| Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding R Sonthalia, AC Gilbert Neural Information Processing Systems 2020, 2020 | 47 | 2020 |
| Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network M Krenn, L Buffoni, B Coutinho, S Eppel, JG Foster, A Gritsevskiy, H Lee, ... Nature Machine Intelligence 5 (11), 1326-1335, 2023 | 18* | 2023 |
| Unsupervised metric learning in presence of missing data AC Gilbert, R Sonthalia 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 18* | 2018 |
| An analysis of COVID-19 knowledge graph construction and applications D Flocco, B Palmer-Toy, R Wang, H Zhu, R Sonthalia, J Lin, AL Bertozzi, ... 2021 IEEE International Conference on Big Data (Big Data), 2631-2640, 2021 | 13 | 2021 |
| Generalized Metric Repair on Graphs C Fan, AC Gilbert, B Raichel, R Sonthalia, G Van Buskirk Scandinavian Workshop on Algorithm Theory 2020, 2019 | 12* | 2019 |
| Project and forget: solving large-scale metric constrained problems R Sonthalia, AC Gilbert The Journal of Machine Learning Research 23 (1), 14663-14716, 2022 | 8* | 2022 |
| Training data size induced double descent for denoising feedforward neural networks and the role of training noise R Sonthalia, RR Nadakuditi Transactions on Machine Learning Research, 2023 | 6 | 2023 |
| Under-Parameterized Double Descent for Ridge Regularized Least Squares Denoising of Data on a Line R Sonthalia, X Li, B Gu arXiv preprint arXiv:2305.14689, 2023 | 4 | 2023 |
| Iclr 2022 challenge for computational geometry & topology: Design and results A Myers, S Utpala, S Talbar, S Sanborn, C Shewmake, C Donnat, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2022, 269-276, 2022 | 4 | 2022 |
| Dynamic embedding-based methods for link prediction in machine learning semantic network H Lee, R Sonthalia, JG Foster 2021 IEEE International Conference on Big Data (Big Data), 5801-5808, 2021 | 4 | 2021 |
| How can classical multidimensional scaling go wrong? R Sonthalia, G Van Buskirk, B Raichel, A Gilbert Advances in Neural Information Processing Systems 34, 12304-12315, 2021 | 3 | 2021 |
| Generalization error without independence: Denoising, linear regression, and transfer learning C Kausik, K Srivastava, R Sonthalia arXiv preprint arXiv:2305.17297, 2023 | 2 | 2023 |
| Dual Regularized Optimal Transport R Sonthalia, AC Gilbert Neurips Workshop on Optimal Transport, 2021 | 2 | 2021 |
| Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization Y Wang, R Sonthalia, W Hu International Conference on Artificial Intelligence and Statistics, 4483-4491, 2024 | 1 | 2024 |
| Knowledge graphs of the QAnon Twitter network C Adams, M Bozhidarova, J Chen, A Gao, Z Liu, JH Priniski, J Lin, ... 2022 IEEE International Conference on Big Data (Big Data), 2903-2912, 2022 | 1 | 2022 |
| Hyperbolic and mixed geometry graph neural networks X Cui, R Sonthalia NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | 1 | 2022 |
| RelWire: Metric Based Graph Rewiring R Sonthalia, A Gilbert, M Durham NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | | 2023 |
| Denoising Low-Rank Data Under Distribution Shift: Double Descent and Data Augmentation C Kausik, K Srivastava, R Sonthalia NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | | 2023 |
| Near-Interpolators: Fast Norm Growth and Tempered Near-Overfitting Y Wang, R Sonthalia, W Hu NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | | 2023 |
| Spectral Neural Networks: Approximation Theory and Optimization Landscape C Li, R Sonthalia, NG Trillos arXiv preprint arXiv:2310.00729, 2023 | | 2023 |
Anna GilbertYale UniversityVerified email at yale.edu
