📐 Matrix Factorization - pfh · Scour

Machine Learning for Two-Stage Graph Sparsification for the Travelling Salesman Problem 🗺️Manifold Learning

Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models 🔢Embeddings

LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning ⛰️Gradient Descent

Gmd: Gaussian mixture descriptor for pair matching of 3D fragments 🗺️UMAP

TESO: Online Tracking of Essential Matrix by Stochastic Optimization 🗺️UMAP

DWTSumm: Discrete Wavelet Transform for Document Summarization 🔢Embeddings

Estimating the Number of Components in Finite Mixture Models via Variational Approximation 📊Empirical Bayes

Scalable Outer Approximation of Minkowski Sums of Matrix Ellipsoids for Data-Driven Control 📐Computational Geometry

Debiased neural operators for estimating functionals ⛰️Gradient Descent

Graph-Theoretic Models for the Prediction of Molecular Measurements 🗺️UMAP

MSDS: Deep Structural Similarity with Multiscale Representation 🔢Embeddings

Improved large-scale graph learning through ridge spectral sparsification 🗺️Manifold Learning

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation 📄FASTQ

Geometric Layer-wise Approximation Rates for Deep Networks 🗺️Manifold Learning

HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition 🔥ComplexHeatmap

Benchmarking Vision Foundation Models for Domain-Generalizable Face Anti-Spoofing 🗺️Manifold Learning

On Word Representations and Embeddings in Complex Matrices 🔢Embeddings

Distributional Value Estimation Without Target Networks for Robust Quality-Diversity 🗺️UMAP

Break the Optimization Barrier of LLM-Enhanced Recommenders: A Theoretical Analysis and Practical Framework 🗺️UMAP

Missingness-Adaptive Factor Identification in High-Dimensional Data 📊Empirical Bayes

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