Aleksandr Aravkin | DeepAI

DeepAI AI Chat

Featured Co-authors

Thomas B. Schön
81 publications
J. Nathan Kutz
64 publications
Eunho Yang
58 publications
Irina Rish
51 publications
Karthikeyan Natesan Ramamurthy
46 publications
Eldad Haber
38 publications
Gianluigi Pillonetto
31 publications
Guillermo Cecchi
25 publications
Dmitriy Drusvyatskiy
22 publications
Damek Davis
18 publications
Antônio H. Ribeiro
15 publications

∙ 01/30/2023

Deep networks for system identification: a Survey

Deep learning is a topic of considerable current interest. The availabil...

0 Gianluigi Pillonetto, et al. ∙

∙ 11/10/2022

Spatiotemporal k-means

Spatiotemporal data is readily available due to emerging sensor and data...

0 Olga Dorabiala, et al. ∙

∙ 05/13/2022

A Relaxation Approach to Feature Selection for Linear Mixed Effects Models

Linear Mixed-Effects (LME) models are a fundamental tool for modeling co...

0 Aleksei Sholokhov, et al. ∙

∙ 10/19/2021

Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP)

We examine acoustic Doppler current profiler (ADCP) measurements from un...

0 Jacob Stevens-Haas, et al. ∙

∙ 09/25/2021

Analysis and Methods to Mitigate Effects of Under-reporting in Count Data

Under-reporting of count data poses a major roadblock for prediction and...

0 Jennifer Brennan, et al. ∙

∙ 08/16/2021

Robust Trimmed k-means

Clustering is a fundamental tool in unsupervised learning, used to group...

9 Olga Dorabiala, et al. ∙

∙ 05/14/2021

A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy

Radiotherapy inverse planning requires treatment planners to modify mult...

10 Kelsey Maass, et al. ∙

∙ 03/24/2021

Analysis of Truncated Orthogonal Iteration for Sparse Eigenvector Problems

A wide range of problems in computational science and engineering requir...

0 Hexuan Liu, et al. ∙

∙ 05/24/2019

On the Global Minimizers of Real Robust Phase Retrieval with Sparse Noise

We study a class of real robust phase retrieval problems under a Gaussia...

0 Aleksandr Aravkin, et al. ∙

∙ 05/21/2019

Time-varying Autoregression with Low Rank Tensors

We present a windowed technique to learn parsimonious time-varying autor...

0 Kameron Decker Harris, et al. ∙

∙ 11/28/2018

Basis Pursuit Denoise with Nonsmooth Constraints

Level-set optimization formulations with data-driven constraints minimiz...

4 Robert Baraldi, et al. ∙

∙ 05/24/2018

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM

Many real-world data sets, especially in biology, are produced by highly...

0 German Abrevaya, et al. ∙

∙ 05/19/2018

M-estimation with the Trimmed l1 Penalty

We study high-dimensional M-estimators with the trimmed ℓ_1 penalty. Whi...

0 Jihun Yun, et al. ∙

∙ 04/23/2018

Simultaneous shot inversion for nonuniform geometries using fast data interpolation

Stochastic optimization is key to efficient inversion in PDE-constrained...

0 Michelle Liu, et al. ∙

∙ 08/26/2017

Distributed Bundle Adjustment

Most methods for Bundle Adjustment (BA) in computer vision are either ce...

0 Karthikeyan Natesan Ramamurthy, et al. ∙

∙ 10/04/2016

A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning

In this paper, we show how to transform any optimization problem that ar...

0 Aleksandr Aravkin, et al. ∙

∙ 05/26/2016

A General Family of Trimmed Estimators for Robust High-dimensional Data Analysis

We consider the problem of robustifying high-dimensional structured esti...

0 Eunho Yang, et al. ∙

∙ 01/19/2016

Variable projection without smoothness

The variable projection technique solves structured optimization problem...

0 Aleksandr Aravkin, et al. ∙

∙ 12/05/2013

Iterative Log Thresholding

Sparse reconstruction approaches using the re-weighted l1-penalty have b...

0 Dmitry Malioutov, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world