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Unified field theoretical approach to deep and recurrent neuronal networks2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access
Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias
17citations -
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications2025 JuSER (Forschungszentrum Jülich) preprint Computer Science Advanced Neural Network Applications Open access
Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov, Qader Dorosti, Chimezie Eguzo, Sarah Fleitmann, +3 more
0citations -
Parallel Golomb-Rice Decoder with 8-bit Unary Decoding for Weight Compression in TinyML Applications2023 Euromicro Conference on Digital System Design (DSD) conference-paper Computer Science Advanced Data Compression Techniques
Mounika Vaddeboina, Endri Kaja, Alper Yilmayer, Sebastian Siegfried Prebeck, Wolfgang Ecker
2citations -
ConfASR: A Conformer Block Accelerator for Speech Recognition Optimized for Edge Devices2026 Asia and South Pacific Design Automation Conference (ASP-DAC) conference-paper Computer Science Advanced Neural Network Applications
Malte Wabnitz, M. Nilovic, Finn Scholz, Dominik Friedrich, Christian Lanius, Jie Lou, +1 more
1citations -
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching2025 neural information processing systems conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Zhong Li, Qi Zhong Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Bas van Stein, +1 more
1citations -
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations