ML Anthology

Trivedi, Shubhendu

18 publications

TMLR 2026 Watermarking Degrades Alignment in Language Models: Analysis and Mitigation Apurv Verma, Hai Phan, Shubhendu Trivedi
NeurIPS 2025 On Universality Classes of Equivariant Networks Marco Pacini, Gabriele Santin, Bruno Lepri, Shubhendu Trivedi
AISTATS 2025 Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi
ICLRW 2025 Watermarking Degrades Alignment in Language Models: Analysis and Mitigation Apurv Verma, Hai Phan, Shubhendu Trivedi
TMLR 2024 Generating with Confidence: Uncertainty Quantification for Black-Box Large Language Models Zhen Lin, Shubhendu Trivedi, Jimeng Sun
NeurIPS 2024 Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou, Evangelos Chatzipantazis, Shubhendu Trivedi, Kostas Daniilidis
NeurIPS 2023 Approximation-Generalization Trade-Offs Under (Approximate) Group Equivariance Mircea Petrache, Shubhendu Trivedi
ICML 2023 Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
ICLR 2023 Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks Zhen Lin, Shubhendu Trivedi, Jimeng Sun
ICLR 2022 Capacity of Group-Invariant Linear Readouts from Equivariant Representations: How Many Objects Can Be Linearly Classified Under All Possible Views? Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
NeurIPSW 2022 Capacity of Group-Invariant Linear Readouts from Equivariant Representations: How Many Objects Can Be Linearly Classified Under All Possible Views? Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
TMLR 2022 Conformal Prediction Intervals with Temporal Dependence Zhen Lin, Shubhendu Trivedi, Jimeng Sun
NeurIPS 2022 Conformal Prediction with Temporal Quantile Adjustments Zhen Lin, Shubhendu Trivedi, Jimeng Sun
NeurIPS 2021 Locally Valid and Discriminative Prediction Intervals for Deep Learning Models Zhen Lin, Shubhendu Trivedi, Jimeng Sun
NeurIPS 2018 Clebsch–Gordan Nets: A Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor, Zhen Lin, Shubhendu Trivedi
ICML 2018 On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor, Shubhendu Trivedi
UAI 2014 A Consistent Estimator of the Expected Gradient Outerproduct Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich
NeurIPS 2014 Discriminative Metric Learning by Neighborhood Gerrymandering Shubhendu Trivedi, David Mcallester, Greg Shakhnarovich