: 14504-14513 - [i6]Mauricio Tec, Oladimeji Mudele, Kevin Josey, Francesca Dominici:
Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US. CoRR abs/2302.02560 (2023) - [i5]Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici:
SpaCE: The Spatial Confounding Environment. CoRR abs/2312.00710 (2023) - [i4]Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec:
Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning. CoRR abs/2312.14196 (2023) - 2022
- [c4]Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone:
Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. RoboCup 2022: 62-74 - [i3]Mauricio Tec, James G. Scott, Corwin M. Zigler:
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies. CoRR abs/2209.12316 (2022) - [i2]Christopher Tosh, Mauricio Tec, Wesley Tansey:
Targeted active learning for probabilistic models. CoRR abs/2210.12122 (2022) - 2021
- [c3]Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin W. Hart, Peter Stone:
Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation. ICRA 2021: 3553-3559 - [c2]Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone:
Adversarial Intrinsic Motivation for Reinforcement Learning. NeurIPS 2021: 8622-8636 - [i1]Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone:
Adversarial Intrinsic Motivation for Reinforcement Learning. CoRR abs/2105.13345 (2021)
2010 – 2019
- 2019
- [c1]Sinead A. Williamson, Mauricio Tec:
Random Clique Covers for Graphs with Local Density and Global Sparsity. UAI 2019: 228-238
Coauthor Index
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last updated on 2024-11-20 21:00 CET by the dblp team
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