{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T07:55:10Z","timestamp":1776930910340,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,16]]},"DOI":"10.1145\/3731599.3767343","type":"proceedings-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T16:13:44Z","timestamp":1762532024000},"page":"29-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Inverse Design for Generating Initial Conditions in Scientific Simulations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9176-6447","authenticated-orcid":false,"given":"Leslie","family":"Horace","sequence":"first","affiliation":[{"name":"College of Computing, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6862-9196","authenticated-orcid":false,"given":"Christin","family":"Whitton","sequence":"additional","affiliation":[{"name":"High Performance Computing Design, Los Alamos National Laboratory, Los Alamos, NM, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3240-5999","authenticated-orcid":false,"given":"Vanessa","family":"Job","sequence":"additional","affiliation":[{"name":"High Performance Computing Design, Los Alamos National Laboratory, Los Alamos, NM, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3796-6330","authenticated-orcid":false,"given":"William","family":"Jones","sequence":"additional","affiliation":[{"name":"Department of Computing Sciences, Coastal Carolina University, Conway, SC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5593-9205","authenticated-orcid":false,"given":"Nathan","family":"DeBardeleben","sequence":"additional","affiliation":[{"name":"High Performance Computing Design, Los Alamos National Laboratory, Los Alamos, NM, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,15]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"e_1_3_3_2_3_2","unstructured":"Lynton Ardizzone Carsten L\u00fcth Jakob Kruse Carsten Rother and Ullrich K\u00f6the. 2019. Guided image generation with conditional invertible neural networks. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1907.02392 (2019)."},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Simon\u00a0R. Arridge Peter Maass Ozan \u00d6ktem and Carola-Bibiane Sch\u00f6nlieb. 2019. Solving inverse problems using data-driven models. Acta Numerica 28 (2019) 1\u2013174. 10.1017\/S0962492919000059","DOI":"10.1017\/S0962492919000059"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"J. Crank and P. Nicolson. 1947. A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. Proceedings of the Cambridge Philosophical Society 43 (1947) 50\u201367.","DOI":"10.1017\/S0305004100023197"},{"key":"e_1_3_3_2_6_2","volume-title":"3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings","author":"Dinh Laurent","year":"2015","unstructured":"Laurent Dinh, David Krueger, and Yoshua Bengio. 2015. NICE: Non-linear Independent Components Estimation. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1410.8516"},{"key":"e_1_3_3_2_7_2","volume-title":"International Conference on Learning Representations (ICLR)","author":"Dinh Laurent","year":"2017","unstructured":"Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio. 2017. Density Estimation using Real NVP. In International Conference on Learning Representations (ICLR). https:\/\/openreview.net\/forum?id=HkpbnH9lx Poster."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","unstructured":"Alessandro Formisano and Mauro Tucci. 2024. Machine Learning Approaches for Inverse Problems and Optimal Design in Electromagnetism. Electronics 13 7 (2024). 10.3390\/electronics13071167","DOI":"10.3390\/electronics13071167"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1017\/9781108333511"},{"key":"e_1_3_3_2_10_2","unstructured":"Leslie Horace. 2025. esp_simulation: Electrostatic-potential simulation for creating datasets (version v2.4.1). https:\/\/github.com\/lezahlie\/esp_simulation\/releases\/tag\/v2.4.1. GitHub repository Release v2.4.1."},{"key":"e_1_3_3_2_11_2","unstructured":"Leslie Horace. 2025. heat_diffusion_simulation: Heat diffusion simulation for creating datasets (version v1.0.0). https:\/\/github.com\/lezahlie\/heat_diffusion_simulation\/releases\/tag\/v1.0.0. GitHub repository Release v1.0.0."