Karthik S. Gurumoorthy | DeepAI

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∙ 04/18/2023

Cooperative Multi-Agent Reinforcement Learning for Inventory Management

With Reinforcement Learning (RL) for inventory management (IM) being a n...

0 Madhav Khirwar, et al. ∙

∙ 04/18/2023

Estimating Joint Probability Distribution With Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries

In this paper, we describe a method for estimating the joint probability...

0 Pranava Singhal, et al. ∙

∙ 04/13/2023

Analysis of Tomographic Reconstruction of 2D Images using the Distribution of Unknown Projection Angles

It is well known that a band-limited signal can be reconstructed from it...

0 Sheel Shah, et al. ∙

∙ 03/03/2022

Joint Probability Estimation Using Tensor Decomposition and Dictionaries

In this work, we study non-parametric estimation of joint probabilities ...

0 Shaan ul Haque, et al. ∙

∙ 02/09/2022

A decision-tree framework to select optimal box-sizes for product shipments

In package-handling facilities, boxes of varying sizes are used to ship ...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 01/21/2022

Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages

We develop a Causal-Deep Neural Network (CDNN) model trained in two stag...

0 Naveen Nair, et al. ∙

∙ 03/22/2021

Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections

Joint probability mass function (PMF) estimation is a fundamental machin...

0 Jian Vora, et al. ∙

∙ 03/18/2021

SPOT: A framework for selection of prototypes using optimal transport

In this work, we develop an optimal transport (OT) based framework to se...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 06/05/2020

Think out of the package: Recommending package types for e-commerce shipments

Multiple product attributes like dimensions, weight, fragility, liquid c...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 07/21/2018

Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection

In this paper, we show that if the optimization function is restricted-s...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 07/05/2017

ProtoDash: Fast Interpretable Prototype Selection

In this paper we propose an efficient algorithm ProtoDash for selecting ...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 02/28/2015

Sensitivity Analysis for additive STDP rule

Spike Timing Dependent Plasticity (STDP) is a Hebbian like synaptic lear...

0 Subhajit Sengupta, et al. ∙

∙ 11/13/2012

Gradient density estimation in arbitrary finite dimensions using the method of stationary phase

We prove that the density function of the gradient of a sufficiently smo...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 12/13/2011

A new variational principle for the Euclidean distance function: Linear approach to the non-linear eikonal problem

We present a fast convolution-based technique for computing an approxima...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 08/08/2011

An application of the stationary phase method for estimating probability densities of function derivatives

We prove a novel result wherein the density function of the gradients---...

0 Karthik S. Gurumoorthy, et al. ∙

∙ 04/19/2011

Distance Transform Gradient Density Estimation using the Stationary Phase Approximation

The complex wave representation (CWR) converts unsigned 2D distance tran...

0 Karthik S. Gurumoorthy, et al. ∙

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