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20192026
most citedDomain Adaptation for Time-Series Classification to Mitigate Covariate Shift

36 citations · 202 across the 35 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

quant-ph2023★ 16 cited

Optimal joint cutting of two-qubit rotation gates

Christian Ufrecht, Laura S. Herzog, Daniel D. Scherer +4

Circuit cutting, the partitioning of quantum circuits into smaller independent fragments, has become a promising avenue for scaling up current quantum-computing experiments. Here,…

eess.SP2023

Velocity-Based Channel Charting with Spatial Distribution Map Matching

Maximilian Stahlke, George Yammine, Tobias Feigl +2

Fingerprint-based localization improves the positioning performance in challenging, non-line-of-sight (NLoS) dominated indoor environments. However, fingerprinting models require a…

cs.LG2023★ 6 cited

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML

Mark Deutel, Georgios Kontes, Christopher Mutschler +1

Deploying deep neural networks (DNNs) on microcontrollers (TinyML) is a common trend to process the increasing amount of sensor data generated at the edge, but in practice, resourc…

cs.CV2023★ 8 cited

Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments

Felix Ott, Lucas Heublein, David Rügamer +2

The localization of objects is a crucial task in various applications such as robotics, virtual and augmented reality, and the transportation of goods in warehouses. Recent advance…

cs.CV2023★ 5 cited

Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition

Felix Ott, David Rügamer, Lucas Heublein +2

The performance of a machine learning model degrades when it is applied to data from a similar but different domain than the data it has initially been trained on. The goal of doma…