| Generalized canonical polyadic tensor decomposition D Hong, TG Kolda, JA Duersch SIAM Review 62 (1), 133-163, 2020 | 144 | 2020 |
| Randomized QR with column pivoting JA Duersch, M Gu SIAM Journal on Scientific Computing 39 (4), C263-C291, 2017 | 85 | 2017 |
| A robust and efficient implementation of LOBPCG JA Duersch, M Shao, C Yang, M Gu SIAM Journal on Scientific Computing 40 (5), C655-C676, 2018 | 51 | 2018 |
| True BLAS-3 performance QRCP using random sampling JA Duersch, M Gu arXiv preprint arXiv:1509.06820 10, 2015 | 21 | 2015 |
| Randomized projection for rank-revealing matrix factorizations and low-rank approximations JA Duersch, M Gu SIAM Review 62 (3), 661-682, 2020 | 19 | 2020 |
| Generalizing information to the evolution of rational belief JA Duersch, TA Catanach Entropy 22 (1), 108, 2020 | 12 | 2020 |
| Parsimonious inference JA Duersch, TA Catanach arXiv preprint arXiv:2103.02165, 2021 | 2 | 2021 |
| Adaptive n-ary Activation Functions for Probabilistic Boolean Logic JA Duersch, TA Catanach, N Das arXiv preprint arXiv:2203.08977, 2022 | 1 | 2022 |
| High Efficiency Spectral Analysis and BLAS-3 Randomized QRCP with Low-Rank Approximations JA Duersch University of California, Berkeley, 2015 | 1 | 2015 |
| Projective Integral Updates for High-Dimensional Variational Inference JA Duersch SIAM/ASA Journal on Uncertainty Quantification 12 (1), 69-100, 2024 | | 2024 |
| Logical activation functions for training arbitrary probabilistic boolean operations JA Duersch, TA Catanach, N Das Information Sciences, 120304, 2024 | | 2024 |
| RASP Quadratures: Efficient Numerical Integration for High-Dimensional Mean-Field Variational Inference JA Duersch, E Datta, A Safonov | | 2023 |
| An Efficient Quadrature Sequence and Sparsifying Methodology for Mean-Field Variational Inference. JA Duersch CoRR, 2023 | | 2023 |
| Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions N Das, JA Duersch, TA Catanach 2022 IEEE 61st Conference on Decision and Control (CDC), 7522-7528, 2022 | | 2022 |
| Generalized CP Decomposition for Alternative Loss Functions. TG Kolda, CI Anderson-Bergman, JA Duersch, D Hong Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018 | | 2018 |
| Efficient CP-ALS and Reconstruction From CP. JA Duersch, TG Kolda Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018 | | 2018 |
David HongAssistant Professor, Department of Electrical and Computer Engineering, University of DelawareVerified email at udel.edu
