| On the generalization of equivariance and convolution in neural networks to the action of compact groups R Kondor, S Trivedi International Conference on Machine Learning, 2747-2755, 2018 | 533 | 2018 |
| Clebsch-gordan nets: a fully fourier space spherical convolutional neural network R Kondor, Z Lin, S Trivedi Advances in Neural Information Processing Systems 31, 10138–10147, 2018 | 292 | 2018 |
| Covariant compositional networks for learning graphs R Kondor, HT Son, H Pan, B Anderson, S Trivedi 6th International Conference on Learning Representations, Vancouver, BC …, 2018 | 159* | 2018 |
| Generating with confidence: Uncertainty quantification for black-box large language models Z Lin, S Trivedi, J Sun Transactions on Machine Learning Research, 2024 | 109 | 2024 |
| Predicting molecular properties with covariant compositional networks TS Hy, S Trivedi, H Pan, BM Anderson, R Kondor The Journal of Chemical Physics 148 (24), 241745, 2018 | 96 | 2018 |
| DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks J Caldeira, WLK Wu, B Nord, C Avestruz, S Trivedi, KT Story Astronomy and Computing 28, 100307, 2019 | 84 | 2019 |
| Clustering students to generate an ensemble to improve standard test score predictions S Trivedi, ZA Pardos, NT Heffernan Artificial Intelligence in Education: 15th International Conference, AIED …, 2011 | 79 | 2011 |
| Spectral clustering in educational data mining S Trivedi, Z Pardos, G Sárközy, N Heffernan Educational Data Mining 2011, 2011 | 65 | 2011 |
| The utility of clustering in prediction tasks S Trivedi, ZA Pardos, NT Heffernan arXiv preprint arXiv:1509.06163, 2015 | 61 | 2015 |
| Deep learning for automated classification and characterization of amorphous materials K Swanson, S Trivedi, J Lequieu, K Swanson, R Kondor Soft Matter, The Royal Society of Chemistry, 2020 | 45 | 2020 |
| Clustered knowledge tracing ZA Pardos, S Trivedi, NT Heffernan, GN Sárközy Intelligent Tutoring Systems, 405-410, 2012 | 41 | 2012 |
| A Consistent Estimator of the Expected Gradient Outerproduct. S Trivedi, J Wang, S Kpotufe, G Shakhnarovich Uncertainty in Artificial Intelligence, 819-828, 2014 | 27 | 2014 |
| The Real World Significance of Performance Prediction. ZA Pardos, QY Wang, S Trivedi International Educational Data Mining Society, 2012 | 24 | 2012 |
| Locally Valid and Discriminative Prediction Intervals for Deep Learning Models Z Lin, S Trivedi, J Sun Advances in Neural Information Processing Systems 34, 8378--8391, 2021 | 22 | 2021 |
| Conformal Prediction with Temporal Quantile Adjustments Z Lin, S Trivedi, J Sun Advances in Neural Information Processing Systems 35, 31017--31030, 2022 | 20 | 2022 |
| DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning Z Lin, N Huang, C Avestruz, WL Wu, S Trivedi, J Caldeira, B Nord Monthly Notices of the Royal Astronomical Society 507 (3), 4149–4164, 2021 | 19 | 2021 |
| A practical regularity partitioning algorithm and its applications in clustering GN Sárközy, F Song, E Szemerédi, S Trivedi arXiv preprint arXiv:1209.6540, 2012 | 18* | 2012 |
| Face recognition using eigenfaces and distance classifiers: A tutorial S Trivedi URL: http://onionesquereality. wordpress. com/2009/02/11/facerecognition …, 2009 | 16* | 2009 |
| Discriminative metric learning by neighborhood gerrymandering S Trivedi, D Mcallester, G Shakhnarovich Advances in Neural Information Processing Systems 27, 3392-3400, 2014 | 15 | 2014 |
| Conformal Prediction Intervals with Temporal Dependence Z Lin, S Trivedi, J Sun Transactions on Machine Learning Research, 2022 | 14 | 2022 |
Risi KondorAssociate Professor, The University of ChicagoVerified email at cs.uchicago.edu
