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ORCIDJed A. Duersch
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2020 – today
- 2024
[j7]Jed A. Duersch
, Tommie A. Catanach, Niladri Das:
Logical activation functions for training arbitrary probabilistic Boolean operations. Inf. Sci. 664: 120304 (2024)- [j6]Jed A. Duersch:
Projective Integral Updates for High-Dimensional Variational Inference. SIAM/ASA J. Uncertain. Quantification 12(1): 69-100 (2024) - 2023
- [i7]Jed A. Duersch:
An Efficient Quadrature Sequence and Sparsifying Methodology for Mean-Field Variational Inference. CoRR abs/2301.08374 (2023) - 2022
- [c1]Niladri Das, Jed A. Duersch, Tommie A. Catanach:
Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions. CDC 2022: 7522-7528 - [i6]Jed A. Duersch, Thomas A. Catanach, Niladri Das:
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic. CoRR abs/2203.08977 (2022) - [i5]Niladri Das, Jed A. Duersch, Thomas A. Catanach:
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions. CoRR abs/2204.13089 (2022) - 2021
- [i4]Jed A. Duersch, Thomas A. Catanach:
Parsimonious Inference. CoRR abs/2103.02165 (2021) - 2020
- [j5]Jed A. Duersch, Thomas A. Catanach:
Generalizing Information to the Evolution of Rational Belief. Entropy 22(1): 108 (2020) - [j4]David Hong, Tamara G. Kolda, Jed A. Duersch:
Generalized Canonical Polyadic Tensor Decomposition. SIAM Rev. 62(1): 133-163 (2020) - [j3]Jed A. Duersch, Ming Gu:
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations. SIAM Rev. 62(3): 661-682 (2020) - [i3]Jed A. Duersch, Ming Gu:
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations. CoRR abs/2008.04447 (2020)
2010 – 2019
- 2019
- [i2]Jed A. Duersch, Thomas A. Catanach:
Generalizing Information to the Evolution of Rational Belief. CoRR abs/1911.09559 (2019) - 2018
- [j2]Jed A. Duersch, Meiyue Shao, Chao Yang, Ming Gu:
A Robust and Efficient Implementation of LOBPCG. SIAM J. Sci. Comput. 40(5): C655-C676 (2018) - [i1]David Hong, Tamara G. Kolda, Jed A. Duersch:
Generalized Canonical Polyadic Tensor Decomposition. CoRR abs/1808.07452 (2018) - 2017
- [j1]Jed A. Duersch, Ming Gu:
Randomized QR with Column Pivoting. SIAM J. Sci. Comput. 39(4) (2017)
Coauthor Index
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