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Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information


Nov 09, 2021
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

* Published as conference paper at ASONAM 2021, Research Track 
* 8 pages 

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TCube: Domain-Agnostic Neural Time-series Narration


Oct 11, 2021
Mandar Sharma, John S. Brownstein, Naren Ramakrishnan

* To be published in IEEE ICDM 2021 

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Using AntiPatterns to avoid MLOps Mistakes


Jun 30, 2021
Nikhil Muralidhar, Sathappah Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan


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Detecting Anomalies Through Contrast in Heterogeneous Data


Apr 02, 2021
Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan


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Incorporating Expert Guidance in Epidemic Forecasting


Dec 24, 2020
Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash

* Appears in SIGKDD 2020 epiDAMIK 

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Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization


Dec 11, 2020
Subhodip Biswas, Adam D Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian

* Accepted at the black box optimization challenge at NeurIPS 2020 

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STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models


Sep 27, 2020
Shengzhe Xu, Manish Marwah, Naren Ramakrishnan


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Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19


Sep 23, 2020
Alexander Rodriguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash

* 13 pages, 12 figures 

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Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality


Sep 06, 2020
Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan, Niklas Elmqvist

* 9 pages + 2 references, 8 figures, 2 tables, IEEE VIS 2020 VAST Paper 

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Low Rank Factorization for Compact Multi-Head Self-Attention


Nov 26, 2019
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan

* 9 pages, 5 figures 

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Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids


Nov 06, 2019
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh Tafti, Anuj Karpatne


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Mitigating Uncertainty in Document Classification


Jul 17, 2019
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan

* Accepted by NAACL19 

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Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks


May 22, 2019
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan


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Neural Abstractive Text Summarization with Sequence-to-Sequence Models


Dec 07, 2018
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy


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Deep Transfer Reinforcement Learning for Text Summarization


Oct 15, 2018
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy


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Deep Reinforcement Learning For Sequence to Sequence Models


Jul 20, 2018
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy


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SIGNet: Scalable Embeddings for Signed Networks


Mar 22, 2018
Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan

* Published in PAKDD 2018 

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Distributed Representation of Subgraphs


Feb 22, 2017
Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash

* 9 pages, 7 figures 

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Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources


Feb 22, 2017
Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

* This paper has been submitted to a conference 

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Sparse Estimation of Multivariate Poisson Log-Normal Models from Count Data


Aug 12, 2016
Hao Wu, Xinwei Deng, Naren Ramakrishnan


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Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach


Jun 03, 2016
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan

* this paper has been submitted to a conference 

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Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks


Jun 01, 2016
Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan

* This paper has been submitted to a journal 

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Hierarchical Quickest Change Detection via Surrogates


Mar 31, 2016
Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan

* Submitted to a journal. See demo at https://prithwi.github.io/hqcd_supplementary 

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Flow of Information in Feed-Forward Deep Neural Networks


Mar 20, 2016
Pejman Khadivi, Ravi Tandon, Naren Ramakrishnan


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Interactive Storytelling over Document Collections


Feb 21, 2016
Dipayan Maiti, Mohammad Raihanul Islam, Scotland Leman, Naren Ramakrishnan

* This paper has been submitted to a conference for review 

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Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences


May 21, 2012
Debprakash Patnaik, Naren Ramakrishnan, Srivatsan Laxman, Badrish Chandramouli


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Efficiently Discovering Hammock Paths from Induced Similarity Networks


Feb 17, 2010
M. Shahriar Hossain, Michael Narayan, Naren Ramakrishnan


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Recommender Systems for the Conference Paper Assignment Problem


Jun 22, 2009
Don Conry, Yehuda Koren, Naren Ramakrishnan

* 8 pages, 5 figures, submitted to the ACM Conference on Recommender Systems 2009 

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Inferring Dynamic Bayesian Networks using Frequent Episode Mining


Apr 14, 2009
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan


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Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions


Nov 27, 2003
Deept Kumar, Naren Ramakrishnan, Malcolm Potts, Richard F. Helm


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