activity
20172023
most citedDeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets

5 citations · 12 across the 6 of their papers we have counts for

collaborators

10 papers

stat.ML20232 cited

Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD

Matthew Faw, Litu Rout, Constantine Caramanis +1

This work considers the problem of finding a first-order stationary point of a non-convex function with potentially unbounded smoothness constant using a stochastic gradient oracle…

stat.ML20234 cited

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models

Litu Rout, Advait Parulekar, Constantine Caramanis +1

We provide a theoretical justification for sample recovery using diffusion based image inpainting in a linear model setting. While most inpainting algorithms require retraining wit…

cs.LG2020

Understanding the Role of Adversarial Regularization in Supervised Learning

Litu Rout

Despite numerous attempts sought to provide empirical evidence of adversarial regularization outperforming sole supervision, the theoretical understanding of such phenomena remains…

cs.LG2020

Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability

Litu Rout

Long after Turing's seminal Reaction-Diffusion (RD) model, the elegance of his fundamental equations alleviated much of the skepticism surrounding pattern formation. Though Turing…

cs.CV2020

Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution

Litu Rout, Saumyaa Shah, S Manthira Moorthi +1

In the past few years supervised and adversarial learning have been widely adopted in various complex computer vision tasks. It seems natural to wonder whether another branch of ar…

eess.IV2020

S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis

Litu Rout, Indranil Misra, S Manthira Moorthi +1

Intersection of adversarial learning and satellite image processing is an emerging field in remote sensing. In this study, we intend to address synthesis of high resolution multi-s…