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Conformal Prediction Intervals with Temporal Dependence


May 26, 2022
Zhen Lin , Shubhendu Trivedi , Jimeng Sun

* 15 pages (main paper, including references) + 4 pages (supplementary material) 

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Conformal Prediction with Temporal Quantile Adjustments


May 23, 2022
Zhen Lin , Shubhendu Trivedi , Jimeng Sun

* 12 pages (main paper, including references) + 11 pages (supplementary material) 

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Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks


Feb 15, 2022
Zhen Lin , Shubhendu Trivedi , Jimeng Sun


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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?


Oct 26, 2021
Matthew Farrell , Blake Bordelon , Shubhendu Trivedi , Cengiz Pehlevan

* v2: A duplicate References section heading was removed 

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Locally Valid and Discriminative Confidence Intervals for Deep Learning Models


Jun 01, 2021
Zhen Lin , Shubhendu Trivedi , Jimeng Sun


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DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning


Mar 08, 2021
Zhen Lin , Nicholas Huang , Camille Avestruz , W. L. Kimmy Wu , Shubhendu Trivedi , João Caldeira , Brian Nord


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Rotation-Invariant Autoencoders for Signals on Spheres


Dec 08, 2020
Suhas Lohit , Shubhendu Trivedi


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The Expected Jacobian Outerproduct: Theory and Empirics


Jun 05, 2020
Shubhendu Trivedi , J. Wang

* Technical Report 

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