Jonathan Larson

According to our database, Jonathan Larson authored at least 32 papers between 2000 and 2025.

Collaborative distances:

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

2025

Multiple network embedding for anomaly detection in time series of graphs.

Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Christopher M. White, Jonathan Larson, Weiwei Yang, Carey E. Priebe

Comput. Stat. Data Anal., 2025

2024

Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics.

Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe

IEEE Trans. Netw. Sci. Eng., 2024

Synergistic graph fusion via encoder embedding.

Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh

Inf. Sci., 2024

Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery.

Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe

CoRR, 2024

From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Jonathan Larson

CoRR, 2024

A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems.

Yanbang Wang, Karl Hallgren, Jonathan Larson

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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 M. White

Pattern Recognit., 2023

Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models.

Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin

CoRR, 2023

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz

CoRR, 2023

Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics.

Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe

CoRR, 2023

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.

Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic.

Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua T. Vogelstein, Jeffrey Weston, Christopher M. White, Carey E. Priebe

CoRR, 2021

Learning without gradient descent encoded by the dynamics of a neurobiological model.

Vivek Kurien George, Vikash Morar, Weiwei Yang, Jonathan Larson, Bryan Tower, Shweti Mahajan, Arkin Gupta, Christopher M. White, Gabriel A. Silva

CoRR, 2021

A Graph Embedding Approach to User Behavior Anomaly Detection.

Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A priori assessment of a smart-navigated unmanned aerial vehicle disaster cargo fleet.

Jonathan Larson, Paul Isihara, Gabriel Flores, Edwin Townsend, Danilo R. Diedrichs, Christy Baars, Steven Kwon, Will McKinnon, Joseph Nussbaum, Carrie Steggerda, Joyce Yan

Simul., 2020

PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing.

Justin Chan, Landon P. Cox, Dean P. Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham M. Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Puneet Sharma, Sudheesh Singanamalla, Jacob E. Sunshine, Stefano Tessaro

IEEE Data Eng. Bull., 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

Workgroup Mapping: Visual Analysis of Collaboration Culture.

Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Christopher M. White

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

PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing.

Justin Chan, Dean P. Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham M. Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Sudheesh Singanamalla, Jacob E. Sunshine, Stefano Tessaro

CoRR, 2020

Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding.

Jonathan Larson, Darren Edge, Nathan Evans, Christopher M. White

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience.

Nathan Evans, Darren Edge, Jonathan Larson, Christopher M. White

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Vertex Nomination, Consistent Estimation, and Adversarial Modification.

Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski

CoRR, 2019

2018

Beyond Tasks: An Activity Typology for Visual Analytics.

Darren Edge, Nathalie Henry Riche, Jonathan Larson, Christopher M. White

IEEE Trans. Vis. Comput. Graph., 2018

Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform.

Darren Edge, Jonathan Larson, Christopher M. White

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Using Web-Scale Graph Analytics to Counter Technical Support Scams.

Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Christopher M. White

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable.

Darren Edge, Jonathan Larson, Markus Mobius, Christopher M. White

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2007

VAST 2007 Contest Data Analysis Using NdCore and REGGAE.

Lynn Schwendiman, Jonathan McLean, Jonathan Larson

Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007

VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE.

Lynn Schwendiman, Jonathan McLean, Jonathan Larson

Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007

2006

Mapping and Performance of DSP Benchmarks on a Medium-Grain Reconfigurable Architecture.

José Delgado-Frias, Jonathan Larson, Mitchell Myjak

Proceedings of the 2006 International Conference on Engineering of Reconfigurable Systems & Algorithms, 2006

Mapping and Performance of DSP Benchmarks on a Medium-Grain Reconfigurable Architecture.

Mitchell J. Myjak, Jonathan Larson, José G. Delgado-Frias

Proceedings of the 2006 International Conference on Engineering of Reconfigurable Systems & Algorithms, 2006

2000

Object-oriented cam design through the internet.

Jonathan Larson, Harry H. Cheng

J. Intell. Manuf., 2000