Lukas Einhaus

According to our database, Lukas Einhaus authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Precomputed 1D-CNNs for Atrial Fibrillation Detection on Tiny Smart Sensor Systems.

Lukas Einhaus, Natalie Maman, Julian Hoever, Andreas Erbslöh, Gregor Schiele

CoRR, May, 2026

2023

A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs.

Tianheng Ling, Chao Qian, Lukas Einhaus, Gregor Schiele

CoRR, 2023

2022

ElasticAI-Creator: Optimizing Neural Networks for Time-Series-Analysis for on-Device Machine Learning in IoT Systems.

Chao Qian, Lukas Einhaus, Gregor Schiele

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

2021

Elastic AI: system support for adaptive machine learning in pervasive computing systems.

Christopher Cichiwskyj, Stephan Schmeißer, Chao Qian, Lukas Einhaus, Christopher Ringhofer, Gregor Schiele

CCF Trans. Pervasive Comput. Interact., 2021

Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs.

Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial).

Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021