\Sigma}{\Delta}$ Low Pas RNN

ΣΔ low-pass recurrent neural networks (RNNs) represent a specialized RNN architecture designed for efficient and accurate mapping onto neuromorphic hardware. Current research focuses on improving the precision and energy efficiency of these networks, often employing adaptive spiking neuron models and ΣΔ modulation for signal encoding. This approach is particularly relevant for resource-constrained applications requiring real-time inference, such as edge computing and embedded systems, where power efficiency is paramount. The development of robust and accurate ΣΔ lpRNNs promises significant advancements in low-power AI hardware and its deployment in various real-world scenarios.

Papers

April 21, 2022

Multi-task recommendation system for scientific papers with high-way networks
Aram Karimi, Simon Dobnik
Multi Task Latent Representation Traditional RNNs \Sigma}{\Delta}$ Low Pas RNN Scientific Paper

April 6, 2022

Learning to Adapt Clinical Sequences with Residual Mixture of Experts
Jeong Min Lee, Milos Hauskrecht
LeArning Abstract Expert Knowledge \Sigma}{\Delta}$ Low Pas RNN Event Sequence RNN Model

March 17, 2022

Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study
Grzegorz Dudek, Slawek Smyl, Paweł Pełka
Recurrent Neural Network Comparative Study Time Series Forecasting \Sigma}{\Delta}$ Low Pas RNN RNN Architecture Recurrent Unit

March 14, 2022

Neural Theorem Provers Delineating Search Area Using RNN
Yu-hao Wu, Hou-biao Li
Symbolic Reasoning \Sigma}{\Delta}$ Low Pas RNN Knowledge Graph Link Prediction Neural Theorem

March 1, 2022

AI Gone Astray: Technical Supplement
Janice Yang, Ludvig Karstens, Casey Ross, Adam Yala
Artificial Intelligence Machine Learning Model Technical Report \Sigma}{\Delta}$ Low Pas RNN

January 6, 2022

An Opinion Mining of Text in COVID-19 Issues along with Comparative Study in ML, BERT & RNN
Md. Mahadi Hasan Sany, Mumenunnesa Keya, Sharun Akter Khushbu, Akm Shahariar Azad Rabby, Abu Kaisar Mohammad Masum
Text Modality Covid 19 Ticket BERT Bangla Text \Sigma}{\Delta}$ Low Pas RNN Opinion Mining

December 19, 2021

Deep Filtering with DNN, CNN and RNN
Bin Xie, Qing Zhang
Deep Learning Approach DNN Framework CNN Network \Sigma}{\Delta}$ Low Pas RNN Deep Filter

November 5, 2021

Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation
Kentaro Ohno, Atsutoshi Kumagai
Recurrent Neural Network LSTM Network Traditional RNNs \Sigma}{\Delta}$ Low Pas RNN Reanalysis Data

November 4, 2021

How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction
Anthony Bau, Jacob Andreas
Neural Language Model Transformer Language Model Sequence Model \Sigma}{\Delta}$ Low Pas RNN Global Context Neural Sequence Model