activity
20172026
most citedOptimal Control, Numerics, and Applications of Fractional PDEs

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

eess.SP2026

Additive Noise, Shift Recovery, and Signed Signals in the Cumulative Distribution Transform

Harbir Antil, Ratna Khatri, Aryan Saxena

The cumulative distribution transform (CDT) is a quantile-based transport representation that exactly linearizes one-dimensional translations of positive densities. We study how th…

math.OC2025

OCTANE -- Optimal Control for Tensor-based Autoencoder Network Emergence: Explicit Case

Ratna Khatri, Anthony Kolshorn, Colin Olson +1

This paper presents a novel, mathematically rigorous framework for autoencoder-type deep neural networks that combines optimal control theory and low-rank tensor methods to yield m…

math.OC2021★ 1 cited

Optimal Control, Numerics, and Applications of Fractional PDEs

Harbir Antil, Thomas S. Brown, Ratna Khatri +3

This article provides a brief review of recent developments on two nonlocal operators: fractional Laplacian and fractional time derivative. We start by accounting for several appli…

math.OC2020

Fractional Deep Neural Network via Constrained Optimization

Harbir Antil, Ratna Khatri, Rainald Löhner +1

This paper introduces a novel algorithmic framework for a deep neural network (DNN), which in a mathematically rigorous manner, allows us to incorporate history (or memory) into th…

eess.IV2019

Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography

Harbir Antil, Zichao Di, Ratna Khatri

In this work we consider a generalized bilevel optimization framework for solving inverse problems. We introduce fractional Laplacian as a regularizer to improve the reconstruction…

math.OC2018

External optimal control of nonlocal PDEs

Harbir Antil, Ratna Khatri, Mahamadi Warma

Very recently M. Warma has shown that for nonlocal PDEs associated with the fractional Laplacian, the classical notion of controllability from the boundary does not make sense and…