Rohit Agrawal | DeepAI

AI Chat

Featured Co-authors

Thomas Wick
35 publications
Salil Vadhan
21 publications
Akash Kumar
18 publications
Abhishek Srivastava
17 publications
Kapil Ahuja
14 publications
Michael Pellauer
11 publications
Thibaut Horel
9 publications
Christopher W. Fletcher
9 publications
Kartik Hegde
4 publications
Mengjia Yan
4 publications
Marc C. Steinbach
3 publications

∙ 03/02/2022

Finite-sample concentration of the empirical relative entropy around its mean

In this note, we show that the relative entropy of an empirical distribu...

0 Rohit Agrawal, et al. ∙

∙ 10/21/2021

SABMIS: Sparse approximation based blind multi-image steganography scheme

Steganography is a technique of hiding secret data in some unsuspected c...

0 Rohit Agrawal, et al. ∙

∙ 01/03/2021

CSIS: compressed sensing-based enhanced-embedding capacity image steganography scheme

Image steganography plays a vital role in securing secret data by embedd...

0 Rohit Agrawal, et al. ∙

∙ 07/09/2020

ℓ_1SABMIS: ℓ_1-minimization and sparse approximation based blind multi-image steganography scheme

Steganography plays a vital role in achieving secret data security by em...

0 Rohit Agrawal, et al. ∙

∙ 06/10/2020

Optimal Bounds between f-Divergences and Integral Probability Metrics

The families of f-divergences (e.g. the Kullback-Leibler divergence) and...

0 Rohit Agrawal, et al. ∙

∙ 06/29/2019

HTS: A Hardware Task Scheduler for Heterogeneous Systems

As the Moore's scaling era comes to an end, application specific hardwar...

0 Kartik Hegde, et al. ∙

∙ 06/10/2019

Coin Theorems and the Fourier Expansion

In this note we compare two measures of the complexity of a class F of B...

0 Rohit Agrawal, et al. ∙

∙ 04/17/2019

Samplers and extractors for unbounded functions

Blasiok (SODA'18) recently introduced the notion of a subgaussian sample...

0 Rohit Agrawal, et al. ∙

∙ 04/04/2019

Concentration of the multinomial in Kullback-Leibler divergence near the ratio of alphabet and sample sizes

We bound the moment generating function of the Kullback-Leibler divergen...

0 Rohit Agrawal, et al. ∙

∙ 02/28/2019

Unifying computational entropies via Kullback-Leibler divergence

We introduce KL-hardness, a new notion of hardness for search problems w...

0 Rohit Agrawal, et al. ∙

∙ 10/16/2018

Morph: Flexible Acceleration for 3D CNN-based Video Understanding

The past several years have seen both an explosion in the use of Convolu...

0 Kartik Hegde, et al. ∙

∙ 04/18/2018

UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition

Convolutional Neural Networks (CNNs) have begun to permeate all corners ...

0 Kartik Hegde, et al. ∙

∙ 03/11/2018

Parallel FPGA Router using Sub-Gradient method and Steiner tree

In the FPGA (Field Programmable Gate Arrays) design flow, one of the mos...

0 Rohit Agrawal, et al. ∙

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