| Error-bounded learned scientific data compression with preservation of derived quantities J Lee, Q Gong, J Choi, T Banerjee, S Klasky, S Ranka, A Rangarajan Applied Sciences 12 (13), 6718, 2022 | 19 | 2022 |
| Neural data compression for physics plasma simulation J Choi, M Churchill, Q Gong, SH Ku, J Lee, A Rangarajan, S Ranka, ... Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021 | 8 | 2021 |
| An algorithmic and software pipeline for very large scale scientific data compression with error guarantees T Banerjee, J Choi, J Lee, Q Gong, R Wang, S Klasky, A Rangarajan, ... 2022 IEEE 29th International Conference on High Performance Computing, Data …, 2022 | 7 | 2022 |
| Expressing linear equality constraints in feedforward neural networks A Rangarajan, P He, J Lee, T Banerjee, S Ranka arXiv preprint arXiv:2211.04395, 2022 | 5 | 2022 |
| Scalable hybrid learning techniques for scientific data compression T Banerjee, J Choi, J Lee, Q Gong, J Chen, S Klasky, A Rangarajan, ... arXiv preprint arXiv:2212.10733, 2022 | 4 | 2022 |
| MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Q Gong, J Chen, B Whitney, X Liang, V Reshniak, T Banerjee, J Lee, ... SoftwareX 24, 101590, 2023 | 3 | 2023 |
| Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders J Lee, A Rangarajan, S Ranka Proceedings of the 2023 Fifteenth International Conference on Contemporary …, 2023 | 3 | 2023 |
| Machine Learning Techniques for Data Reduction of Climate Applications X Li, Q Gong, J Lee, S Klasky, A Rangarajan, S Ranka arXiv preprint arXiv:2405.00879, 2024 | | 2024 |
| Machine Learning Techniques for Data Reduction of CFD Applications J Lee, KS Jung, Q Gong, X Li, S Klasky, J Chen, A Rangarajan, S Ranka arXiv preprint arXiv:2404.18063, 2024 | | 2024 |
| Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders J Lee, A Rangarajan, S Ranka 2024 Data Compression Conference (DCC), 566-566, 2024 | | 2024 |
| Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications X Li, Q Gong, J Lee, S Klasky, A Rangarajan, S Ranka 2024 Data Compression Conference (DCC), 567-567, 2024 | | 2024 |
| Fast Algorithms for Scientific Data Compression T Banerjee, J Lee, J Choi, Q Gong, J Chen, S Klasky, A Rangarajan, ... 2023 IEEE 30th International Conference on High Performance Computing, Data …, 2023 | | 2023 |
| Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest T Banerjee, J Lee, J Choi, Q Gong, J Chen, C Chang, S Klasky, ... 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | | 2023 |
| Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators J Lee, A Rangarajan, S Ranka Proceedings of the 2023 Fifteenth International Conference on Contemporary …, 2023 | | 2023 |
| Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression J Lee, A Rangarajan, S Ranka 2023 Data Compression Conference (DCC), 347-347, 2023 | | 2023 |
| Hybrid Generative Models for Two-Dimensional Datasets H Shajari, J Lee, S Ranka, A Rangarajan Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | | 2021 |
| A Hidden Variables Approach to Multilabel Logistic Regression J Lee, H Shajari arXiv preprint arXiv:1912.01241, 2019 | | 2019 |
| Electronic device with antenna device JL Kyung-Moon SeoL, Ji-ho Kim, Jae-Won Choe, Gyu-Bok Park US Patent US9813099B2, 2017 | | 2017 |
