Jonathan Larson

44 papers A* 1Journal 32Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explaining categorical feature interactions using graph covariance and LLMs.
Appl. Netw. Sci.
Cencheng Shen, Darren Edge, Jonathan Larson, Carey E. Priebe
2026 J jnl
Principal Graph Encoder Embedding and Principal Community Detection.
IEEE Trans. Netw. Sci. Eng.
Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2025 J jnl
Dynamic Silos: Increased Modularity and Decreased Stability in Intraorganizational Communication Networks During the COVID-19 Pandemic.
Manag. Sci.
Tiona Zuzul, Emily Cox Pahnke, Jonathan Larson, Patrick Bourke, Nicholas Caurvina, Neha Parikh Shah, Fereshteh Amini, Jeffrey Weston, Youngser Park, Joshua T. Vogelstein, Christopher M. White, Carey E. Priebe
2025 J jnl
Explaining Categorical Feature Interactions Using Graph Covariance and LLMs.
CoRR
Cencheng Shen, Darren Edge, Jonathan Larson, Carey E. Priebe
2025 J jnl
Multiple network embedding for anomaly detection in time series of graphs.
Comput. Stat. Data Anal.
Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Christopher M. White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
2025 J jnl
Optimizing open-domain question answering with graph-based retrieval augmented generation.
CoRR
Joyce Cahoon, Prerna Singh, Nick Litombe, Jonathan Larson, Ha Trinh, Yiwen Zhu, Andreas Müller, Fotis Psallidas, Carlo Curino
2025 J jnl
Principal Graph Encoder Embedding and Principal Community Detection.
CoRR
Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2025 J jnl
Refined graph encoder embedding via self-training and latent community recovery.
Soc. Netw. Anal. Min.
Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
2025 J jnl
Simple Lifelong Learning Machines.
IEEE Trans. Pattern Anal. Mach. Intell.
Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M. White, Carey E. Priebe
2025 — conf
Towards Effective Extraction and Evaluation of Factual Claims.
ACL (1)
Dasha Metropolitansky, Jonathan Larson
2025 J jnl
Towards Effective Extraction and Evaluation of Factual Claims.
CoRR
Dasha Metropolitansky, Jonathan Larson
2025 J jnl
VeriTrail: Closed-Domain Hallucination Detection with Traceability.
CoRR
Dasha Metropolitansky, Jonathan Larson
2024 — conf
A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems.
WWW (Companion Volume)
Yanbang Wang, Karl Hallgren, Jonathan Larson
2024 J jnl
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics.
IEEE Trans. Netw. Sci. Eng.
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
2024 J jnl
From Local to Global: A Graph RAG Approach to Query-Focused Summarization.
CoRR
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Jonathan Larson
2024 J jnl
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery.
CoRR
Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
2024 J jnl
Synergistic graph fusion via encoder embedding.
Inf. Sci.
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
2023 J jnl
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models.
CoRR
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
2023 J jnl
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.
CoRR
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
2023 J jnl
Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics.
CoRR
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
2023 J jnl
Distance-based positive and unlabeled learning for ranking.
Pattern Recognit.
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
2023 A* conf
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.
NeurIPS
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson
2023 J jnl
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.
CoRR
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
2023 J jnl
Synergistic Graph Fusion via Encoder Embedding.
CoRR
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
2021 — conf
A Graph Embedding Approach to User Behavior Anomaly Detection.
IEEE BigData
Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger
2021 J jnl
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic.
CoRR
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
2021 J jnl
Learning without gradient descent encoded by the dynamics of a neurobiological model.
CoRR
Vivek Kurien George, Vikash Morar, Weiwei Yang, Jonathan Larson, Bryan Tower, Shweti Mahajan, Arkin Gupta, Christopher M. White, Gabriel A. Silva
2020 J jnl
A general approach to progressive intelligence.
CoRR
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
2020 J jnl
A priori assessment of a smart-navigated unmanned aerial vehicle disaster cargo fleet.
Simul.
Jonathan Larson, Paul Isihara, Gabriel Flores, Edwin Townsend, Danilo R. Diedrichs, Christy Baars, Steven Kwon, Will McKinnon, Joseph Nussbaum, Carrie Steggerda, Joyce Yan
2020 J jnl
Learning to rank via combining representations.
CoRR
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
2020 — conf
Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding.
CHI Extended Abstracts
Jonathan Larson, Darren Edge, Nathan Evans, Christopher M. White
2020 — conf
News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience.
CHI Extended Abstracts
Nathan Evans, Darren Edge, Jonathan Larson, Christopher M. White
2020 J jnl
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing.
CoRR
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
2020 J jnl
PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing.
IEEE Data Eng. Bull.
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
2020 J jnl
Workgroup Mapping: Visual Analysis of Collaboration Culture.
CoRR
Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Christopher M. White
2019 J jnl
Vertex Nomination, Consistent Estimation, and Adversarial Modification.
CoRR
Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski
2018 J jnl
Beyond Tasks: An Activity Typology for Visual Analytics.
IEEE Trans. Vis. Comput. Graph.
Darren Edge, Nathalie Henry Riche, Jonathan Larson, Christopher M. White
2018 — conf
Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform.
CHI Extended Abstracts
Darren Edge, Jonathan Larson, Christopher M. White
2018 — conf
Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable.
IEEE BigData
Darren Edge, Jonathan Larson, Markus Mobius, Christopher M. White
2018 — conf
Using Web-Scale Graph Analytics to Counter Technical Support Scams.
IEEE BigData
Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Christopher M. White
2007 — conf
VAST 2007 Contest Data Analysis Using NdCore and REGGAE.
IEEE VAST
Lynn Schwendiman, Jonathan McLean, Jonathan Larson
2007 — conf
VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE.
IEEE VAST
Lynn Schwendiman, Jonathan McLean, Jonathan Larson
2006 — conf
Mapping and Performance of DSP Benchmarks on a Medium-Grain Reconfigurable Architecture.
ERSA
Mitchell J. Myjak, Jonathan Larson, José G. Delgado-Frias
2000 J jnl
Object-oriented cam design through the internet.
J. Intell. Manuf.
Jonathan Larson, Harry H. Cheng