18 citations · 27 across the 8 of their papers we have counts for
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cs.LG2023
Improving the Validity of Decision Trees as Explanations
Jiri Nemecek, Tomas Pevny, Jakub Marecek
In classification and forecasting with tabular data, one often utilizes tree-based models. Those can be competitive with deep neural networks on tabular data and, under some condit…
cs.LG2018
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
Philipp Haehnel, Jakub Marecek, Julien Monteil +1
Across numerous applications, forecasting relies on numerical solvers for partial differential equations (PDEs). Although the use of deep-learning techniques has been proposed, act…
cs.LG2018
Robust Spectral Filtering and Anomaly Detection
Jakub Marecek, Tigran Tchrakian
We consider a setting, where the output of a linear dynamical system (LDS) is, with an unknown but fixed probability, replaced by noise. There, we present a robust method for the p…