| Graspy: Graph statistics in python J Chung, BD Pedigo, EW Bridgeford, BK Varjavand, HS Helm, ... Journal of Machine Learning Research 20 (158), 1-7, 2019 | 49 | 2019 |
| Towards a theory of out-of-distribution learning J Dey, A Geisa, R Mehta, TM Tomita, HS Helm, H Xu, E Eaton, J Dick, ... arXiv preprint arXiv:2109.14501, 2021 | 18 | 2021 |
| A general approach to progressive learning JT Vogelstein, HS Helm, RD Mehta, J Dey, W Yang, B Tower, W LeVine, ... Preprint at https://arxiv. org/abs/2004.12908, 2020 | 15* | 2020 |
| Distance-based positive and unlabeled learning for ranking HS Helm, A Basu, A Athreya, Y Park, JT Vogelstein, CE Priebe, ... Pattern Recognition 134, 109085, 2023 | 9* | 2023 |
| Mental state classification using multi-graph features G Chen, HS Helm, K Lytvynets, W Yang, CE Priebe Frontiers in Human Neuroscience 16, 930291, 2022 | 8 | 2022 |
| Inducing a hierarchy for multi-class classification problems HS Helm, W Yang, S Bharadwaj, K Lytvynets, O Riva, C White, A Geisa, ... arXiv preprint arXiv:2102.10263, 2021 | 8 | 2021 |
| Estimating information-theoretic quantities with uncertainty forests R Guo, R Mehta, J Arroyo, H Helm, C Shen, JT Vogelstein arXiv, arXiv: 1907.00325, 2019 | 6* | 2019 |
| Medfuzz: Exploring the robustness of large language models in medical question answering RO Ness, K Matton, H Helm, S Zhang, J Bajwa, CE Priebe, E Horvitz arXiv preprint arXiv:2406.06573, 2024 | 5 | 2024 |
| A statistical turing test for generative models H Helm, CE Priebe, W Yang arXiv preprint arXiv:2309.08913, 2023 | 5 | 2023 |
| A partition-based similarity for classification distributions HS Helm, RD Mehta, B Duderstadt, W Yang, CM White, A Geisa, ... arXiv preprint arXiv:2011.06557, 2020 | 4 | 2020 |
| Tracking the perspectives of interacting language models H Helm, B Duderstadt, Y Park, CE Priebe arXiv preprint arXiv:2406.11938, 2024 | 3 | 2024 |
| Approximately optimal domain adaptation with fisher’s linear discriminant H Helm, A De Silva, JT Vogelstein, CE Priebe, W Yang Mathematics 12 (5), 746, 2024 | 3* | 2024 |
| Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics AA Alyakin, J Agterberg, HS Helm, CE Priebe Applied Network Science 9 (1), 1, 2024 | 2 | 2024 |
| Deep Learning with Label Noise: A Hierarchical Approach L Chen, N Huang, C Mu, HS Helm, K Lytvynets, W Yang, CE Priebe arXiv preprint arXiv:2205.14299, 2022 | 2 | 2022 |
| Embedding-based statistical inference on generative models H Helm, A Acharyya, B Duderstadt, Y Park, CE Priebe arXiv preprint arXiv:2410.01106, 2024 | 1 | 2024 |
| Consistent estimation of generative model representations in the data kernel perspective space A Acharyya, MW Trosset, CE Priebe, HS Helm arXiv preprint arXiv:2409.17308, 2024 | 1 | 2024 |
| Comparing Foundation Models using Data Kernels B Duderstadt, HS Helm, CE Priebe arXiv preprint arXiv:2305.05126, 2023 | 1 | 2023 |
| Subgraph nomination: Query by example subgraph retrieval in networks AF Al-Qadhi, CE Priebe, HS Helm, V Lyzinski Statistics and Computing 33 (2), 52, 2023 | 1 | 2023 |
| Leveraging semantically similar queries for ranking via combining representations HS Helm, M Abdin, BD Pedigo, S Mahajan, V Lyzinski, Y Park, A Basu, ... arXiv preprint arXiv:2106.12621, 2021 | 1 | 2021 |
| Efficient identification of epileptiform discharges in brain scan data H Hayden, Y Weiwei US Patent App. 18/338,169, 2024 | | 2024 |
Carey E. PriebeProfessor of Applied Mathematics and Statistics, Johns Hopkins UniversityCorreu electrònic verificat a jhu.edu