Alexander Frickenstein

Researcher, BMW Deutschland

Joined

December 2019

Names

Alexander Frickenstein (Preferred)

Emails

****@bmw.de (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

BMW Deutschland (bmw.de)

2022 – 2026

PhD student

Technical University Munich (tum.de)

2019 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Walter Stechele

2018 – 2022

Expertise

Pruning

Present

Quantization

Present

HW-CNN Co-Design

Present

Publications

Breakingbed: Breaking binary and efficient deep neural networks by adversarial attacks
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
- Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys) Volume 1
- Readers: Everyone
Adversarial robust model compression using in-train pruning
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (Workshop SAIAD)
- Readers: Everyone
Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge
Pierpaolo Morì, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone
- WACV 2024
- Readers: Everyone
WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration
Pierpaolo Morì, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone
- Published: 01 Jan 2023, Last Modified: 02 Nov 2023
- DAC 2023
- Readers: Everyone
The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective
Fabian Kempf, Julian Höfer, Tanja Harbaum, Jürgen Becker, Nael Fasfous, Alexander Frickenstein, Hans-Jörg Vögel, Simon Friedrich, Robert Wittig, Emil Matús, Gerhard P. Fettweis, Matthias Lüders, Holger Blume, Jens Benndorf, Darius Grantz, Martin Zeller, Dietmar Engelke, Karl-Heinz Eickel
- Published: 01 Jan 2023, Last Modified: 02 Nov 2023
- DATE 2023
- Readers: Everyone
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Julian Höfer, Anmol Singh, Naveen Shankar Nagaraja, Hans-Jörg Vögel, Nguyen Anh Vu Doan, Maurizio Martina, Jürgen Becker, Walter Stechele
- 2022 (modified: 04 Nov 2022)
- DATE 2022
- Readers: Everyone
Accelerating and pruning CNNs for semantic segmentation on FPGA
Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone
- 2022 (modified: 04 Nov 2022)
- DAC 2022
- Readers: Everyone
Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs
Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele
- 2022 (modified: 04 Nov 2022)
- DATE 2022
- Readers: Everyone
Accelerating and pruning CNNs for semantic segmentation on FPGA
Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone
- 2022 (modified: 04 Nov 2022)
- DAC 2022
- Readers: Everyone
HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
- 2022 (modified: 21 Feb 2023)
- Leibniz Trans. Embed. Syst. 2022
- Readers: Everyone

View all 32 publications

Co-Authors

View all 55 co-authors