:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Robertson, Connor, Wilmoth, Jared L., Retterer, Scott, Fuentes-Cabrera, Miguel
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2205.05810
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recurrent Neural Networks for Modelling Gross Primary Production
by: Montero, David, et al.
Published: (2024)

Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network Approach
by: de Aguiar, Diego A., et al.
Published: (2024)

The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters
by: Koermer, Scott, et al.
Published: (2025)

Music Emotion Prediction Using Recurrent Neural Networks
by: Chang, Xinyu, et al.
Published: (2024)

Frame Quantization of Neural Networks
by: Czaja, Wojciech, et al.
Published: (2024)

Spectral Pruning for Recurrent Neural Networks
by: Furuya, Takashi, et al.
Published: (2021)

Investigating Sparsity in Recurrent Neural Networks
by: Darji, Harshil
Published: (2024)

Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
by: Beaudoin, Collin, et al.
Published: (2023)

Modular Boundaries in Recurrent Neural Networks
by: Tanner, Jacob, et al.
Published: (2023)

Predicting Microbial Interactions Using Graph Neural Networks
by: Gholamzadeh, Elham, et al.
Published: (2025)

An Uncertainty Principle for Linear Recurrent Neural Networks
by: François, Alexandre, et al.
Published: (2025)

Generalization and Risk Bounds for Recurrent Neural Networks
by: Cheng, Xuewei, et al.
Published: (2024)

Weight-Space Linear Recurrent Neural Networks
by: Nzoyem, Roussel Desmond, et al.
Published: (2025)

Recurrence-Complete Frame-based Action Models
by: Keiblinger, Michael
Published: (2025)

Performative Prediction with Neural Networks
by: Mofakhami, Mehrnaz, et al.
Published: (2023)

Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity
by: Hershey, Quincy, et al.
Published: (2024)

Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
by: Robertson, Zachary, et al.
Published: (2023)

Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
by: Viqueira, José Daniel, et al.
Published: (2023)

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
by: Zhou, Yifan, et al.
Published: (2025)

Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery
by: Zheng, Yuhan, et al.
Published: (2024)

Approximation Bounds for Recurrent Neural Networks with Application to Regression
by: Jiao, Yuling, et al.
Published: (2024)

Continuous-Time Piecewise-Linear Recurrent Neural Networks
by: Brändle, Alena, et al.
Published: (2026)

Time-Warping Recurrent Neural Networks for Transfer Learning
by: Hirschi, Jonathon
Published: (2026)

Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
by: Hirschi, Jonathon, et al.
Published: (2026)

Extensional Properties of Recurrent Neural Networks
by: Dantsin, Evgeny, et al.
Published: (2024)

Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
by: Noori, Sahel Vahedi, et al.
Published: (2024)

Generative System Dynamics in Recurrent Neural Networks
by: Casoni, Michele, et al.
Published: (2025)

Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization
by: Lai, Xin, et al.
Published: (2026)

Neural Federated Learning for Livestock Growth Prediction
by: Wang, Shoujin, et al.
Published: (2026)

Predicting Customer Lifetime Value Using Recurrent Neural Net
by: Chen, Huigang, et al.
Published: (2024)

Flow Equivariant Recurrent Neural Networks
by: Keller, T. Anderson
Published: (2025)

Recurrent Neural Networks for Still Images
by: Dmitri, et al.
Published: (2024)

Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
by: Shahbandari, Lida, et al.
Published: (2024)

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
by: Zhao, Yingxue, et al.
Published: (2025)

Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
by: Nait-Saada, Thiziri, et al.
Published: (2023)

On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective
by: Mongaras, Gabriel, et al.
Published: (2025)

Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
by: Schlegel, Matthew, et al.
Published: (2026)

Recurrent Neural Networks with Linear Structures for Electricity Price Forecasting
by: Amor, Souhir Ben, et al.
Published: (2025)

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
by: Lee, Sanghyun, et al.
Published: (2024)

Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings
by: Wang, Yuanxi, et al.
Published: (2024)