260 citations · 879 across the 60 of their papers we have counts for
6 papers · 1 filter
Target alignment in truncated kernel ridge regression
Arash A. Amini, Richard Baumgartner, Dai Feng
Kernel ridge regression (KRR) has recently attracted renewed interest due to its potential for explaining the transient effects, such as double descent, that emerge during neural n…
Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input
Guangyi Liu, Arash Amini, Martin Takac +1
For a given stable recurrent neural network (RNN) that is trained to perform a classification task using sequential inputs, we quantify explicit robustness bounds as a function of…
Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
Arash Amini, Guangyi Liu, Nader Motee
Recurrent Neural networks (RNN) have shown promising potential for learning dynamics of sequential data. However, artificial neural networks are known to exhibit poor robustness in…
Fast Methods for Recovering Sparse Parameters in Linear Low Rank Models
Ashkan Esmaeili, Arash Amini, Farokh Marvasti
In this paper, we investigate the recovery of a sparse weight vector (parameters vector) from a set of noisy linear combinations. However, only partial information about the matrix…
On semidefinite relaxations for the block model
Arash A. Amini, Elizaveta Levina
The stochastic block model (SBM) is a popular tool for community detection in networks, but fitting it by maximum likelihood (MLE) involves a computationally infeasible optimizatio…
Bayesian Estimation for Continuous-Time Sparse Stochastic Processes
Arash Amini, Ulugbek S. Kamilov, Emrah Bostan +1
We consider continuous-time sparse stochastic processes from which we have only a finite number of noisy/noiseless samples. Our goal is to estimate the noiseless samples (denoising…