Whitening Spherical Gaussian Mixtures in the Large-Dimensional Regime
Fuente:
arXiv
Guardado en:
| Autores principales: | Boudjemaa, Mohammed Racim Moussa, Kalle, Alper, Mai, Xiaoyi, Goulart, José Henrique de Morais, Févotte, Cédric |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$-divergence
por: Marmin, Arthur, et al.
Publicado: (2022)
por: Marmin, Arthur, et al.
Publicado: (2022)
The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
por: Mai, Xiaoyi, et al.
Publicado: (2024)
por: Mai, Xiaoyi, et al.
Publicado: (2024)
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
por: Lebeau, Hugo, et al.
Publicado: (2024)
por: Lebeau, Hugo, et al.
Publicado: (2024)
Learning Mixtures of Spherical Gaussians via Fourier Analysis
por: Chakraborty, Somnath, et al.
Publicado: (2020)
por: Chakraborty, Somnath, et al.
Publicado: (2020)
Zipfian Whitening
por: Yokoi, Sho, et al.
Publicado: (2024)
por: Yokoi, Sho, et al.
Publicado: (2024)
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
por: Zhang, Yan, et al.
Publicado: (2026)
por: Zhang, Yan, et al.
Publicado: (2026)
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
por: Kalle, Alper, et al.
Publicado: (2025)
por: Kalle, Alper, et al.
Publicado: (2025)
Understanding SOAP from the Perspective of Gradient Whitening
por: Lu, Yanqing, et al.
Publicado: (2025)
por: Lu, Yanqing, et al.
Publicado: (2025)
What Really Matters in Matrix-Whitening Optimizers?
por: Frans, Kevin, et al.
Publicado: (2025)
por: Frans, Kevin, et al.
Publicado: (2025)
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
por: Yang, Lingxiao, et al.
Publicado: (2024)
por: Yang, Lingxiao, et al.
Publicado: (2024)
Breaking the Attention Bottleneck
por: Hilsenbek, Kalle
Publicado: (2024)
por: Hilsenbek, Kalle
Publicado: (2024)
Data Whitening Improves Sparse Autoencoder Learning
por: Saraswatula, Ashwin, et al.
Publicado: (2025)
por: Saraswatula, Ashwin, et al.
Publicado: (2025)
A Stable Whitening Optimizer for Efficient Neural Network Training
por: Frans, Kevin, et al.
Publicado: (2025)
por: Frans, Kevin, et al.
Publicado: (2025)
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
por: Yang, Yanfeng, et al.
Publicado: (2025)
por: Yang, Yanfeng, et al.
Publicado: (2025)
Improving Relative Representations with Learned Anchors and Whitened Inner Products
por: Svendsen, Oscar Thorsted, et al.
Publicado: (2026)
por: Svendsen, Oscar Thorsted, et al.
Publicado: (2026)
Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models
por: Liu, Xinyu, et al.
Publicado: (2024)
por: Liu, Xinyu, et al.
Publicado: (2024)
Whitening Not Recommended for Classification Tasks in LLMs
por: Forooghi, Ali, et al.
Publicado: (2024)
por: Forooghi, Ali, et al.
Publicado: (2024)
Federated Gaussian Mixture Models
por: Pettersson, Sophia Zhang, et al.
Publicado: (2025)
por: Pettersson, Sophia Zhang, et al.
Publicado: (2025)
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
por: Zhang, Mingxuan, et al.
Publicado: (2024)
por: Zhang, Mingxuan, et al.
Publicado: (2024)
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers
por: Zhou, Yijia, et al.
Publicado: (2023)
por: Zhou, Yijia, et al.
Publicado: (2023)
Training-Free Policy Violation Detection via Activation-Space Whitening in LLMs
por: Rachmil, Oren, et al.
Publicado: (2025)
por: Rachmil, Oren, et al.
Publicado: (2025)
Out-of-Distribution Radar Detection with Complex VAEs: Theory, Whitening, and ANMF Fusion
por: Rouzoumka, Yadang Alexis, et al.
Publicado: (2026)
por: Rouzoumka, Yadang Alexis, et al.
