Jonathan Larson

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 28

Top Topics

Visual Analytics

Graph Embedding

Technical Support

Unstructured Data

Top Venues

CHI Extended Abstracts

Pattern Recognit.

Publications

Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Jonathan Larson
From Local to Global: A Graph RAG Approach to Query-Focused Summarization. CoRR (2024)
Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR (2024)
Yanbang Wang, Karl Hallgren, Jonathan Larson
A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems. WWW (Companion Volume) (2024)
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
Synergistic graph fusion via encoder embedding. Inf. Sci. 678 (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)
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
Synergistic Graph Fusion via Encoder Embedding. CoRR (2023)
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. NeurIPS (2023)
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. CoRR (2023)
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models. CoRR (2023)
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics. CoRR (2023)
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, Chris White, Eric Horvitz
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR (2023)
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
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic. CoRR (2021)
Vivek Kurien George, Vikash Morar, Weiwei Yang, Jonathan Larson, Bryan Tower, Shweti Mahajan, Arkin Gupta, Christopher M. White, Gabriel A. Silva
Learning without gradient descent encoded by the dynamics of a neurobiological model. CoRR (2021)
Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger
A Graph Embedding Approach to User Behavior Anomaly Detection. IEEE BigData (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)
Nathan Evans, Darren Edge, Jonathan Larson, Christopher M. White
News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience. CHI Extended Abstracts (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)
Jonathan Larson, Paul Isihara, Gabriel Flores, Edwin Townsend, Danilo R. Diedrichs, Christy Baars, Steven Kwon, Will McKinnon, Joseph Nussbaum, Carrie Steggerda, Joyce Yan
A priori assessment of a smart-navigated unmanned aerial vehicle disaster cargo fleet. Simul. 96 (8) (2020)
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
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing. CoRR (2020)
Jonathan Larson, Darren Edge, Nathan Evans, Christopher M. White
Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding. CHI Extended Abstracts (2020)
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
PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing. IEEE Data Eng. Bull. 43 (2) (2020)
Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Christopher M. White
Workgroup Mapping: Visual Analysis of Collaboration Culture. CoRR (2020)
Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski
Vertex Nomination, Consistent Estimation, and Adversarial Modification. CoRR (2019)
Darren Edge, Nathalie Henry Riche, Jonathan Larson, Christopher M. White
Beyond Tasks: An Activity Typology for Visual Analytics. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Darren Edge, Jonathan Larson, Christopher M. White
Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform. CHI Extended Abstracts (2018)
Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Christopher M. White
Using Web-Scale Graph Analytics to Counter Technical Support Scams. IEEE BigData (2018)
Darren Edge, Jonathan Larson, Markus Mobius, Christopher M. White
Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable. IEEE BigData (2018)
Lynn Schwendiman, Jonathan McLean, Jonathan Larson
VAST 2007 Contest Data Analysis Using NdCore and REGGAE. IEEE VAST (2007)
Lynn Schwendiman, Jonathan McLean, Jonathan Larson
VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE. IEEE VAST (2007)
Mitchell J. Myjak, Jonathan Larson, José G. Delgado-Frias
Mapping and Performance of DSP Benchmarks on a Medium-Grain Reconfigurable Architecture. ERSA (2006)
Jonathan Larson, Harry H. Cheng
Object-oriented cam design through the internet. J. Intell. Manuf. 11 (6) (2000)