Johanna Fröhlich
Professorship for Information Transmission
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Machine Learning, Explainable Artificial Intelligence, Computation Coding, Computational Efficiency
Johanna Fröhlich earned her B.Sc. in Electrical Engineering in 2022 and her M.Sc. in Advanced Signal Processing and Communications Engineering in 2024 both from Friedrich-Alexander-Universität Erlangen-Nürnberg in Germany. She also spent time at Norwegian University of Science and Technology in Trondheim, Norway during her studies.
Since October 2024, she is pursuing her PhD in Erlangen, Germany. Prior to that she had been working as a student and teaching assistant for fundamentals of electrical engineering and mathematics. Her research interests include computational efficiency for artificial intelligence, with a particular focus on pruning and inference, as well as explainable artificial intelligence methods.
2026
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The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning
In: Transactions on Machine Learning Research (2026)
ISSN: 2835-8856
URL: https://openreview.net/forum?id=UP9bx1WJwR
BibTeX: Download
2025
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Spicing Up LLMs: The Role of PAPRICA Pruning in Linear Computation Coding
3rd IEEE Conference on Artificial Intelligence, CAI 2025 (Santa Clara, CA, USA, May 2025 - May 2025)
In: Proceedings - 2025 IEEE Conference on Artificial Intelligence, CAI 2025 2025
DOI: 10.1109/CAI64502.2025.00064
BibTeX: Download - , , , , :
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
2025 IEEE Statistical Signal Processing Workshop (SSP) (Edinburgh, June 2025 - June 2025)
In: 2025 IEEE Statistical Signal Processing Workshop (SSP), New York City: 2025
DOI: 10.1109/SSP64130.2025.11073129
BibTeX: Download
2023
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Linear Computation Coding: Exponential Search and Reduced-State Algorithms
2023 Data Compression Conference, DCC 2023 (Snowbird, UT, March 2023 - March 2023)
In: Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer (ed.): Data Compression Conference Proceedings 2023
DOI: 10.1109/DCC55655.2023.00038
BibTeX: Download
- : Journal to Conference Certification (Transactions on Machine Learning Research) – 2026
- : Fritz und Maria Hofmann-Preis (Fritz und Maria Hofmann-Stiftung) – 2026
- : Best Paper - Sustainability (IEEE Computer Society) – 2025
- : 2. Platz des Green ICT Awards (Forschungsfabrik Mikroelektronik Deutschland) – 2024