Hayden S. Helm

According to our database, Hayden S. Helm authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics.

Anton Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe

Appl. Netw. Sci., December, 2024

2023

Subgraph nomination: query by example subgraph retrieval in networks.

Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski

Stat. Comput., April, 2023

Distance-based positive and unlabeled learning for ranking.

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

Pattern Recognit., 2023

A Statistical Turing Test for Generative Models.

Hayden S. Helm, Carey E. Priebe, Weiwei Yang

CoRR, 2023

Comparing Foundation Models using Data Kernels.

Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe

CoRR, 2023

Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis.

Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E. Priebe

CoRR, 2023

2022

Deep Learning with Label Noise: A Hierarchical Approach.

Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe

CoRR, 2022

Mental State Classification Using Multi-graph Features.

Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe

CoRR, 2022

2021

Towards a theory of out-of-distribution learning.

Ali Geisa, Ronak D. Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein

CoRR, 2021

Leveraging semantically similar queries for ranking via combining representations.

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

CoRR, 2021

Inducing a hierarchy for multi-class classification problems.

Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher M. White, Ali Geisa, Carey E. Priebe

CoRR, 2021

2020

A partition-based similarity for classification distributions.

Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe

CoRR, 2020

Learning to rank via combining representations.

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

CoRR, 2020

A general approach to progressive intelligence.

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

CoRR, 2020

2019

GraSPy: Graph Statistics in Python.

Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein

J. Mach. Learn. Res., 2019

Vertex Classification on Weighted Networks.

Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe

CoRR, 2019