| 2025 | AISTATS | Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks. | Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi |
| 2024 | EMNLP | Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. | Zhen Lin, Shubhendu Trivedi, Jimeng Sun |
| 2023 | ICLR | Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. | Zhen Lin, Shubhendu Trivedi, Jimeng Sun |
| 2023 | ICML | Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. | Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun |
| 2022 | ICLR | 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 |
| 2018 | ICLR | Covariant Compositional Networks For Learning Graphs. | Risi Kondor, Hy Truong Son, Horace Pan, Brandon M. Anderson, Shubhendu Trivedi |
| 2018 | ICML | On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups. | Risi Kondor, Shubhendu Trivedi |
| 2014 | UAI | A Consistent Estimator of the Expected Gradient Outerproduct. | Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich |
| 2013 | FlAIRS | Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods. | Fei Song, Shubhendu Trivedi, Yutao Wang, Gbor N. Srkzy, Neil T. Heffernan |
| 2012 | EDM | The real world significance of performance prediction. | Zachary A. Pardos, Qing Yang Wang, Shubhendu Trivedi |
| 2012 | EDM | Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction. | Shubhendu Trivedi, Zachary A. Pardos, Gbor N. Srkzy, Neil T. Heffernan |
| 2012 | ITS | Clustered Knowledge Tracing. | Zachary A. Pardos, Shubhendu Trivedi, Neil T. Heffernan, Gbor N. Srkzy |
| 2011 | AIED | Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions. | Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan |
| 2011 | EDM | Spectral Clustering in Educational Data Mining. | Shubhendu Trivedi, Zachary A. Pardos, Gbor N. Srkzy, Neil T. Heffernan |