Publications

Publications authored with Anuj Karpatne 

New! Rethinking the Importance of Sampling in Physics-informed Neural Networks

Arka Daw, Jie Bu, Anuj Karpatne 
In Cornell University, : , 07/2022
Citatations: BibTeX

New! Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger’s Equation

Anuj Karpatne 
In Cornell University, : , 02/2022
Citatations: BibTeX

New! A Graph Convolutional Neural Network Based Approach for Traffic Monitoring Using Augmented Detections with Optical Flow

Ioannis Papakis, Anuj Karpatne 
In Proceedings of the IEEE International Conference on Intelligent Transportation Systems, (pp 2980-2986), 10/2021
Citatations: BibTeX

New! A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Reza Sepasdar, Anuj Karpatne 
In Cornell University, : , 04/2021
Citatations: BibTeX

New! Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems

Anuj Karpatne 
In Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, (pp ),
Citatations: BibTeX

New! Welcome to AI Matters 7(2)

Anuj Karpatne 
In Special Interest Group on Artificial Intelligence, 7 2: 3-4, 08/2021
Citatations: BibTeX

New! A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Reza Sepasdar, Anuj Karpatne 
In Cornell University, : , 04/2021
Citatations: BibTeX

New! Physics-Guided AI for Large-Scale Spatiotemporal Data

Anuj Karpatne 
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 4088–4089), 08/2021
Citatations: BibTeX

New! Welcome to AI Matters 7(1)

Anuj Karpatne 
In Special Interest Group on Artificial Intelligence, 7 1: , 07/2021
Citatations: BibTeX

New! GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization

Anuj Karpatne 
In Cornell University, : , 04/2021
Citatations: BibTeX

New! Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach

Anuj Karpatne , M. Maruf
In Cornell University, : , 01/2021
Citatations: BibTeX

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

Jie Bu, Anuj Karpatne 
In Cornell University, : , 06/2021
Citatations: BibTeX

New! Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species

Anuj Karpatne 
In Proceedings of the Metadata and Semantic Research, (pp 3-12), 03/2021
Citatations: BibTeX

New! Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling

Anuj Karpatne 
In Proceedings of the IEEE International Symposium on Geoscience and Remote Sensing, (pp 3494-3496), 02/2021
Citatations: BibTeX

New! Welcome to AI matters 6(3)

Anuj Karpatne 
In Special Interest Group on Artificial Intelligence, 6 3: 3-4, 02/2021
Citatations: BibTeX

New! SIGAI annual report: July 1 2019 – June 30 2020

Anuj Karpatne 
In Special Interest Group on Artificial Intelligence, 6 2: 5-9, 01/2021
Citatations: BibTeX

New! Welcome to AI Matters 6(1)

Anuj Karpatne 
In Special Interest Group on Artificial Intelligence, 6 1: 3-4, 01/2021
Citatations: BibTeX

New! Welcome to AI matters 6(2)

Anuj Karpatne 
In Special Interest Group on Artificial Intelligence, 6 2: 3-4, 01/2021
Citatations: BibTeX

New! PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics

Arka Daw, Anuj Karpatne 
In Cornell University, : , 06/2021
Citatations: BibTeX

New! A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Reza Sepasdar, Anuj Karpatne 
In Cornell University, : , 04/2021
Citatations: BibTeX

New! Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs

Jie Bu, Anuj Karpatne 
In Cornell University, : , 01/2021
Citatations: BibTeX

New! PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly

Nikhil Muralidhar, Jie Bu, Naren Ramakrishnan, Anuj Karpatne 
In Proceedings of the SIAM International Conference on Data Mining, (pp 559-567),
Citatations: BibTeX

New! Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems

Nikhil Muralidhar, Jie Bu, Naren Ramakrishnan, Anuj Karpatne 
In Big Data, 8 5: 431-449, 10/2020
Citatations: BibTeX

New! Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Anuj Karpatne 
In Cornell University, : , 01/2020
Citatations: BibTeX

New! Welcome to AI matters

Anuj Karpatne 
In Special Interest Group on Artificial Intelligence, 5 4: 3-4, 02/2020
Citatations: BibTeX

New! Machine Learning for the Geosciences: Challenges and Opportunities

Anuj Karpatne 
In IEEE Transactions on Knowledge and Data Engineering, 31 8: 1544-1554, 07/2018
Citatations: BibTeX

New! Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring

Anuj Karpatne 
In Proceedings of the International Joint Conference on Artificial Intelligence, (pp 2628-2634),
Citatations: BibTeX

New! Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection

Anuj Karpatne 
In Proceedings of the SIAM International Conference on Data Mining, (pp 513-521),
Citatations: BibTeX

New! Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection

Anuj Karpatne 
In Proceedings of the SIAM International Conference on Data Mining, (pp 540-548),
Citatations: BibTeX

New! Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

Anuj Karpatne 
In Proceedings of the SIAM International Conference on Data Mining, (pp 558-566),
Citatations: BibTeX

New! Spatio-Temporal Data Mining: A Survey of Problems and Methods

Anuj Karpatne 
In ACM Computing Surveys, 51 4: 1-41, 08/2018
Citatations: BibTeX

New! Mining Sub-Interval Relationships In Time Series Data

Anuj Karpatne 
In Cornell University, : , 02/2018
Citatations: BibTeX

New! Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes

Anuj Karpatne 
In Cornell University, : , 10/2018
Citatations: BibTeX

New! A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series

Anuj Karpatne 
In Cornell University, : , 06/2019
Citatations: BibTeX

New! Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling

Arka Daw, Anuj Karpatne 
In Cornell University, : , 11/2019
Citatations: BibTeX

New! Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids

Nikhil Muralidhar, Jie Bu, Naren Ramakrishnan, Anuj Karpatne 
In Cornell University, : , 11/2019
Citatations: BibTeX