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NSL: Hybrid Interpretable Learning From Noisy Raw Data


Dec 09, 2020
Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance Kaplan


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A General Framework for Distributed Inference with Uncertain Models


Nov 20, 2020
James Z. Hare, Cesar A. Uribe, Lance Kaplan, Ali Jadbabaie


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A Hybrid Neuro-Symbolic Approach for Complex Event Processing


Sep 18, 2020
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti

* Accepted as extended abstract at ICLP2020 

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A Hybrid Neuro-Symbolic Approach for Complex EventProcessing


Sep 07, 2020
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani Srivastava, Lance Kaplan, Alun Preece, Angelika Kimmig, Federico Cerutti

* Accepted as extended abstract at ICLP2020 

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Uncertainty-Aware Deep Classifiers using Generative Models


Jun 07, 2020
Murat Sensoy, Lance Kaplan, Federico Cerutti, Maryam Saleki

* This is a post-referred version of a conference paper published in AAAI 2020 

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Spherical Text Embedding


Nov 04, 2019
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han

* NeurIPS 2019. (Code: https://github.com/yumeng5/Spherical-Text-Embedding

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Quantifying Classification Uncertainty using Regularized Evidential Neural Networks


Oct 15, 2019
Xujiang Zhao, Yuzhe Ou, Lance Kaplan, Feng Chen, Jin-Hee Cho

* Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Non-Bayesian Social Learning with Uncertain Models


Sep 27, 2019
James Z. Hare, Cesar A. Uribe, Lance Kaplan, Ali Jadbabaie


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Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units


Jul 05, 2019
Lakmal Meegahapola, Vengateswaran Subramaniam, Lance Kaplan, Archan Misra

* Submitted to NeurIPS 2019 

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Evidential Deep Learning to Quantify Classification Uncertainty


Oct 31, 2018
Murat Sensoy, Lance Kaplan, Melih Kandemir


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Probabilistic Logic Programming with Beta-Distributed Random Variables


Oct 31, 2018
Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Sensoy

* Accepted for presentation at AAAI 2019 

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Uncertainty Aware AI ML: Why and How


Sep 20, 2018
Lance Kaplan, Federico Cerutti, Murat Sensoy, Alun Preece, Paul Sullivan

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks


Mar 05, 2018
Yu Shi, Huan Gui, Qi Zhu, Lance Kaplan, Jiawei Han

* 11 pages including additional supplementary materials. In Proceedings of the 2018 SIAM International Conference on Data Mining, San Diego, California, USA, SIAM, 2018 

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