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20182022
most citedIRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery

42 citations · 48 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.LG20221 cited

An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations

Dipendra Jha, K. V. L. V. Narayanachari, Ruifeng Zhang +7

Despite the huge advancement in knowledge discovery and data mining techniques, the X-ray diffraction (XRD) analysis process has mostly remained untouched and still involves manual…

cs.LG2022

Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection

Dipendra Jha, Ata Mahjoubfar, Anupama Joshi

On-Shelf Availability (OSA) of products in retail stores is a critical business criterion in the fast moving consumer goods and retails sector. When a product is out-of-stock (OOS)…

cs.LG20215 cited

A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

Zijiang Yang, Dipendra Jha, Arindam Paul +3

Microstructural materials design is one of the most important applications of inverse modeling in materials science. Generally speaking, there are two broad modeling paradigms in s…

cs.LG2019

Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening

Arindam Paul, Dipendra Jha, Reda Al-Bahrani +3

Organic Solar Cells are a promising technology for solving the clean energy crisis in the world. However, generating candidate chemical compounds for solar cells is a time-consumin…

cs.LG2018

CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations

Arindam Paul, Dipendra Jha, Reda Al-Bahrani +3

SMILES is a linear representation of chemical structures which encodes the connection table, and the stereochemistry of a molecule as a line of text with a grammar structure denoti…