works on

From the 2 of 29 linked papers with an AI index.

activity
20242026
collaborators

29 papers

math.AP2026

Reduced Order Modeling of One-Dimensional Conservative PDEs via the Cumulative Distribution Transform

Harbir Antil, Rocío Díaz Martín, Ivan V. Medri +4

We propose a reduced order modeling (ROM) framework for 1D conservative PDEs based on the cumulative distribution transform (CDT). The CDT maps nonnegative, equal-mass states into…

eess.IV2026

ESAR: Event-Based Synthetic Aperture Reconstruction

Harbir Antil, Daniel Blauvelt, David Sayre

The paper formulates monocular event‑camera imaging as a synthetic‑aperture inverse problem for a static log‑radiance field, using a linear model and regularized inversion to recov…

math.NA2026

Duality Framework for Flux Constrained Flow in Porous Media: Analysis and Numerics

Harbir Antil, Keegan L. A. Kirk, Felipe Pérez

The paper develops a duality-based formulation for Darcy flow in saturated porous media with bilateral flux constraints on part of the boundary, analyzes its mathematical propertie…

math.NA2026

A Finite Element Approximation of an Optimal Insulation Problem with Convective Heat Transfer

Harbir Antil, Alex Kaltenbach, Keegan L. A. Kirk

A finite element discretization of an optimal insulation problem with convective heat transfer is considered. The model is formulated as a non-smooth, two-variable convex minimizat…

math.ST2026

A Discrete Cumulative Distribution Transform via Optimal Transport

Harbir Antil, Gustavo Rohde, Aryan Saxena

This paper develops a fully discrete cumulative distribution transform (CDT) for atomic probability measures on the real line. The transform is defined through monotone quantile ma…

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…