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08/04/2023
Krylov Subspace Recycling With Randomized Sketching For Matrix Functions
A Krylov subspace recycling method for the efficient evaluation of a seq...
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06/06/2023
A sketch-and-select Arnoldi process
A sketch-and-select Arnoldi process to generate a well-conditioned basis...
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12/15/2022
Exact fixed-radius nearest neighbor search with an application to clustering
Fixed-radius nearest-neighbor search is a common database operation that...
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11/22/2022
Randomized sketching of nonlinear eigenvalue problems
Rational approximation is a powerful tool to obtain accurate surrogates ...
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08/24/2022
Randomized sketching for Krylov approximations of large-scale matrix functions
The computation of f(A)b, the action of a matrix function on a vector, i...
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03/31/2022
Model order reduction of layered waveguides via rational Krylov fitting
Rational approximation recently emerged as an efficient numerical tool f...
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02/03/2022
Fast and explainable clustering based on sorting
We introduce a fast and explainable clustering method called CLASSIX. It...
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01/14/2022
An efficient aggregation method for the symbolic representation of temporal data
Symbolic representations are a useful tool for the dimension reduction o...
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11/19/2021
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit
Product quality assessment in the petroleum processing industry can be d...
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07/29/2021
Calculating elements of matrix functions using divided differences
We introduce a method for calculating individual elements of matrix func...
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07/05/2021
A comparison of LSTM and GRU networks for learning symbolic sequences
We explore relations between the hyper-parameters of a recurrent neural ...
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06/17/2021
Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit
Data pre-treatment plays a significant role in improving data quality, t...
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06/10/2020
A comparison of limited-memory Krylov methods for Stieltjes functions of Hermitian matrices
Given a limited amount of memory and a target accuracy, we propose and c...
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03/27/2020
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series
A new symbolic representation of time series, called ABBA, is introduced...
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03/13/2020
Algorithms for the rational approximation of matrix-valued functions
A selection of algorithms for the rational approximation of matrix-value...
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03/12/2020
Time Series Forecasting Using LSTM Networks: A Symbolic Approach
Machine learning methods trained on raw numerical time series data exhib...
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02/05/2020
