Hayden S. Helm

Orcid: 0000-0001-9475-8100

According to our database1, Hayden S. Helm authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics.
Appl. Netw. Sci., December, 2024

Embedding-based statistical inference on generative models.
CoRR, 2024

Consistent estimation of generative model representations in the data kernel perspective space.
CoRR, 2024

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering.
CoRR, 2024

Tracking the perspectives of interacting language models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Subgraph nomination: query by example subgraph retrieval in networks.
Stat. Comput., April, 2023

Distance-based positive and unlabeled learning for ranking.
Pattern Recognit., 2023

A Statistical Turing Test for Generative Models.
CoRR, 2023

Comparing Foundation Models using Data Kernels.
CoRR, 2023

Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis.
CoRR, 2023

2022
Deep Learning with Label Noise: A Hierarchical Approach.
CoRR, 2022

Mental State Classification Using Multi-graph Features.
CoRR, 2022

2021
Towards a theory of out-of-distribution learning.
CoRR, 2021

Leveraging semantically similar queries for ranking via combining representations.
CoRR, 2021

Inducing a hierarchy for multi-class classification problems.
CoRR, 2021

2020
A partition-based similarity for classification distributions.
CoRR, 2020

Learning to rank via combining representations.
CoRR, 2020

A general approach to progressive intelligence.
CoRR, 2020

2019
GraSPy: Graph Statistics in Python.
J. Mach. Learn. Res., 2019

Vertex Classification on Weighted Networks.
CoRR, 2019


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