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Gaurav Gupta

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Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs

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Mar 15, 2024
S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Yuyang Wang

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Neuro-Inspired Hierarchical Multimodal Learning

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Sep 27, 2023
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan

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CAPS: A Practical Partition Index for Filtered Similarity Search

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Aug 29, 2023
Gaurav Gupta, Jonah Yi, Benjamin Coleman, Chen Luo, Vihan Lakshman, Anshumali Shrivastava

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StyleGAN3: Generative Networks for Improving the Equivariance of Translation and Rotation

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Jul 08, 2023
Tianlei Zhu, Junqi Chen, Renzhe Zhu, Gaurav Gupta

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Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting

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May 26, 2023
Hilaf Hasson, Danielle C. Maddix, Yuyang Wang, Gaurav Gupta, Youngsuk Park

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Fractional dynamics foster deep learning of COPD stage prediction

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Mar 13, 2023
Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M Mannino, Stefan Mihaicuta

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Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations

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Mar 04, 2023
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan

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Learning Physical Models that Can Respect Conservation Laws

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Feb 21, 2023
Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney

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Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond

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Dec 21, 2022
Shen Zheng, Yiling Ma, Jinqian Pan, Changjie Lu, Gaurav Gupta

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First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

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Dec 15, 2022
Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang

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