Jed A. Duersch

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fourier Transformers for Latent Crystallographic Diffusion and Generative Modeling.
CoRR
Jed A. Duersch, Elohan Veillon, Astrid Klipfel, Adlane Sayede, Zied Bouraoui
2024 J jnl
Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscape.
CoRR
Jed A. Duersch, Tommie A. Catanach, Alexander Safonov, Jeremy Wendt
2024 J jnl
Logical activation functions for training arbitrary probabilistic Boolean operations.
Inf. Sci.
Jed A. Duersch, Tommie A. Catanach, Niladri Das
2024 J jnl
Projective Integral Updates for High-Dimensional Variational Inference.
SIAM/ASA J. Uncertain. Quantification
Jed A. Duersch
2023 J jnl
An Efficient Quadrature Sequence and Sparsifying Methodology for Mean-Field Variational Inference.
CoRR
Jed A. Duersch
2022 J jnl
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic.
CoRR
Jed A. Duersch, Thomas A. Catanach, Niladri Das
2022 J jnl
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions.
CoRR
Niladri Das, Jed A. Duersch, Thomas A. Catanach
2022 — conf
Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions.
CDC
Niladri Das, Jed A. Duersch, Tommie A. Catanach
2021 J jnl
Parsimonious Inference.
CoRR
Jed A. Duersch, Thomas A. Catanach
2020 J jnl
Generalized Canonical Polyadic Tensor Decomposition.
SIAM Rev.
David Hong, Tamara G. Kolda, Jed A. Duersch
2020 J jnl
Generalizing Information to the Evolution of Rational Belief.
Entropy
Jed A. Duersch, Thomas A. Catanach
2020 J jnl
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.
CoRR
Jed A. Duersch, Ming Gu
2020 J jnl
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.
SIAM Rev.
Jed A. Duersch, Ming Gu
2019 J jnl
Generalizing Information to the Evolution of Rational Belief.
CoRR
Jed A. Duersch, Thomas A. Catanach
2018 J jnl
A Robust and Efficient Implementation of LOBPCG.
SIAM J. Sci. Comput.
Jed A. Duersch, Meiyue Shao, Chao Yang, Ming Gu
2018 J jnl
Generalized Canonical Polyadic Tensor Decomposition.
CoRR
David Hong, Tamara G. Kolda, Jed A. Duersch
2017 J jnl
Randomized QR with Column Pivoting.
SIAM J. Sci. Comput.
Jed A. Duersch, Ming Gu