Publicado: (2026)
IO-SVD: Input-Output Whitened SVD for Adaptive-Rank LLM Compression
por: Abbasi, Ali, et al.
Publicado: (2026)
por: Abbasi, Ali, et al.
Publicado: (2026)
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
por: Ma, Chao, et al.
Publicado: (2024)
por: Ma, Chao, et al.
Publicado: (2024)
Pro-KLShampoo: Projected KL-Shampoo with Whitening Recovered by Orthogonalization
por: Sun, Ruotong, et al.
Publicado: (2026)
por: Sun, Ruotong, et al.
Publicado: (2026)
High-Dimensional BWDM: A Robust Nonparametric Clustering Validation Index for Large-Scale Data
por: Baragilly, Mohammed, et al.
Publicado: (2025)
por: Baragilly, Mohammed, et al.
Publicado: (2025)
Variational Inference with Mixtures of Isotropic Gaussians
por: Petit-Talamon, Marguerite, et al.
Publicado: (2025)
por: Petit-Talamon, Marguerite, et al.
Publicado: (2025)
Sampling via Gaussian Mixture Approximations
por: Huang, Yongchao
Publicado: (2025)
por: Huang, Yongchao
Publicado: (2025)
One-Pass Sparsified Gaussian Mixtures
por: Kightley, Eric, et al.
Publicado: (2019)
por: Kightley, Eric, et al.
Publicado: (2019)
GGMPs: Generalized Gaussian Mixture Processes
por: Tekriwal, Vardaan, et al.
Publicado: (2026)
por: Tekriwal, Vardaan, et al.
Publicado: (2026)
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
por: Cho, Yooshin, et al.
Publicado: (2025)
por: Cho, Yooshin, et al.
Publicado: (2025)
Steering Large Agent Populations using Mean-Field Schrodinger Bridges with Gaussian Mixture Models
por: Rapakoulias, George, et al.
Publicado: (2025)
por: Rapakoulias, George, et al.
Publicado: (2025)
Reservoir Subspace Injection for Online ICA under Top-n Whitening
por: Xiao, Wenjun, et al.
Publicado: (2026)
por: Xiao, Wenjun, et al.
Publicado: (2026)
Can a Large Language Model Learn Matrix Functions In Context?
por: Goulart, Paimon, et al.
Publicado: (2024)
por: Goulart, Paimon, et al.
Publicado: (2024)
DeRegiME: Deep Regime Mixtures for Probabilistic Forecasting under Distribution Shift
por: Wood, Kieran, et al.
Publicado: (2026)
por: Wood, Kieran, et al.
Publicado: (2026)
Fast Deep Mixtures of Gaussian Process Experts
por: Etienam, Clement, et al.
Publicado: (2020)
por: Etienam, Clement, et al.
Publicado: (2020)
Individual-heterogeneous sub-Gaussian Mixture Models
por: Qing, Huan
Publicado: (2026)
por: Qing, Huan
Publicado: (2026)
On Parameter Estimation in Deviated Gaussian Mixture of Experts
por: Nguyen, Huy, et al.
Publicado: (2024)
por: Nguyen, Huy, et al.
Publicado: (2024)
Gaussian Process-Gated Hierarchical Mixtures of Experts
por: Liu, Yuhao, et al.
Publicado: (2023)
por: Liu, Yuhao, et al.
Publicado: (2023)
Mixture of Experts Softens the Curse of Dimensionality in Operator Learning
por: Kratsios, Anastasis, et al.
Publicado: (2024)
por: Kratsios, Anastasis, et al.
Publicado: (2024)
Ejemplares similares
-
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$-divergence
por: Marmin, Arthur, et al.
Publicado: (2022) -
The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
por: Mai, Xiaoyi, et al.
Publicado: (2024) -
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
por: Lebeau, Hugo, et al.
Publicado: (2024) -
Learning Mixtures of Spherical Gaussians via Fourier Analysis
por: Chakraborty, Somnath, et al.
Publicado: (2020) -
Zipfian Whitening
por: Yokoi, Sho, et al.
Publicado: (2024)