Copertina

Quantized Approximately Orthogonal Recurrent Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Foucault, Armand, Mamalet, Franck, Malgouyres, François
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence Machine Learning Signal Processing Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Geometry-induced Regularization in Deep ReLU Neural Networks
di: Bona-Pellissier, Joachim, et al.
Pubblicazione: (2024)

HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
di: Foucault, Armand, et al.
Pubblicazione: (2025)

Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
di: Wong, Timothy, et al.
Pubblicazione: (2018)

Adaptive Temporal Dynamics for Personalized Emotion Recognition: A Liquid Neural Network Approach
di: Bhattacharjee, Anindya, et al.
Pubblicazione: (2026)

Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
di: Mousavi, S. Muhammad Hossein
Pubblicazione: (2025)

EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams
di: Leite, Daniel, et al.
Pubblicazione: (2024)

Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
di: Ickin, Selim, et al.
Pubblicazione: (2025)

Arbitrary Precision Printed Ternary Neural Networks with Holistic Evolutionary Approximation
di: Mrazek, Vojtech, et al.
Pubblicazione: (2025)

Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
di: Mazurek, Szymon, et al.
Pubblicazione: (2025)

ADMM-Based Training for Spiking Neural Networks
di: Perin, Giovanni, et al.
Pubblicazione: (2025)

Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor
di: Lia, Ruixin, et al.
Pubblicazione: (2024)

LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
di: Abdennadher, Yesmine, et al.
Pubblicazione: (2025)

Neural Memory Networks for Seizure Type Classification
di: Ahmedt-Aristizabal, David, et al.
Pubblicazione: (2019)

On the Computational Complexities of Complex-valued Neural Networks
di: Mayer, Kayol Soares, et al.
Pubblicazione: (2023)

ENN: A Neural Network with DCT Adaptive Activation Functions
di: Martinez-Gost, Marc, et al.
Pubblicazione: (2023)

Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
di: Cratere, Angela, et al.
Pubblicazione: (2025)

Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks
di: Song, Zihang, et al.
Pubblicazione: (2024)

Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms
di: Miccini, Riccardo, et al.
Pubblicazione: (2024)

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
di: Kratsios, Anastasis, et al.
Pubblicazione: (2025)

Uncertainty propagation through trained multi-layer perceptrons: Exact analytical results
di: Thompson, Andrew, et al.
Pubblicazione: (2026)

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
di: Boissin, Thibaut, et al.
Pubblicazione: (2025)

CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection
di: Zhao, Youshen, et al.
Pubblicazione: (2024)

Backpropagation through space, time, and the brain
di: Ellenberger, Benjamin, et al.
Pubblicazione: (2024)

Invariant Representations with Stochastically Quantized Neural Networks
di: Cerrato, Mattia, et al.
Pubblicazione: (2022)

Time Elastic Neural Networks
di: Marteau, Pierre-François
Pubblicazione: (2024)

Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy
di: Li, Yang, et al.
Pubblicazione: (2023)

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
di: Xiao, Mingqing, et al.
Pubblicazione: (2024)

Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability
di: Hou, Dengzhe, et al.
Pubblicazione: (2026)

Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
di: Spieler, Aaron, et al.
Pubblicazione: (2026)

Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
di: Tang, Bo, et al.
Pubblicazione: (2026)

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
di: Baronig, Maximilian, et al.
Pubblicazione: (2025)

MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
di: Cui, Yanjie, et al.
Pubblicazione: (2024)

Event-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture Recognition
di: Ding, Yuqi, et al.
Pubblicazione: (2025)

Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
di: Csordás, Róbert, et al.
Pubblicazione: (2024)

Resonate-and-Fire Spiking Neurons for Target Detection and Hand Gesture Recognition: A Hybrid Approach
di: Shaaban, Ahmed, et al.
Pubblicazione: (2024)

Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
di: Lutes, Nathan, et al.
Pubblicazione: (2024)

EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
di: Annamalai, Lakshmi, et al.
Pubblicazione: (2024)

Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
di: Li, Yuanhao, et al.
Pubblicazione: (2024)

A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data
di: Sunkara, Akshay, et al.
Pubblicazione: (2024)

Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors
di: Mani, Pranav, et al.
Pubblicazione: (2020)