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Results for: Anuj Karpatne

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Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling
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A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
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Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids
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Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation
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Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
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Welcome to AI matters
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Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems
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A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning
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Welcome to AI Matters 6(1)
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Mining Sub-Interval Relationships In Time Series Data
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Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
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Spatio-Temporal Data Mining: A Survey of Problems and Methods
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Machine Learning for the Geosciences: Challenges and Opportunities
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Rethinking the Importance of Sampling in Physics-informed Neural Networks
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Welcome to AI matters 6(2)
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Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs
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PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics
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SIGAI annual report: July 1 2019 - June 30 2020
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GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization
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Welcome to AI Matters 7(1)
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Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling
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Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species
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CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems
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Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method
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Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring
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Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation
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Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
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Welcome to AI Matters 7(2)
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Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
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MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments
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Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach
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Welcome to AI matters 6(3)
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A Graph Convolutional Neural Network Based Approach for Traffic Monitoring Using Augmented Detections with Optical Flow
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Physics-Guided AI for Large-Scale Spatiotemporal Data
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A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning
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A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning
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Scientists partner on multi-university grant to establish a field of ‘imageomics’ , article
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IS-GEO announces Anuj Karpatne as 2019 inaugural Fellow , article
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Researchers receive grant to predict the mechanics of living cells , article
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Making a CAREER on bridging scientific knowledge and AI , article
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Sanghani Center and CAIA cultivate transdisciplinary research in agriculture, AI, and data analytics , article
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Building a COMPASS to navigate future pandemics , article
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Anuj Karpatne , bio