Papers matching “neural network accelerators” 68
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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 -
Smartphone video nystagmography using convolutional neural networks: ConVNG2022 Journal of Neurology article Computer Science Gaze Tracking and Assistive Technology Open access cited by 1 patent
Maximilian Uwe Friedrich, Erich Schneider, Miriam Buerklein, Johannes Taeger, Johannes Hartig, Jens Volkmann, +2 more
44citations -
Toward Efficient Eye Tracking in AR/VR Devices: A Near-Eye DVS-Based Processor for Real-Time Gaze Estimation2025 IEEE Transactions on Circuits and Systems I Regular Papers article Computer Science Gaze Tracking and Assistive Technology
Shihang Tan, Jinqiao Yang, Jiayu Huang, Ziyi Yang, Qinyu Chen, Li‐Rong Zheng, +1 more
12citations -
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 -
EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer2024 IEEE International System-on-Chip Conference (SOCC) conference-paper Computer Science Advanced Neural Network Applications Open access
Yi Chen, Jie Lou, Malte Wabnitz, Johnson Loh, Tobias Gemmeke
7citations -
ALOHA: A Unified Platform-Aware Evaluation Method for CNNs Execution on Heterogeneous Systems at the Edge2021 IEEE Access article Computer Science Advanced Neural Network Applications Open access cited by 1 patent
Paola Busia, Svetlana Minakova, Todor P. Stefanov, Luigi Raffo, Paolo Meloni
9citations -
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access
Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael P. Schaub, +4 more
0citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
4citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
0citations -
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-dimensional optimization2025 Nature Communications article Computer Science Computational Drug Discovery Methods Open access
David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more
8citations