:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Deutel, Mark, Geis, Simon, Plinge, Axel
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.15106
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers
by: Deutel, Mark, et al.
Published: (2024)

Investigating Target Class Influence on Neural Network Compressibility for Energy-Autonomous Avian Monitoring
by: Brolich, Nina, et al.
Published: (2026)

microYOLO: Towards Single-Shot Object Detection on Microcontrollers
by: Deutel, Mark, et al.
Published: (2024)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)

C-MCTS: Safe Planning with Monte Carlo Tree Search
by: Parthasarathy, Dinesh, et al.
Published: (2023)

Pareto Optimal Benchmarking of AI Models on ARM Cortex Processors for Sustainable Embedded Systems
by: Jain, Pranay, et al.
Published: (2026)

Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
by: Periyasamy, Maniraman, et al.
Published: (2024)

Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers
by: Daghero, Francesco, et al.
Published: (2025)

Like an Open Book? Read Neural Network Architecture with Simple Power Analysis on 32-bit Microcontrollers
by: Joud, Raphael, et al.
Published: (2023)

Neural Network Quantization for Microcontrollers: A Comprehensive Survey of Methods, Platforms, and Applications
by: Abushahla, Hamza A., et al.
Published: (2025)

Sketch2Prototype: Rapid Conceptual Design Exploration and Prototyping with Generative AI
by: Edwards, Kristen M., et al.
Published: (2024)

Comprehensive Evaluation of Prototype Neural Networks
by: Schlinge, Philipp, et al.
Published: (2025)

GRAU: Generic Reconfigurable Activation Unit Design for Neural Network Hardware Accelerators
by: Liu, Yuhao, et al.
Published: (2026)

VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
by: Shakarami, Ashkan, et al.
Published: (2025)

MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers
by: Yang, Zebin, et al.
Published: (2024)

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
by: Meyer, Nico, et al.
Published: (2024)

A Constant-Time Implementation Methodology for Activation Functions on Microcontrollers
by: Tyvodar, Andrii, et al.
Published: (2026)

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition
by: Einecke, Nils
Published: (2026)

AHC: Meta-Learned Adaptive Compression for Continual Object Detection on Memory-Constrained Microcontrollers
by: Wilson, Bibin
Published: (2026)

On the Expressive Power of Graph Neural Networks
by: Nalwade, Ashwin, et al.
Published: (2024)

Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval
by: Moon, WonJun, et al.
Published: (2025)

Smart Passive Acoustic Monitoring: Embedding a Classifier on AudioMoth Microcontroller
by: Lerbourg, Louis, et al.
Published: (2026)

Intelligent Canvas: Enabling Design-Like Exploratory Visual Data Analysis with Generative AI through Rapid Prototyping, Iteration and Curation
by: Ding, Zijian, et al.
Published: (2024)

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
by: You, Haoran, et al.
Published: (2022)

Characterizing Learning in Spiking Neural Networks with Astrocyte-Like Units
by: Yang, Christopher S., et al.
Published: (2025)

Who Does What in Deep Learning? Multidimensional Game-Theoretic Attribution of Function of Neural Units
by: Dixit, Shrey, et al.
Published: (2025)

Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
by: Wen, Ximing
Published: (2024)

Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers
by: Fanariotis, Anastasios, et al.
Published: (2025)

Prototypical Reward Network for Data-Efficient RLHF
by: Zhang, Jinghan, et al.
Published: (2024)

Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation
by: Rüb, Marcus, et al.
Published: (2024)

Wormhole Dynamics in Deep Neural Networks
by: Lai, Yen-Lung, et al.
Published: (2025)

Predictive Prototyping: Evaluating Design Concepts with ChatGPT
by: Yong, Hilsann, et al.
Published: (2026)

ProtoN: Prototype Node Graph Neural Network for Unconstrained Multi-Impression Ear Recognition
by: Peddi, Santhoshkumar, et al.
Published: (2025)

LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models
by: Sarah, Anthony, et al.
Published: (2024)

This Probably Looks Exactly Like That: An Invertible Prototypical Network
by: Carmichael, Zachariah, et al.
Published: (2024)

Quantitative CLTs in Deep Neural Networks
by: Favaro, Stefano, et al.
Published: (2023)

Rethinking Diversity in Deep Neural Network Testing
by: Wang, Zi, et al.
Published: (2023)

Deep Neural Network Benchmarks for Selective Classification
by: Pugnana, Andrea, et al.
Published: (2024)

Proximity-Informed Calibration for Deep Neural Networks
by: Xiong, Miao, et al.
Published: (2023)