{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T04:48:45Z","timestamp":1769575725406,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"JSPS KAKENHI","award":["20H04075, 21H04892, 21H05300"],"award-info":[{"award-number":["20H04075, 21H04892, 21H05300"]}]},{"name":"JST CREST","award":["JPMJCR1913"],"award-info":[{"award-number":["JPMJCR1913"]}]},{"name":"JST PRESTO","award":["JPMJPR20CA"],"award-info":[{"award-number":["JPMJPR20CA"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1145\/3557915.3560941","type":"proceedings-article","created":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T00:11:25Z","timestamp":1669162285000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Estimating counterfactual treatment outcomes over time in multi-vehicle simulation"],"prefix":"10.1145","author":[{"given":"Keisuke","family":"Fujii","sequence":"first","affiliation":[{"name":"Nagoya University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koh","family":"Takeuchi","sequence":"additional","affiliation":[{"name":"Kyoto University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atsushi","family":"Kuribayashi","sequence":"additional","affiliation":[{"name":"Nagoya University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoya","family":"Takeishi","sequence":"additional","affiliation":[{"name":"HES-SO, Switzerland, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshinobu","family":"Kawahara","sequence":"additional","affiliation":[{"name":"Kyushu University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuya","family":"Takeda","sequence":"additional","affiliation":[{"name":"Nagoya University Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,11,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Conference on Machine Learning. PMLR, 884--895","author":"Bica Ioana","year":"2020","unstructured":"Ioana Bica, Ahmed Alaa, and Mihaela Van Der Schaar. 2020. Time series deconfounder: Estimating treatment effects over time in the presence of hidden confounders. In International Conference on Machine Learning. PMLR, 884--895."},{"key":"e_1_3_2_1_2_1","volume-title":"International Conference on Learning Representations.","author":"Bica Ioana","unstructured":"Ioana Bica, Ahmed M Alaa, James Jordon, and Mihaela van der Schaar. 2020. Estimating counterfactual treatment outcomes over time through adversarially balanced representations. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_3_1","volume-title":"Human Trajectory Prediction via Counterfactual Analysis. arXiv preprint arXiv:2107.14202","author":"Chen Guangyi","year":"2021","unstructured":"Guangyi Chen, Junlong Li, Jiwen Lu, and Jie Zhou. 2021. Human Trajectory Prediction via Counterfactual Analysis. arXiv preprint arXiv:2107.14202 (2021)."},{"key":"e_1_3_2_1_4_1","unstructured":"Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron C Courville and Yoshua Bengio. 2015. A recurrent latent variable model for sequential data. In Advances in Neural Information Processing Systems 28. 2980--2988."},{"key":"e_1_3_2_1_5_1","volume-title":"Conference on Robot Learning. PMLR, 1--16","author":"Dosovitskiy Alexey","year":"2017","unstructured":"Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun. 2017. CARLA: An open urban driving simulator. In Conference on Robot Learning. PMLR, 1--16."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006545"},{"key":"e_1_3_2_1_7_1","volume-title":"Physically-interpretable classification of network dynamics for complex collective motions. Scientific Reports 10, 3005","author":"Fujii Keisuke","year":"2020","unstructured":"Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, and Yoshinobu Kawahara. 2020. Physically-interpretable classification of network dynamics for complex collective motions. Scientific Reports 10, 3005 (2020)."},{"key":"e_1_3_2_1_8_1","volume-title":"Policy learning with partial observation and mechanical constraints for multi-person modeling. arXiv preprint arXiv:2007.03155","author":"Fujii Keisuke","year":"2020","unstructured":"Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, and Kazuya Takeda. 2020. Policy learning with partial observation and mechanical constraints for multi-person modeling. arXiv preprint arXiv:2007.03155 (2020)."},{"key":"e_1_3_2_1_9_1","first-page":"11108","article-title":"Learning interaction rules from multi-animal trajectories via augmented behavioral models","volume":"34","author":"Fujii Keisuke","year":"2021","unstructured":"Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, and Yoshinobu Kawahara. 2021. Learning interaction rules from multi-animal trajectories via augmented behavioral models. Advances in Neural Information Processing Systems 34 (2021), 11108--11122.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2015.133"},{"key":"e_1_3_2_1_12_1","volume-title":"Neural Relational Inference for Interacting Systems. In International Conference on Machine Learning. 2688--2697","author":"Kipf Thomas","year":"2018","unstructured":"Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard Zemel. 2018. Neural Relational Inference for Interacting Systems. In International Conference on Machine Learning. 