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Papers matching “neural network quantization” 48

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Vehicle Surroundings Perception Using Micro‐electromechanical Systems Inertial Sensors
2024 Advanced Intelligent Systems article Computer Science Context-Aware Activity Recognition Systems Open access

Johnson Loh, Mike Schwarz, Max C. Lemme, Tobias Gemmeke

0

citations
APPLYING PQUANTML TO LARGE ARCHITECTURES: TRANSFORMERS FOR HIGH ENERGY PHYSICS
2026 Zenodo (CERN European Organization for Nuclear Research) report Computer Science Advanced Neural Network Applications Open access

Dino Cheng, Roope Oskari Niemi, M. Pierini

0

citations
Optimized feature space learning for generating efficient binary codes for image retrieval
2021 Signal Processing Image Communication article Computer Science Advanced Image and Video Retrieval Techniques Open access

Abin Jose, Erik Stefan Ottlik, Christian Rohlfing, Jens-Rainer Ohm

8

citations
APPLYING PQUANTML TO LARGE ARCHITECTURES: TRANSFORMERS FOR HIGH ENERGY PHYSICS
2026 Zenodo (CERN European Organization for Nuclear Research) report Open access

Dino Cheng, Roope Niemi, M. Pierini

0

citations
Autoadaptives prädiktives Modell zur Quantifizierung von Gleichzeitigkeitsfeffekten in Lastverteilungen urbaner Energiesysteme
2020 RWTH Publications (RWTH Aachen) dissertation Engineering Energy Load and Power Forecasting Open access

Daniel Koschwitz

0

citations
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers
2024 IEEE Microwave and Wireless Technology Letters article Engineering Advanced Power Amplifier Design Open access

Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, +2 more

38

citations
Buffer Sizes Reduction for Memory-efficient CNN Inference on Mobile and Embedded Devices
2020 Euromicro Conference on Digital System Design (DSD) conference-paper Computer Science Advanced Neural Network Applications Open access

Svetlana Minakova, Todor P. Stefanov

10

citations
Memory-Throughput Trade-off for CNN-Based Applications at the Edge
2022 ACM Transactions on Design Automation of Electronic Systems article Computer Science Advanced Neural Network Applications Open access

Svetlana Minakova, Todor P. Stefanov

9

citations
NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware
2023 International Conference on Machine Learning and Applications conference-paper Engineering Advanced Memory and Neural Computing

Tim Stadtmann, Benedikt Wahl, Tobias Gemmeke

4

citations
BENCHMARK OF GENERATIVE ADVERSARIAL NETWORKS FOR FAST HEP CALORIMETER SIMULATIONS
2021 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" conference-paper Physics and Astronomy Particle Detector Development and Performance Open access

Florian Rehm, Sofia Vallecorsa, K. Borras, Dirk Krücker

2

citations
Reduced Precision Research of a GAN Image Generation Use-case
2023 Lecture notes in computer science conference-paper Computer Science Advanced Neural Network Applications

Florian Rehm, Vikram A. Saletore, Sofia Vallecorsa, K. Borras, Dirk Krücker

0

citations
Meta-learning Hybrid Spiking networks as physics-based nonlinear solvers for physical simulations
2026 npj Unconventional Computing article Engineering Advanced Memory and Neural Computing Open access

Saurabh Balkrishna Tandale, Marcus Stoffel

1

citations
Analysis of Thermal Side-Channel Attacks on Analog/Digital Computing-in-Memory Accelerators
2024 IEEE Latin American Test Symposium (LATS) conference-paper Engineering Advanced Memory and Neural Computing

L. Pfeifer, Felix Staudigl, Rainer Leupers

1

citations
DeltaLLM: Delta-Key Sparse Attention for Edge LLMs
2026 IEEE transactions on circuits and systems for artificial intelligence. article Computer Science Advanced Neural Network Applications

Jiawen Qi, Jiayu Liu, Chang Gao, Zhaochun Ren, Qinyu Chen

0

citations
Torus embeddings
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Dan Stowell

0

citations
Efficient Feature Compression for the Object Tracking Task
2022 Proceedings - International Conference on Image Processing conference-paper Computer Science Video Coding and Compression Technologies

Robert Henzel, Kiran Misra, Tianying Ji

6

citations
Deep data compression for approximate ultrasonic image formation
2020 IEEE International Ultrasonics Symposium conference-paper Computer Science Advanced Data Compression Techniques Open access

9

citations
Deep data compression for approximate ultrasonic image formation
2020 Utrecht University Repository (Utrecht University) book Computer Science Advanced Data Compression Techniques Open access

Georgios Pilikos, Lars Hörchens, K.J. Batenburg, T. van Leeuwen, Felix Lucka, Mathematical Modeling, +1 more

9

citations
DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM
2024 arXiv (Cornell University) preprint Engineering Low-power high-performance VLSI design Open access

Qinyu Chen, Kwantae Kim, Chang Gao, S. Kevin Zhou, Taekwang Jang, Tobi Delbrück, +1 more

0

citations
JaneEye: A 12-nm 2K-FPS 18.9-μJ/Frame Event-based Eye Tracking Accelerator
2026 Asia and South Pacific Design Automation Conference (ASP-DAC) conference-paper Computer Science Gaze Tracking and Assistive Technology Open access

Tao Han, Ang Li, Qinyu Chen, Chang Gao

2

citations
The Expressive Power of Random-Feature MPNNs Across Graph Sizes
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Robert R. Nerem, Mitchell Black, Antonis Vasileiou, Christopher Morris, Yusu Wang

0

citations
SALDR: Joint Self-Attention Learning and Dense Refine for Massive MIMO CSI Feedback With Multiple Compression Ratio
2021 IEEE Wireless Communications Letters article Engineering Advanced MIMO Systems Optimization

Xuan Song, Jun Wang, Jie Wang, Guan Gui, Tomoaki Otsuki Ohtsuki, Haris Gacanin, +1 more

47

citations
EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer
2024 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

7

citations