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ORCIDHayden S. Helm
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2020 – today
- 2024
[j4]Anton Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe:
Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics. Appl. Netw. Sci. 9(1): 1 (2024)- [c1]Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe:
Tracking the perspectives of interacting language models. EMNLP 2024: 1508-1519 - [i17]Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz:
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. CoRR abs/2406.06573 (2024) - [i16]Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe:
Tracking the perspectives of interacting language models. CoRR abs/2406.11938 (2024) - [i15]Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe, Hayden S. Helm:
Consistent estimation of generative model representations in the data kernel perspective space. CoRR abs/2409.17308 (2024) - [i14]Hayden S. Helm, Aranyak Acharyya, Brandon Duderstadt, Youngser Park, Carey E. Priebe:
Embedding-based statistical inference on generative models. CoRR abs/2410.01106 (2024) - 2023
- [j3]Hayden S. Helm
, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Carey E. Priebe, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Marah Ihab Abdin, Piali Choudhury, Weiwei Yang, Christopher M. White:
Distance-based positive and unlabeled learning for ranking. Pattern Recognit. 134: 109085 (2023) - [j2]Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski:
Subgraph nomination: query by example subgraph retrieval in networks. Stat. Comput. 33(2): 52 (2023) - [i13]Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E. Priebe:
Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis. CoRR abs/2302.14186 (2023) - [i12]Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe:
Comparing Foundation Models using Data Kernels. CoRR abs/2305.05126 (2023) - [i11]Hayden S. Helm, Carey E. Priebe, Weiwei Yang:
A Statistical Turing Test for Generative Models. CoRR abs/2309.08913 (2023) - 2022
- [i10]Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe:
Mental State Classification Using Multi-graph Features. CoRR abs/2203.00516 (2022) - [i9]Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe:
Deep Learning with Label Noise: A Hierarchical Approach. CoRR abs/2205.14299 (2022) - 2021
- [i8]Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski:
Subgraph nomination: Query by Example Subgraph Retrieval in Networks. CoRR abs/2101.12430 (2021) - [i7]Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher M. White, Ali Geisa, Carey E. Priebe:
Inducing a hierarchy for multi-class classification problems. CoRR abs/2102.10263 (2021) - [i6]Hayden S. Helm, Marah Ihab Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe:
Leveraging semantically similar queries for ranking via combining representations. CoRR abs/2106.12621 (2021) - [i5]Ali Geisa, Ronak D. Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein:
Towards a theory of out-of-distribution learning. CoRR abs/2109.14501 (2021) - 2020
- [i4]Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Christopher M. White, Carey E. Priebe:
A general approach to progressive intelligence. CoRR abs/2004.12908 (2020) - [i3]Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Christopher M. White, Carey E. Priebe:
Learning to rank via combining representations. CoRR abs/2005.10700 (2020) - [i2]Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe:
A partition-based similarity for classification distributions. CoRR abs/2011.06557 (2020)
2010 – 2019
- 2019
- [j1]Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein:
GraSPy: Graph Statistics in Python. J. Mach. Learn. Res. 20: 158:1-158:7 (2019) - [i1]Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe:
Vertex Classification on Weighted Networks. CoRR abs/1906.02881 (2019)
Coauthor Index
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