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Sanjay Ranka

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

Jan 11, 2024
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky

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

Jan 06, 2024
Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky

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A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications

Aug 23, 2023
Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan

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An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation

Jan 25, 2023
Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan

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Scalable Hybrid Learning Techniques for Scientific Data Compression

Dec 21, 2022
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka

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Expressing linear equality constraints in feedforward neural networks

Nov 08, 2022
Anand Rangarajan, Pan He, Jaemoon Lee, Tania Banerjee, Sanjay Ranka

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Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations

Sep 07, 2022
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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Slot Order Matters for Compositional Scene Understanding

Jun 03, 2022
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan

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Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions

Mar 23, 2022
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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Learning Scene Dynamics from Point Cloud Sequences

Nov 16, 2021
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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