Constraining 3D Fields for Reconstruction and View Synthesis
Explore advanced techniques in 3D field reconstruction and view synthesis, covering RegNeRF, MonoSDF, and TensoRF for improved neural rendering and geometric representation in computer vision.
Few-Shot Classification Using Tensor Completion
Explore tensor-based modeling for enhanced classification performance, especially with limited training data, outperforming traditional methods.
Guaranteed Training of Neural Networks Using Tensor Methods - 2015
Explore guaranteed neural network training using tensor methods. Learn about overcoming non-convexity, risk bounds, and combining unsupervised learning with supervised tasks.
Smoothed Analysis in Unsupervised Learning via Decoupling
Explore smoothed analysis in unsupervised learning, focusing on tensor decomposition, high-dimensional data, and robust subspace recovery. Gain insights into condition number bounds and perturbation techniques.
Tensor Decomposition - A Mathematical Tool for Data Analysis
Explore tensor decomposition as a powerful mathematical tool for analyzing complex data structures, with applications in neuroscience, gas detection, and communication patterns.
Higher-Order Multi-Variate Statistics for Scientific Data Analysis
Explore advanced multi-variate statistical techniques for scientific data analysis, focusing on higher-order methods like coskewness and cokurtosis for rare event detection and dimensionality reduction in complex systems.