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Anand Rangarajan

MTDT: A Multi-Task Deep Learning Digital Twin

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May 02, 2024
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Machine Learning Techniques for Data Reduction of Climate Applications

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May 01, 2024
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Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation

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Apr 11, 2024
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MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

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Jan 11, 2024
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Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis

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Jan 06, 2024
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A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications

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Aug 23, 2023
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An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation

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Jan 25, 2023
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Scalable Hybrid Learning Techniques for Scientific Data Compression

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Dec 21, 2022
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Expressing linear equality constraints in feedforward neural networks

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Nov 08, 2022
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Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations

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Sep 07, 2022
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