| FPGA accelerated INDEL realignment in the cloud L Wu, D Bruns-Smith, FA Nothaft, Q Huang, S Karandikar, J Le, A Lin, ... 2019 IEEE International Symposium on High Performance Computer Architecture …, 2019 | 44 | 2019 |
| Memory-efficient parallel tensor decompositions M Baskaran, T Henretty, B Pradelle, MH Langston, D Bruns-Smith, J Ezick, ... 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017 | 32 | 2017 |
| Genesis: A hardware acceleration framework for genomic data analysis TJ Ham, D Bruns-Smith, B Sweeney, Y Lee, SH Seo, UG Song, YH Oh, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 30 | 2020 |
| Enhancing network visibility and security through tensor analysis MM Baskaran, T Henretty, J Ezick, R Lethin, D Bruns-Smith Future Generation Computer Systems 96, 207-215, 2019 | 18 | 2019 |
| Cyber security through multidimensional data decompositions D Bruns-Smith, MM Baskaran, J Ezick, T Henretty, R Lethin 2016 Cybersecurity Symposium (CYBERSEC), 59-67, 2016 | 18 | 2016 |
| A quantitative and qualitative analysis of tensor decompositions on spatiotemporal data T Henretty, M Baskaran, J Ezick, D Bruns-Smith, TA Simon 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017 | 17 | 2017 |
| Accelerated low-rank updates to tensor decompositions M Baskaran, MH Langston, T Ramananandro, D Bruns-Smith, T Henretty, ... 2016 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2016 | 13 | 2016 |
| Systems and methods for selective expansive recursive tensor analysis MM Baskaran, D Bruns-Smith, J Ezick, RA Lethin US Patent 10,824,693, 2020 | 12 | 2020 |
| Model-free and model-based policy evaluation when causality is uncertain DA Bruns-Smith International Conference on Machine Learning, 1116-1126, 2021 | 10 | 2021 |
| Genesis: a hardware acceleration framework for genomic data analysis. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) TJ Ham, D Bruns-Smith, B Sweeney, Y Lee, SH Seo, UG Song, YH Oh, ... IEEE, 2020 | 8 | 2020 |
| Outcome assumptions and duality theory for balancing weights DA Bruns-Smith, A Feller International Conference on Artificial Intelligence and Statistics, 11037-11055, 2022 | 7 | 2022 |
| Robust fitted-q-evaluation and iteration under sequentially exogenous unobserved confounders D Bruns-Smith, A Zhou arXiv preprint arXiv:2302.00662, 2023 | 6 | 2023 |
| Augmented balancing weights as undersmoothed regressions D Bruns-Smith, O Dukes, A Feller, EL Ogburn Cited on, 3, 2023 | 5 | 2023 |
| Accelerating genomic data analytics with composable hardware acceleration framework TJ Ham, Y Lee, SH Seo, UG Song, JW Lee, D Bruns-Smith, B Sweeney, ... IEEE Micro 41 (3), 42-49, 2021 | 5 | 2021 |
| Johnny Le, Andrew Lin, Howard Mao, Brendan Sweeney, Krste Asanović, David A. Patterson, and Anthony D. Joseph. 2019. FPGA Accelerated INDEL Realignment in the Cloud L Wu, D Bruns-Smith, FA Nothaft, Q Huang, S Karandikar 2019 IEEE International Symposium on High Performance Computer Architecture …, 2019 | 5 | 2019 |
| Augmented balancing weights as linear regression D Bruns-Smith, O Dukes, A Feller, EL Ogburn arXiv preprint arXiv:2304.14545, 2023 | 3 | 2023 |
| Systems and methods for selective expansive recursive tensor analysis MM Baskaran, D Bruns-Smith, J Ezick, RA Lethin US Patent 11,520,856, 2022 | 1 | 2022 |
| Tailored Overlap for Learning Under Distribution Shift D Bruns-Smith, A D'Amour, A Feller, S Yadlowsky NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 1 | 2022 |
| Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks D Bruns-Smith, A Feller, E Nakamura Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | | 2023 |
| When Can We Achieve Small Error in Observational Causal Inference? D Bruns-Smith | | |
