Vinod Kumar Chauhan | DeepAI

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∙ 06/12/2023

A Brief Review of Hypernetworks in Deep Learning

Hypernetworks, or hypernets in short, are neural networks that generate ...

6 Vinod Kumar Chauhan, et al. ∙

∙ 05/25/2023

Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation

Existing heterogeneous treatment effects learners, also known as conditi...

6 Vinod Kumar Chauhan, et al. ∙

∙ 02/28/2023

Synthesizing Mixed-type Electronic Health Records using Diffusion Models

Electronic Health Records (EHRs) contain sensitive patient information, ...

10 Taha Ceritli, et al. ∙

∙ 10/21/2022

Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing

Supplier selection and order allocation (SSOA) are key strategic decisio...

0 Vinod Kumar Chauhan, et al. ∙

∙ 10/19/2022

A network science approach to identify disruptive elements of an airline

Nowadays, flight delays are quite notorious and propagate from an origin...

0 Vinod Kumar Chauhan, et al. ∙

∙ 10/19/2022

Exploitation of material consolidation trade-offs in a multi-tier complex supply networks

While consolidation strategies form the backbone of many supply chain op...

0 Vinod Kumar Chauhan, et al. ∙

∙ 10/19/2022

Adversarial De-confounding in Individualised Treatment Effects Estimation

Observational studies have recently received significant attention from ...

3 Vinod Kumar Chauhan, et al. ∙

∙ 09/19/2022

Trolley optimisation: An extension of bin packing to load PCB components

A trolley is a container for loading printed circuit board (PCB) compone...

0 Vinod Kumar Chauhan, et al. ∙

∙ 08/05/2022

COPER: Continuous Patient State Perceiver

In electronic health records (EHRs), irregular time-series (ITS) occur n...

24 Vinod Kumar Chauhan, et al. ∙

∙ 08/15/2021

HCR-Net: A deep learning based script independent handwritten character recognition network

Handwritten character recognition (HCR) is a challenging learning proble...

0 Vinod Kumar Chauhan, et al. ∙

∙ 04/20/2019

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

LIBS2ML is a library based on scalable second order learning algorithms ...

0 Vinod Kumar Chauhan, et al. ∙

∙ 12/26/2018

Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning

Nowadays stochastic approximation methods are one of the major research ...

0 Vinod Kumar Chauhan, et al. ∙

∙ 07/24/2018

SAAGs: Biased Stochastic Variance Reduction Methods

Stochastic optimization is one of the effective approach to deal with th...

0 Vinod Kumar Chauhan, et al. ∙

∙ 01/18/2018

Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques

Now a days, the major challenge in machine learning is the `Big Data' ch...

0 Vinod Kumar Chauhan, et al. ∙

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