Shubhendu Trivedi

Shubhendu Trivedi

Massachusetts Institute of Technology

H-index: 16

North America-United States

About Shubhendu Trivedi

Shubhendu Trivedi, With an exceptional h-index of 16 and a recent h-index of 12 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine Learning, Deep Learning, Applied Mathematics, Machine Learning for the Physical Sciences, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and transduction

Artificial-intelligence-backed performance prediction tool

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

Generating with confidence: Uncertainty quantification for black-box large language models

Approximation-Generalization Trade-offs under (Approximate) Group Equivariance

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control

Conformal Prediction Intervals with Temporal Dependence

Conformal Prediction with Temporal Quantile Adjustments

Shubhendu Trivedi Information

University

Position

___

Citations(all)

1532

Citations(since 2020)

1255

Cited By

685

hIndex(all)

16

hIndex(since 2020)

12

i10Index(all)

20

i10Index(since 2020)

15

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Shubhendu Trivedi Skills & Research Interests

Machine Learning

Deep Learning

Applied Mathematics

Machine Learning for the Physical Sciences

Computer Vision

Top articles of Shubhendu Trivedi

Title

Journal

Author(s)

Publication Date

Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and transduction

arXiv preprint arXiv:2402.01629

Mircea Petrache

Shubhendu Trivedi

2024/2/2

Artificial-intelligence-backed performance prediction tool

2023/5/4

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

ICLR 2023

Zhen Lin

Shubhendu Trivedi

Jimeng Sun

2023

Generating with confidence: Uncertainty quantification for black-box large language models

Transactions on Machine Learning Research

Zhen Lin

Shubhendu Trivedi

Jimeng Sun

2024/5

Approximation-Generalization Trade-offs under (Approximate) Group Equivariance

Advances in Neural Information Processing Systems

Mircea Petrache

Shubhendu Trivedi

2023/5/27

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control

Zhen Lin

Shubhendu Trivedi

Cao Xiao

Jimeng Sun

2023

Conformal Prediction Intervals with Temporal Dependence

Transactions on Machine Learning Research

Zhen Lin

Shubhendu Trivedi

Jimeng Sun

2022/5/25

Conformal Prediction with Temporal Quantile Adjustments

Advances in Neural Information Processing Systems 35

Zhen Lin

Shubhendu Trivedi

Jimeng Sun

2022/5/20

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

International Conference on Learning Representations

Matthew Farrell

Blake Bordelon

Shubhendu Trivedi

Cengiz Pehlevan

2022/1

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

Monthly Notices of the Royal Astronomical Society

Zhen Lin

Nicholas Huang

Camille Avestruz

WL Wu

Shubhendu Trivedi

...

2021/11

Locally Valid and Discriminative Prediction Intervals for Deep Learning Models

Advances in Neural Information Processing Systems 34

Zhen Lin

Shubhendu Trivedi

Jimeng Sun

2021/6/1

Rotation-invariant autoencoders for signals on spheres

arXiv preprint arXiv:2012.04474

Suhas Lohit

Shubhendu Trivedi

2020/12/8

The Expected Jacobian Outerproduct: Theory and Empirics

arXiv preprint arXiv:2006.03550

Shubhendu Trivedi

J Wang

2020/6/5

Deep learning for automated classification and characterization of amorphous materials

Soft matter

Kirk Swanson

Shubhendu Trivedi

Joshua Lequieu

Kyle Swanson

Risi Kondor

2020

See List of Professors in Shubhendu Trivedi University(Massachusetts Institute of Technology)

Co-Authors

H-index: 87
Jimeng Sun

Jimeng Sun

University of Illinois at Urbana-Champaign

H-index: 66
David McAllester

David McAllester

Toyota Technological Institute

H-index: 44
Greg Shakhnarovich

Greg Shakhnarovich

Toyota Technological Institute

H-index: 34
W.L. Kimmy Wu

W.L. Kimmy Wu

Stanford University

H-index: 33
Zachary A. Pardos

Zachary A. Pardos

University of California, Berkeley

H-index: 30
Risi Kondor

Risi Kondor

University of Chicago

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