Sebastian Vogel

Orcid: 0000-0002-9625-8510

According to our database1, Sebastian Vogel authored at least 25 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge.
CoRR, 2024

2023
Towards an interoperability roadmap for the energy transition.
Elektrotech. Informationstechnik, August, 2023

Modellierung des organischen Kohlenstoffs in Ackerböden.
Proceedings of the 43. GIL-Jahrestagung, 2023

Quantization-Aware Neural Architecture Search with Hyperparameter Optimization for Industrial Predictive Maintenance Applications.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

BOMP- NAS: Bayesian Optimization Mixed Precision NAS.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Determination of Nutrients in Liquid Manures and Biogas Digestates by Portable Energy-Dispersive X-ray Fluorescence Spectrometry.
Sensors, 2021

2020
Automated design of error-resilient and hardware-efficient deep neural networks.
Neural Comput. Appl., 2020

2019
Evaluating Soil-Borne Causes of Biomass Variability in Grassland by Remote and Proximal Sensing.
Sensors, 2019

An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models.
Proceedings of the INTESA 2019 Proceedings, 2019

Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

Bit-Shift-Based Accelerator for CNNs with Selectable Accuracy and Throughput.
Proceedings of the 22nd Euromicro Conference on Digital System Design, 2019

Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base.
Proceedings of the International Conference on Computer-Aided Design, 2018

Präzise Kalkung durch Integration hochauflösender Bodensensordaten.
Proceedings of the Informatik in der Land-, 2018

2017
Efficient hardware acceleration for approximate inference of bitwise deep neural networks.
Proceedings of the 2017 Conference on Design and Architectures for Signal and Image Processing, 2017

2016
Kieker4DQL: Declarative Performance Measurement.
Softwaretechnik-Trends, 2016

Efficient Stochastic Inference of Bitwise Deep Neural Networks.
CoRR, 2016

2015
Decentral allocation planning in multi-stage customer hierarchies.
Eur. J. Oper. Res., 2015

2011
A Security Scheme for Dependable Key Insertion in Mobile Embedded Devices.
Int. J. Reconfigurable Comput., 2011

Regular and Chaotic Dynamics in Bouncing Ball Models.
Int. J. Bifurc. Chaos, 2011

Hyperelliptic Curve Cryptoarchitecture for Fast Execution of Schnorr and Okamoto Authentication Protocols.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

2006
Closed form solution for optimal buffer sizing using the Weierstrass elliptic function.
Proceedings of the 2006 Conference on Asia South Pacific Design Automation: ASP-DAC 2006, 2006

2002
Model-based configuration of VPNs.
Proceedings of the Management Solutions for the New Communications World, 2002


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