1 code implementation • 28 May 2024 • Robert Leppich, Vanessa Borst, Veronika Lesch, Samuel Kounev
Central to this concept is the self-supervised pretraining of Time Series Representation Models (TSRMs), which once learned can be easily tailored and fine-tuned for specific tasks, such as forecasting and imputation, in an automated and resource-efficient manner.
no code implementations • 4 Jan 2024 • André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian Foster
This work surveys 417 Synthetic Data Generation (SDG) models over the last decade, providing a comprehensive overview of model types, functionality, and improvements.
no code implementations • 26 Sep 2023 • André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian Foster
In many areas of decision-making, forecasting is an essential pillar.
no code implementations • 23 Nov 2021 • Veronika Lesch, Patrick B. M. Müller, Moritz Krämer, Samuel Kounev, Christian Krupitzer
However, most of these approaches focus on a single economic objective at once and disregard ergonomic criteria in their optimization.
no code implementations • 17 Nov 2021 • Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer
In the last decades, the classical Vehicle Routing Problem (VRP), i. e., assigning a set of orders to vehicles and planning their routes has been intensively researched.
no code implementations • 5 Feb 2020 • Christian Krupitzer, Tim Wagenhals, Marwin Züfle, Veronika Lesch, Dominik Schäfer, Amin Mozaffarin, Janick Edinger, Christian Becker, Samuel Kounev
Production issues at Volkswagen in 2016 lead to dramatic losses in sales of up to 400 million Euros per week.