:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nazari, Farnaz, Yan, Wei
Format:	Preprint
Published:	2021
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2108.12929
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Building Hybrid B-Spline And Neural Network Operators
by: Romagnoli, Raffaele, et al.
Published: (2024)

Parseval Convolution Operators and Neural Networks
by: Unser, Michael, et al.
Published: (2024)

Knowledge-Based Convolutional Neural Network for the Simulation and Prediction of Two-Phase Darcy Flows
by: Elabid, Zakaria, et al.
Published: (2024)

A Case Study on Evaluating Genetic Algorithms for Early Building Design Optimization: Comparison with Random and Grid Searches
by: Nazari, Farnaz, et al.
Published: (2025)

Binarized Simplicial Convolutional Neural Networks
by: Yan, Yi, et al.
Published: (2024)

Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)

An IoT Framework for Building Energy Optimization Using Machine Learning-based MPC
by: Morteza, Aryan, et al.
Published: (2024)

Dense-Sparse Deep Convolutional Neural Networks Training for Image Denoising
by: Alawode, Basit O., et al.
Published: (2021)

Powerset Convolutional Neural Networks
by: Wendler, Chris, et al.
Published: (2019)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
by: Davila, Randy, et al.
Published: (2025)

The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention
by: Ding, Xingyu, et al.
Published: (2024)

Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal
by: Chen, Xia, et al.
Published: (2024)

Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
by: Dempsey, Ryan G., et al.
Published: (2025)

Multiscale Training of Convolutional Neural Networks
by: Ahamed, Shadab, et al.
Published: (2025)

Advection Augmented Convolutional Neural Networks
by: Zakariaei, Niloufar, et al.
Published: (2024)

Variational Graph Convolutional Neural Networks
by: Oleksiienko, Illia, et al.
Published: (2025)

Dual Convexified Convolutional Neural Networks
by: Bai, Site, et al.
Published: (2022)

A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay
by: Ghahfarokhi, Mandana Farhang, et al.
Published: (2024)

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

Neural Networks With Dense Weights Are Not Universal Approximators
by: Rauchwerger, Levi, et al.
Published: (2026)

Heart Disease Prediction: A Comparative Study of Optimisers Performance in Deep Neural Networks
by: Chibuike, Chisom, et al.
Published: (2025)

Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
by: Arsene, Corneliu, et al.
Published: (2023)

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
by: He, Mingguo, et al.
Published: (2022)

Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2024)

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
by: Wang, Yuhan, et al.
Published: (2024)

On the Efficiency of Convolutional Neural Networks
by: Lavin, Andrew
Published: (2024)

BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
by: Liu, Yongzheng, et al.
Published: (2025)

Causal Convolutional Neural Networks as Finite Impulse Response Filters
by: Bacsa, Kiran, et al.
Published: (2025)

Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents
by: Pedersen, Joachim Winther, et al.
Published: (2024)

Clifford-Steerable Convolutional Neural Networks
by: Zhdanov, Maksim, et al.
Published: (2024)

Deep Operator Neural Network Model Predictive Control
by: de Jong, Thomas Oliver, et al.
Published: (2025)

In-flight Novelty Detection with Convolutional Neural Networks
by: Hartwell, Adam, et al.
Published: (2021)

Inverse Design of Optimal Stern Shape with Convolutional Neural Network-based Pressure Distribution
by: Oh, Sang-jin, et al.
Published: (2025)

Physics-Guided Memory Network for Building Energy Modeling
by: Danish, Muhammad Umair, et al.
Published: (2025)

Towards Neural Architecture Search for Transfer Learning in 6G Networks
by: Orucu, Adam, et al.
Published: (2024)

Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2024)

Understanding the Benefits of SimCLR Pre-Training in Two-Layer Convolutional Neural Networks
by: Zhang, Han, et al.
Published: (2024)

Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
by: Chen, Chi-Sheng, et al.
Published: (2025)

Densely Multiplied Physics Informed Neural Networks
by: Jiang, Feilong, et al.
Published: (2024)

Optimizing Dense Feed-Forward Neural Networks
by: Balderas, Luis, et al.
Published: (2023)