Lukas Einhaus

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Pervasive Computing

Areas Of Artificial Intelligence

Machine Learning

Top Venues

PKDD/ECML Workshops (1)

Publications

Tianheng Ling, Chao Qian, Lukas Einhaus, Gregor Schiele
A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs. CoRR (2023)
Chao Qian, Lukas Einhaus, Gregor Schiele
ElasticAI-Creator: Optimizing Neural Networks for Time-Series-Analysis for on-Device Machine Learning in IoT Systems. SenSys (2022)
Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele
In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial). ACSOS-C (2021)
Christopher Cichiwskyj, Stephan Schmeißer, Chao Qian, Lukas Einhaus, Christopher Ringhofer, Gregor Schiele
Elastic AI: system support for adaptive machine learning in pervasive computing systems. CCF Trans. Pervasive Comput. Interact. 3 (3) (2021)
Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele
Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs. PKDD/ECML Workshops (1) (2021)