2688--2697."},{"key":"e_1_3_2_1_13_1","first-page":"7483","article-title":"Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks","volume":"18","author":"Lim Bryan","year":"2018","unstructured":"Bryan Lim, Ahmed M Alaa, and Mihaela van der Schaar. 2018. Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks. Advances in Neural Information Processing Systems 18 (2018), 7483--7493.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_14_1","volume-title":"Estimating Individual Treatment Effects with Time-Varying Confounders. In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 382--391","author":"Liu Ruoqi","year":"2020","unstructured":"Ruoqi Liu, Changchang Yin, and Ping Zhang. 2020. Estimating Individual Treatment Effects with Time-Varying Confounders. In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 382--391."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441818"},{"key":"e_1_3_2_1_16_1","volume-title":"Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball. arXiv preprint arXir.2206.01871","author":"Nakahara Hiroshi","year":"2022","unstructured":"Hiroshi Nakahara, Kazuya Takeda, and Keisuke Fujii. 2022. Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball. arXiv preprint arXir.2206.01871 (2022)."},{"key":"e_1_3_2_1_17_1","volume-title":"Pitching strategy evaluation via stratified analysis using propensity score. arXiv preprint arXiv.2208.03492","author":"Nakahara Hiroshi","year":"2022","unstructured":"Hiroshi Nakahara, Kazuya Takeda, and Keisuke Fujii. 2022. Pitching strategy evaluation via stratified analysis using propensity score. arXiv preprint arXiv.2208.03492 (2022)."},{"key":"e_1_3_2_1_18_1","unstructured":"Judea Pearl. 2009. Causality. Cambridge university press."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00803"},{"key":"e_1_3_2_1_20_1","volume-title":"Estimation of the causal effects of time-varying exposures. Longitudinal data analysis 553","author":"Robins James M","year":"2009","unstructured":"James M Robins and Miguel A Hem\u00e1n. 2009. Estimation of the causal effects of time-varying exposures. Longitudinal data analysis 553 (2009), 599."},{"key":"e_1_3_2_1_21_1","volume-title":"Miguel Angel Hernan, and Babette Brumback","author":"Robins James M","year":"2000","unstructured":"James M Robins, Miguel Angel Hernan, and Babette Brumback. 2000. Marginal structural models and causal inference in epidemiology."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/70.1.41"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxw029"},{"key":"e_1_3_2_1_24_1","volume-title":"Bayesian inference for causal effects: The role of randomization. The Annals of statistics","author":"Rubin Donald B","year":"1978","unstructured":"Donald B Rubin. 1978. Bayesian inference for causal effects: The role of randomization. The Annals of statistics (1978), 34--58."},{"key":"e_1_3_2_1_25_1","volume-title":"International Conference on Machine Learning. PMLR, 3076--3085","author":"Shalit Uri","year":"2017","unstructured":"Uri Shalit, Fredrik D Johansson, and David Sontag. 2017. Estimating individual treatment effect: generalization bounds and algorithms. In International Conference on Machine Learning. PMLR, 3076--3085."},{"key":"e_1_3_2_1_26_1","first-page":"14809","article-title":"Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling","volume":"34","author":"Takeishi Naoya","year":"2021","unstructured":"Naoya Takeishi and Alexandras Kalousis. 2021. Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling. Advances in Neural Information Processing Systems 34 (2021), 14809--14821.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems. 1290--1298","author":"Takeuchi Koh","year":"2021","unstructured":"Koh Takeuchi, Ryo Nishida, Hisashi Kashima, and Masaki Onishi. 2021. Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems. 1290--1298."},{"key":"e_1_3_2_1_28_1","volume-title":"Machine Learning for Healthcare Conference. PMLR, 282--300","author":"Xu Yanbo","year":"2016","unstructured":"Yanbo Xu, Yanxun Xu, and Suchi Saria. 2016. A Bayesian nonparametric approach for estimating individualized treatment-response curves. In Machine Learning for Healthcare Conference. PMLR, 282--300."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00474"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_32"}],"event":{"name":"SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems","location":"Seattle Washington","acronym":"SIGSPATIAL '22","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 30th International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557915.3560941","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3557915.3560941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:26Z","timestamp":1750182566000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557915.3560941"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":30,"alternative-id":["10.1145\/3557915.3560941","10.1145\/3557915"],"URL":"https:\/\/doi.org\/10.1145\/3557915.3560941","relation":{},"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"2022-11-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}