| Real-time pandemic surveillance using hospital admissions and mobility data SJ Fox, M Lachmann, M Tec, R Pasco, S Woody, Z Du, X Wang, TA Ingle, ... Proceedings of the National Academy of Sciences 119 (7), e2111870119, 2022 | 32 | 2022 |
| Evaluation of ride-sourcing search frictions and driver productivity: A spatial denoising approach N Zuniga-Garcia, M Tec, JG Scott, N Ruiz-Juri, RB Machemehl Transportation Research Part C: Emerging Technologies 110, 346-367, 2020 | 30 | 2020 |
| Adversarial Intrinsic Motivation for Reinforcement Learning I Durugkar, M Tec, S Niekum, P Stone NeurIPS 2021, 2021 | 29 | 2021 |
| Watch Where You’re Going! Gaze and Head Orientation as Predictors for Social Robot Navigation B Holman, A Anwar, A Singh, M Tec, J Hart, P Stone 2021 International Conference on Robotics and Automation (ICRA), 2021 | 12 | 2021 |
| Random clique covers for graphs with local density and global sparsity SA Williamson, M Tec Uncertainty in Artificial Intelligence, 228-238, 2020 | 11 | 2020 |
| How Likely are Ride-share Drivers to Earn a Living Wage? Large-scale Spatio-temporal Density Smoothing with the Graph-fused Elastic Net M Tec, N Zuniga-Garcia, RB Machemehl, JG Scott arXiv:1911.08106, 2020 | 9* | 2020 |
| Weather2vec: Representation learning for causal inference with non-local confounding in air pollution and climate studies M Tec, JG Scott, CM Zigler Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14504 …, 2023 | 8 | 2023 |
| Towards a real-time, low-resource, end-to-end object detection pipeline for robot soccer SK Narayanaswami, M Tec, I Durugkar, S Desai, B Masetty, S Narvekar, ... Robot World Cup, 62-74, 2022 | 5 | 2022 |
| Bayesian nonparametric adjustment of confounding C Kim, M Tec, C Zigler Biometrics 79 (4), 3252-3265, 2023 | 2 | 2023 |
| A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning M Tec, Y Duan, P Müller The American Statistician 77 (2), 223-233, 2023 | 2 | 2023 |
| AdaptiveRejectionSampling.jl M Tec Software. Julia Package. https://github.com/mauriciogtec …, 2018 | 2 | 2018 |
| Targeted active learning for probabilistic models C Tosh, M Tec, W Tansey arXiv preprint arXiv:2210.12122, 2022 | 1 | 2022 |
| Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning EM Considine, RC Nethery, GA Wellenius, F Dominici, M Tec arXiv preprint arXiv:2312.14196, 2023 | | 2023 |
| A Bayesian active learning platform for scalable combination drug screens C Tosh, M Tec, J White, JF Quinn, G Ibanez Sanchez, P Calder, AL Kung, ... bioRxiv, 2023.12. 18.572245, 2023 | | 2023 |
| SpaCE: The Spatial Confounding Environment M Tec, A Trisovic, M Audirac, S Woodward, JK Hu, N Khoshnevis, ... arXiv preprint arXiv:2312.00710, 2023 | | 2023 |
| Spatial Applications of Markov Random Fields and Neural Networks for Spatio-temporal Denoising, Causal Inference and Reinforcement Learning MBG Tec University of Texas, 2022 | | 2022 |
| UT Austin Villa Team Description Paper A Adekanmbi, S Agarwal, S Desai, I Durugkar, S Hatgiskessell, ... | | |
James G. ScottProfessor of Statistics and Data Science, University of Texas at AustinVerified email at mccombs.utexas.edu
