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Jed Duersch
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Year
Generalized canonical polyadic tensor decomposition
D Hong, TG Kolda, JA Duersch
SIAM Review 62 (1), 133-163, 2020
1002020
Randomized QR with column pivoting
JA Duersch, M Gu
SIAM Journal on Scientific Computing 39 (4), C263-C291, 2017
632017
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
322018
True BLAS-3 performance QRCP using random sampling
JA Duersch, M Gu
arXiv preprint arXiv:1509.06820 10, 2015
192015
Randomized projection for rank-revealing matrix factorizations and low-rank approximations
JA Duersch, M Gu
SIAM Review 62 (3), 661-682, 2020
162020
Generalizing information to the evolution of rational belief
JA Duersch, TA Catanach
Entropy 22 (1), 108, 2020
52020
High Efficiency Spectral Analysis and BLAS-3 Randomized QRCP with Low-Rank Approximations
JA Duersch
University of California, Berkeley, 2015
12015
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions
N Das, JA Duersch, TA Catanach
arXiv preprint arXiv:2204.13089, 2022
2022
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic
JA Duersch, TA Catanach, N Das
arXiv preprint arXiv:2203.08977, 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
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Articles 1–11