Cover Image

Cluster Aggregated GAN (CAG): A Cluster-Based Hybrid Model for Appliance Pattern Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Zikun, Adedigba, Adeyinka. P., Mallipeddi, Rammohan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structural Induced Exploration for Balanced and Scalable Multi-Robot Path Planning
by: Guo, Zikun, et al.
Published: (2025)

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
by: Song, Yanjie, et al.
Published: (2023)

Fair Bayesian Model-Based Clustering
by: Lee, Jihu, et al.
Published: (2025)

FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
by: Fan, Boyu, et al.
Published: (2024)

A General Anchor-Based Framework for Scalable Fair Clustering
by: Wei, Shengfei, et al.
Published: (2025)

Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
by: Ranaweera, Kanishka, et al.
Published: (2025)

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting
by: Yuan, Zhongzheng, et al.
Published: (2025)

Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
by: Liang, Xinyu, et al.
Published: (2024)

Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes
by: Hsu, Yung-Peng, et al.
Published: (2024)

Dying Clusters Is All You Need -- Deep Clustering With an Unknown Number of Clusters
by: Leiber, Collin, et al.
Published: (2024)

Discovering Operational Patterns Using Image-Based Convolutional Clustering and Composite Evaluation: A Case Study in Foundry Melting Processes
by: Ma, Zhipeng, et al.
Published: (2025)

Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection
by: Liang, Xinyu, et al.
Published: (2025)

Hybrid Modeling Design Patterns
by: Rudolph, Maja, et al.
Published: (2023)

A3S: A General Active Clustering Method with Pairwise Constraints
by: Deng, Xun, et al.
Published: (2024)

Efficient Inference Using Large Language Models with Limited Human Data: Fine-Tuning then Rectification
by: Wang, Lei, et al.
Published: (2025)

Generalization Performance of Ensemble Clustering: From Theory to Algorithm
by: Zhang, Xu, et al.
Published: (2025)

Clustering and Median Aggregation Improve Differentially Private Inference
by: Amin, Kareem, et al.
Published: (2025)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)

ADNF-Clustering: An Adaptive and Dynamic Neuro-Fuzzy Clustering for Leukemia Prediction
by: Aruta, Marco, et al.
Published: (2025)

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption
by: Zuziak, Maciej Krzysztof, et al.
Published: (2025)

Time Series Clustering with General State Space Models via Stochastic Variational Inference
by: Ishizuka, Ryoichi, et al.
Published: (2024)

Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering
by: Ma, Zhipeng, et al.
Published: (2025)

Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
by: Pirnat, Anže, et al.
Published: (2023)

CLAMS: A System for Zero-Shot Model Selection for Clustering
by: Singh, Prabhant, et al.
Published: (2024)

Fair Clustering with Clusterlets
by: Setzu, Mattia, et al.
Published: (2025)

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
by: Zhao, Mingjie, et al.
Published: (2025)

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number
by: Ding, Chen-Lu, et al.
Published: (2024)

Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning
by: Ma, Guoqing, et al.
Published: (2025)

Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation
by: Zhang, Rui, et al.
Published: (2024)

Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation
by: Yang, Qidong, et al.
Published: (2026)

Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Models
by: Bazzaz, Mahsa, et al.
Published: (2024)

An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
by: Leiber, Collin, et al.
Published: (2025)

GEPD:GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease
by: Zhang, Qian, et al.
Published: (2025)

Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
by: Wagner, Stefan Sylvius, et al.
Published: (2024)

Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition
by: Wang, Zijian, et al.
Published: (2024)

FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments
by: Rahil, Sameer, et al.
Published: (2025)

Fair Clustering via Alignment
by: Kim, Kunwoong, et al.
Published: (2025)

Online Clustering of Dueling Bandits
by: Wang, Zhiyong, et al.
Published: (2025)

Spectral Clustering for Discrete Distributions
by: Wang, Zixiao, et al.
Published: (2024)

Deep Temporal Graph Clustering
by: Liu, Meng, et al.
Published: (2023)