Gaussian Mixture Model

January 13, 2025

Distance Measure Based on an Embedding of the Manifold of K-Component Gaussian Mixture Models into the Manifold of Symmetric Positive Definite Matrices
Amit Vishwakarma, KS Subrahamanian Moosath
Jina Embeddings Gaussian Mixture Model Gaussian Mixture Distance Measure Symmetric Positive Definite Symmetric Positive Definite Matrix Fisher Rao Distance
Deep Generative Clustering with VAEs and Expectation-Maximization
Michael Adipoetra, Ségolène Martin
Supervised Autoencoder Gaussian Mixture Model Expectation Maximization Deep Clustering Lung VAE
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
Chenyang Qi, Huiping Li, Panfeng Huang
Multi Task Gaussian Mixture Model Non Stationary Meta Reinforcement Learning Task Specification Task Inference Meta Reinforcement

January 3, 2025

Signal Recovery Using a Spiked Mixture Model
Paul-Louis Delacour, Sander Wahls, Jeffrey M. Spraggins, Lukasz Migas, Raf Van de Plas
Gaussian Mixture Model Expectation Maximization Algorithm Signal Recovery Spiked Model Mass Spectrometry Imaging

January 2, 2025

Learning Spectral Methods by Transformers
Yihan He, Yuan Cao, Hong-Yu Chen, Dennis Wu, Jianqing Fan, Han Liu
Transformer Megatron Decepticons Transformer Based Unsupervised Learning Gaussian Mixture Model Layer Transformer Spectral Learning

December 17, 2024

Synthetic Speech Classification: IEEE Signal Processing Cup 2022 challenge
Mahieyin Rahmun, Rafat Hasan Khan, Tanjim Taharat Aurpa, Sadia Khan, Zulker Nayeen Nahiyan, Mir Sayad Bin Almas, Rakibul Hasan Rajib, Syeda Sakira Hassan
Challenge Task Gaussian Mixture Model Signal Processing Synthetic Speech Detector

December 12, 2024

December 2, 2024

Graph Community Augmentation with GMM-based Modeling in Latent Space
Shintaro Fukushima, Kenji Yamanishi
Generative Model Latent Space Gaussian Mixture Model Graph Generation Graph Augmentation Real World Graph

November 28, 2024

Generalized Gaussian Model for Learned Image Compression
Haotian Zhang, Li Li, Dong Liu
Image Compression Gaussian Mixture Model Learned Image Compression Gaussian Model

November 19, 2024

Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures
Prashanti Anderson, Mitali Bafna, Rares-Darius Buhai, Pravesh K. Kothari, David Steurer
Practical Algorithm Gaussian Mixture Model Gaussian Mixture Dimension Reduction Covariance Conditioning Spherical Gaussian Sum of Square

November 18, 2024

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
Théophile Champion, Marek Grześ, Howard Bowman
Reinforcement Learning Q Learning Model Based Reinforcement Learning Inner Structure Gaussian Mixture Model Gaussian Mixture Perception Model

November 13, 2024

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization
Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis
Graph Neural Network Strong Generalization Generalization Error Gaussian Mixture Model Graph Data Augmentation

November 12, 2024

Analyzing Pitch Content in Traditional Ghanaian Seperewa Songs
Kelvin L Walls, Iran R Roman, Kelsey Van Ert, Colter Harper, Leila Adu-Gilmore
Gaussian Mixture Model Ghanaian Musical Scale F0 Subband

November 8, 2024

Network EM Algorithm for Gaussian Mixture Model in Decentralized Federated Learning
Shuyuan Wu, Bin Du, Xuetong Li, Hansheng Wang
Named Entity Recognition Gaussian Mixture Model Expectation Maximization Decentralized FL Network Inference Expectation Maximization Algorithm

November 5, 2024

Understanding Contrastive Learning via Gaussian Mixture Models
Parikshit Bansal, Ali Kavis, Sujay Sanghavi
Contrastive Learning Jina Embeddings Gaussian Mixture Model

October 28, 2024

Adaptive Transfer Clustering: A Unified Framework
Yuqi Gu, Zhongyuan Lyu, Kaizheng Wang
Unified Framework Gaussian Mixture Model Latent Class

October 21, 2024

GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown
Semantic Segmentation Domain Adaptation Unsupervised Domain Adaptation Gaussian Mixture Model

October 17, 2024

Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces
Jeremy Chopin, Rozenn Dahyot
System Performance Contrastive Loss Multimodal Data Gaussian Mixture Model Image Datasets Content Based Feature Mixed Space

October 12, 2024

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study
Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing
Language Model Case Study Context Learning Mixed Effect Label Noise Gaussian Mixture Model Theoretical Analysis Fewer Example

Papers

Distance Measure Based on an Embedding of the Manifold of K-Component Gaussian Mixture Models into the Manifold of Symmetric Positive Definite Matrices

Deep Generative Clustering with VAEs and Expectation-Maximization

TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments

Signal Recovery Using a Spiked Mixture Model

Learning Spectral Methods by Transformers

Synthetic Speech Classification: IEEE Signal Processing Cup 2022 challenge

Go With the Flow: Fast Diffusion for Gaussian Mixture Models

Explaining Model Overfitting in CNNs via GMM Clustering

Graph Community Augmentation with GMM-based Modeling in Latent Space

Generalized Gaussian Model for Learned Image Compression

Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization

Analyzing Pitch Content in Traditional Ghanaian Seperewa Songs

Network EM Algorithm for Gaussian Mixture Model in Decentralized Federated Learning

Understanding Contrastive Learning via Gaussian Mixture Models

Adaptive Transfer Clustering: A Unified Framework

GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation

Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study