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2020 – today
- 2025
[j8]Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Christopher M. White, Jonathan Larson, Weiwei Yang, Carey E. Priebe:
Multiple network embedding for anomaly detection in time series of graphs. Comput. Stat. Data Anal. 203: 108070 (2025)- 2024
- [j7]Cencheng Shen
, Carey E. Priebe, Jonathan Larson, Ha Trinh:
Synergistic graph fusion via encoder embedding. Inf. Sci. 678: 120912 (2024) - [j6]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): 2100-2109 (2024) - [c11]Yanbang Wang, Karl Hallgren, Jonathan Larson:
A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems. WWW (Companion Volume) 2024: 274-283 - [i14]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 abs/2404.16130 (2024) - [i13]Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe:
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR abs/2405.12797 (2024) - 2023
- [j5]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:
Distance-based positive and unlabeled learning for ranking. Pattern Recognit. 134: 109085 (2023) - [c10]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 - [i12]Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh:
Synergistic Graph Fusion via Encoder Embedding. CoRR abs/2303.18051 (2023) - [i11]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 abs/2305.02381 (2023) - [i10]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 abs/2309.15129 (2023) - [i9]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:
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR abs/2311.16452 (2023) - [i8]Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin:
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models. CoRR abs/2312.09601 (2023) - 2021
- [c9]Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger:
A Graph Embedding Approach to User Behavior Anomaly Detection. IEEE BigData 2021: 2650-2655 - [i7]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 abs/2103.08878 (2021) - [i6]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 abs/2104.00641 (2021) - 2020
- [j4]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): 15-35 (2020) - [j3]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) - [c8]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: 1-8 - [c7]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: 1-8 - [i5]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 abs/2004.03544 (2020) - [i4]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 abs/2004.12908 (2020) - [i3]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 abs/2005.00402 (2020) - [i2]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 abs/2005.10700 (2020)
2010 – 2019
- 2019
- [i1]Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski:
Vertex Nomination, Consistent Estimation, and Adversarial Modification. CoRR abs/1905.01776 (2019) - 2018
- [j2]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): 267-277 (2018) - [c6]Darren Edge, Jonathan Larson, Markus Mobius, Christopher M. White:
Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable. IEEE BigData 2018: 3951-3958 - [c5]Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Christopher M. White:
Using Web-Scale Graph Analytics to Counter Technical Support Scams. IEEE BigData 2018: 3968-3971 - [c4]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
2000 – 2009
- 2007
- [c3]Lynn Schwendiman, Jonathan McLean, Jonathan Larson:
VAST 2007 Contest Interactive Poster: Data Analysis Using NdCore and REGGAE. IEEE VAST 2007: 199-200 - [c2]Lynn Schwendiman, Jonathan McLean, Jonathan Larson:
VAST 2007 Contest Data Analysis Using NdCore and REGGAE. IEEE VAST 2007: 245-246 - 2006
- [c1]Mitchell J. Myjak, Jonathan Larson, José G. Delgado-Frias:
Mapping and Performance of DSP Benchmarks on a Medium-Grain Reconfigurable Architecture. ERSA 2006: 123-129 - 2000
- [j1]Jonathan Larson, Harry H. Cheng:
Object-oriented cam design through the internet. J. Intell. Manuf. 11(6): 515-534 (2000)
Coauthor Index
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