4 papers
MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning
Yaniv Shulman, Shaghayegh Akbarpour, Jack B. Muir
We propose MABLE (Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning), a self-supervised framework for learning node and graph embeddings from…
Robust Local Polynomial Regression with Similarity Kernels
Yaniv Shulman
Local Polynomial Regression (LPR) is a widely used nonparametric method for modeling complex relationships due to its flexibility and simplicity. It estimates a regression function…
Generalized Local Polynomial Regression with Decomposed Context-Aware Kernels
Yaniv Shulman
Local Polynomial Regression (LPR) is a powerful tool for nonparametric smoothing, yet it traditionally suffers from a "Euclidean tautology": the variables used to define the local…
Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes
Yaniv Shulman
The identification of Linear Time-Varying (LTV) systems from input-output data is a fundamental yet challenging ill-posed inverse problem. This work introduces a unified Bayesian f…