Hayden S. Helm

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Semantically Similar

Linear Discriminant

Graph Properties

Top Venues

Pattern Recognit.

J. Mach. Learn. Res.

Publications

Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe
Tracking the perspectives of interacting language models. CoRR (2024)
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) (2024)
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 (2024)
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 W. White
Distance-based positive and unlabeled learning for ranking. Pattern Recognit. 134 (2023)
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 (2023)
Hayden S. Helm, Carey E. Priebe, Weiwei Yang
A Statistical Turing Test for Generative Models. CoRR (2023)
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) (2023)
Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe
Comparing Foundation Models using Data Kernels. CoRR (2023)
Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Mental State Classification Using Multi-graph Features. CoRR (2022)
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 (2022)
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 (2021)
Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
Subgraph nomination: Query by Example Subgraph Retrieval in Networks. CoRR (2021)
Hayden S. Helm, Marah 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 (2021)
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 (2021)
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 (2020)
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 (2020)
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 (2020)
Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe
Vertex Classification on Weighted Networks. CoRR (2019)
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 (2019)