Shubhendu Trivedi
Massachusetts Institute of Technology
H-index: 16
North America-United States
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 |