- A Perspective on Neural Capacity Estimation🔍
- Neural Capacity Estimators🔍
- Benchmarking Neural Capacity Estimation Viability and Reliability🔍
- Farhad|Mrkm/Benchmarking|Neural|Capacity|Estimators🔍
- Quantifying neural efficiency and neural capacity across the brain ...🔍
- Capacity estimation of lithium|ion batteries based on adaptive ...🔍
- Neural Estimation of Multi|User Capacity Regions🔍
- Benchmarking Neural Capacity Estimation🔍
A Perspective on Neural Capacity Estimation
A Perspective on Neural Capacity Estimation: Viability and Reliability
Title:A Perspective on Neural Capacity Estimation: Viability and Reliability ... Abstract:Recently, several methods have been proposed for ...
A Perspective on Neural Capacity Estimation: Viability & Reliability
Neural capacity estimators; Capacity; Optimal input distribution; AWGN channel; Optical intensity channel;. Peak power-constrained AWGN channel; ...
A Perspective on Neural Capacity Estimation: Viability and Reliability
This paper argues that benchmarking a certain NMIE across these four scenarios provides a substantive test of performance, and studies the performance of ...
A Perspective on Neural Capacity Estimation: Viability and Reliability
For the NMIE above, capacity estimation relies on two deep neural networks (DNN): (i) one DNN generates samples from a distribution that is ...
Neural Capacity Estimators: How Reliable Are They? - IEEE Xplore
This class of estimators is referred to as neural mutual information estimators. Although very promising, such techniques have yet to be rigorously bench-marked ...
A Perspective on Neural Capacity Estimation: Viability and ...
A Perspective on Neural Capacity Estimation: Viability and Reliability. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/corr/abs-2203 ...
Neural Capacity Estimators: How Reliable Are They? - ResearchGate
This class of estimators is referred to as neural mutual information estimators. Although very promising, such techniques have yet to be ...
Neural Capacity Estimators: How Reliable Are They? | Request PDF
... While the benefit of a deep learning (DL) approach is evident for tasks like signal detection [2], decoding [3] and channel estimation [ ...
Neural Capacity Estimators: How Reliable Are They?
This class of estimators is referred to as neural mutual information estimators. Although very promising, such techniques have yet to be rigorously bench-marked ...
Benchmarking Neural Capacity Estimation Viability and Reliability
Benchmarking Neural Capacity Estimation Viability and Reliability https://ifoxprojects.com/ IEEE PROJECTS 2024-2025 TITLE LIST WhatsApp ...
Farhad-Mrkm/Benchmarking-Neural-Capacity-Estimators - GitHub
1- Run the Estimators.py to set different MI estimatition methods. · 2-Run mi_critics.py where different MLPs are initialized for mi estimation (which is called ...
Quantifying neural efficiency and neural capacity across the brain ...
This approach provides tools for evaluating current theories about the ... Neural efficiency and neural capacity provide physiological measures of brain ...
Capacity estimation of lithium-ion batteries based on adaptive ...
... capacity estimation combined with a Convolutional Neural Network (CNN). However, EIS is an offline controlled experimental approach; thus ...
Neural Estimation of Multi-User Capacity Regions - IEEE Xplore
Abstract: In this paper, we introduce a data-driven methodology for estimating capacity regions of continuous channels in multi-user communication systems.
Benchmarking Neural Capacity Estimation: Viability and Reliability
Recently, several methods have been proposed for estimating the mutual information from sample data using deep neural networks. This approach is referred to as ...
Revisiting the Information Capacity of Neural Network Watermarks
Current studies on capacity focus on the ownership verification accuracy under ordinary removal attacks and fail to capture the relationship ...
Lithium-ion battery capacity estimation — A pruned convolutional ...
This is a repository copy of Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning. White ...
Artificial neural network driven prognosis and estimation of Lithium ...
Moreover, convolutional neural networks have also shown good estimation performance in number of studies and illustrate huge potential. Finally, this work ...
Capacity of Continuous Channels with Memory via Directed ...
using neural networks (NNs) is a recently proposed approach. [2], [3] ... Neural Distribution Transformer and Capacity Estimation. DINE ...
Capacity Estimation of Lithium-Ion Batteries Based on Multiple Small ...
This paper proposes a capacity estimation method using multiple small voltage sections and back propagation neural networks.