Anuj Karpatne

Anuj Karpatne

Virginia Polytechnic Institute and State University

H-index: 27

North America-United States

About Anuj Karpatne

Anuj Karpatne, With an exceptional h-index of 27 and a recent h-index of 26 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of data mining, machine learning, theory-guided data science, spatio-temporal data, Earth science data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modular Compositional Learning Improves 1D Hydrodynamic Lake Model Performance by Merging Process‐Based Modeling With Deep Learning

A FAIR and modular image‐based workflow for knowledge discovery in the emerging field of imageomics

Knowledge-guided Machine Learning: Current Trends and Future Prospects

Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning

Motion Enhanced Multi‐Level Tracker (MEMTrack): A Deep Learning‐Based Approach to Microrobot Tracking in Dense and Low‐Contrast Environments

Let there be order: Rethinking ordering in autoregressive graph generation

MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments

Improving the Accuracy of Physics-Based Hydration-Free Energy Predictions by Machine Learning the Remaining Error Relative to the Experiment

Anuj Karpatne Information

University

Position

___

Citations(all)

5122

Citations(since 2020)

4804

Cited By

1557

hIndex(all)

27

hIndex(since 2020)

26

i10Index(all)

43

i10Index(since 2020)

38

Email

University Profile Page

Virginia Polytechnic Institute and State University

Google Scholar

View Google Scholar Profile

Anuj Karpatne Skills & Research Interests

data mining

machine learning

theory-guided data science

spatio-temporal data

Earth science data

Top articles of Anuj Karpatne

Title

Journal

Author(s)

Publication Date

Modular Compositional Learning Improves 1D Hydrodynamic Lake Model Performance by Merging Process‐Based Modeling With Deep Learning

Journal of Advances in Modeling Earth Systems

Robert Ladwig

Arka Daw

Ellen A Albright

Cal Buelo

Anuj Karpatne

...

2024/1

A FAIR and modular image‐based workflow for knowledge discovery in the emerging field of imageomics

Meghan A Balk

John Bradley

M Maruf

Bahadir Altintaş

Yasin Bakiş

...

2024/4

Knowledge-guided Machine Learning: Current Trends and Future Prospects

arXiv preprint arXiv:2403.15989

Anuj Karpatne

Xiaowei Jia

Vipin Kumar

2024/3/24

Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning

Biosensors and Bioelectronics

Junru Zhang

Purna Srivatsa

Fazel Haq Ahmadzai

Yang Liu

Xuerui Song

...

2024/2/15

Motion Enhanced Multi‐Level Tracker (MEMTrack): A Deep Learning‐Based Approach to Microrobot Tracking in Dense and Low‐Contrast Environments

Advanced Intelligent Systems

Medha Sawhney

Bhas Karmarkar

Eric J Leaman

Arka Daw

Anuj Karpatne

...

2024

Let there be order: Rethinking ordering in autoregressive graph generation

arXiv preprint arXiv:2305.15562

Jie Bu

Kazi Sajeed Mehrab

Anuj Karpatne

2023/5/24

MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments

arXiv preprint arXiv:2310.09441

Medha Sawhney

Bhas Karmarkar

Eric J Leaman

Arka Daw

Anuj Karpatne

...

2023/10/13

Improving the Accuracy of Physics-Based Hydration-Free Energy Predictions by Machine Learning the Remaining Error Relative to the Experiment

Journal of Chemical Theory and Computation

Lewis Bass

Luke H Elder

Dan E Folescu

Negin Forouzesh

Igor S Tolokh

...

2023/12/27

Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method

arXiv preprint arXiv:2309.14601

Mohannad Elhamod

Anuj Karpatne

2023/9/26

Satellite image classification across multiple resolutions and time using ordering constraint among instances

2023/4/11

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis

arXiv preprint arXiv:2311.04157

Dipanjyoti Paul

Arpita Chowdhury

Xinqi Xiong

Feng-Ju Chang

David Carlyn

...

2023/11/7

Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation

arXiv preprint arXiv:2308.11052

M Maruf

Arka Daw

Amartya Dutta

Jie Bu

Anuj Karpatne

2023/8/21

SIGAI Annual Report: July 1 2021-June 30 2022

AI Matters

Sanmay Das

Nicholas Mattei

John P Dickerson

Sven Koenig

Louise Dennis

...

2023/2/15

Reduction of Biosensor False Responses and Time Delay Using Dynamic Response and Theory-Guided Machine Learning

ACS sensors

Junru Zhang

Purna Srivatsa

Fazel Haq Ahmadzai

Yang Liu

Xuerui Song

...

2023/11/6

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks

Mohannad Elhamod

Mridul Khurana

Harish Babu Manogaran

Josef C Uyeda

Meghan A Balk

...

2023/8/6

Physics-Guided Problem Decomposition for Scaling Deep Learning of Quantum Spin Models

APS March Meeting Abstracts

Wei-Cheng Lee

Sangeeta Srivastava

Samuel Olin

Viktor Podolskiy

Anuj Karpatne

...

2023

SIGAI Annual Report: July 1 2022---August 30 2023

AI Matters

Sanmay Das

Nicholas Mattei

John P Dickerson

Sven Koenig

Louise Dennis

...

2023/10/20

Welcome to AI Matters 9 (1)

AI Matters

Ziyu Yao

Anuj Karpatne

2023/7/19

A data-driven approach to full-field nonlinear stress distribution and failure pattern prediction in composites using deep learning

Computer Methods in Applied Mechanics and Engineering

Reza Sepasdar

Anuj Karpatne

Maryam Shakiba

2022/7/1

Knowledge guided machine learning: Accelerating discovery using scientific knowledge and data

Anuj Karpatne

Ramakrishnan Kannan

Vipin Kumar

2022/8/15

See List of Professors in Anuj Karpatne University(Virginia Polytechnic Institute and State University)