},{"key":"e_1_3_3_2_12_2","first-page":"10236","volume-title":"Advances in Neural Information Processing Systems","author":"Kingma Diederik\u00a0P.","year":"2018","unstructured":"Diederik\u00a0P. Kingma and Prafulla Dhariwal. 2018. Glow: Generative Flow with Invertible 1x1 Convolutions. In Advances in Neural Information Processing Systems , S.\u00a0Bengio, H.\u00a0Wallach, H.\u00a0Larochelle, K.\u00a0Grauman, N.\u00a0Cesa-Bianchi, and R.\u00a0Garnett (Eds.), Vol.\u00a031. Curran Associates, Inc., 10236\u201310245. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2018\/file\/d139db6a236200b21cc7f752979132d0-Paper.pdf"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","unstructured":"Jakob Kruse Lynton Ardizzone Carsten Rother and Ullrich K\"othe. 2021. Benchmarking Invertible Architectures on Inverse Problems. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2101.10763 (2021). 10.48550\/arXiv.2101.10763","DOI":"10.48550\/arXiv.2101.10763"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898717839"},{"key":"e_1_3_3_2_15_2","volume-title":"International Conference on Learning Representations","author":"Loshchilov Ilya","year":"2019","unstructured":"Ilya Loshchilov and Frank Hutter. 2019. Decoupled Weight Decay Regularization. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=Bkg6RiCqY7"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Govinda\u00a0Anantha Padmanabha and Nicholas Zabaras. 2021. Solving inverse problems using conditional invertible neural networks. J. Comput. Phys. 433 (2021) 110194. 10.1016\/j.jcp.2021.110194","DOI":"10.1016\/j.jcp.2021.110194"},{"key":"e_1_3_3_2_17_2","unstructured":"George Papamakarios Eric Nalisnick Danilo\u00a0Jimenez Rezende Shakir Mohamed and Balaji Lakshminarayanan. 2021. Normalizing Flows for Probabilistic Modeling and Inference. Journal of Machine Learning Research 22 57 (2021) 1\u201364."},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1912.01703"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"Bobak Shahriari Kevin Swersky Ziyu Wang Ryan\u00a0P. Adams and Nando de Freitas. 2016. Taking the Human Out of the Loop: A Review of Bayesian Optimization. Proc. IEEE 104 1 (2016) 148\u2013175. 10.1109\/JPROC.2015.2494218","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"e_1_3_3_2_20_2","volume-title":"Partial Differential Equations: An Introduction (2nd ed.)","author":"Strauss Walter\u00a0A.","year":"2007","unstructured":"Walter\u00a0A. Strauss. 2007. Partial Differential Equations: An Introduction (2nd ed.). John Wiley & Sons. Chapter 1: The Heat Equation."},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"crossref","unstructured":"Yunfei Teng and Anna Choromanska. 2019. Invertible autoencoder for domain adaptation. Computation 7 2 (2019) 20.","DOI":"10.3390\/computation7020020"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","unstructured":"Justin\u00a0S. Wang John\u00a0S. Hyatt and Michael Fish. 2024. Using conditional normalizing flows to generate material placements in an optimized thermal composite. International Journal of Heat and Mass Transfer 224 (2024) 125287. 10.1016\/j.ijheatmasstransfer.2024.125287","DOI":"10.1016\/j.ijheatmasstransfer.2024.125287"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","unstructured":"Tao Zhang Xiang Tian XueChao Liu JianAn Ye Feng Fu XueTao Shi RuiGang Liu and CanHua Xu. 2022. Advances of Deep Learning in Electrical Impedance Tomography Image Reconstruction. Frontiers in Bioengineering and Biotechnology 10 (2022) 1019531. 10.3389\/fbioe.2022.1019531","DOI":"10.3389\/fbioe.2022.1019531"}],"event":{"name":"SC Workshops '25: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","location":"St Louis MO USA","acronym":"SC Workshops '25","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing"]},"container-title":["Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3731599.3767343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T19:28:35Z","timestamp":1767986915000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3731599.3767343"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,15]]},"references-count":22,"alternative-id":["10.1145\/3731599.3767343","10.1145\/3731599"],"URL":"https:\/\/doi.org\/10.1145\/3731599.3767343","relation":{},"subject":[],"published":{"date-parts":[[2025,11,15]]},"assertion":[{"value":"2025-11-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}