Clik here to view.
EpiDeep: Exploiting Embeddings for Epidemic Forecasting.
Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash: EpiDeep: Exploiting Embeddings for Epidemic Forecasting. KDD 2019: 577-586
View ArticleClik here to view.
Tracking and analyzing dynamics of news-cycles during global pandemics: a...
Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing, B. Aditya Prakash: Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective. SIGKDD Explor. 21(2): 91-100 (2019)
View ArticleClik here to view.
Fast and near-optimal monitoring for healthcare acquired infection outbreaks.
Bijaya Adhikari, Bryan L. Lewis, Anil Vullikanti, José M. Jiménez, B. Aditya Prakash: Fast and near-optimal monitoring for healthcare acquired infection outbreaks. PLoS Comput. Biol. 15(9) (2019)
View ArticleClik here to view.
Data-driven efficient network and surveillance-based immunization.
Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura Pullum, B. Aditya Prakash: Data-driven efficient network and surveillance-based immunization. Knowl. Inf. Syst. 61(3): 1667-1693 (2019)
View ArticleClik here to view.
NetReAct: Interactive Learning for Network Summarization.
Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash: NetReAct: Interactive Learning for Network Summarization. CoRR...
View ArticleClik here to view.
Mapping Network States Using Connectivity Queries.
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash: Mapping Network States Using Connectivity Queries. CoRR abs/2012.03413 (2020)
View ArticleClik here to view.
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu...
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash: Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and...
View ArticleClik here to view.
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data...
Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash: KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM 2020, ISBN...
View ArticleClik here to view.
Mapping Network States using Connectivity Queries.
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash: Mapping Network States using Connectivity Queries. IEEE BigData 2020: 778-787
View ArticleClik here to view.
Designing Effective and Practical Interventions to Contain Epidemics.
Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti: Designing Effective and Practical Interventions to Contain Epidemics. AAMAS 2020: 1187-1195
View ArticleClik here to view.
Cut-n-Reveal: Time Series Segmentations with Explanations.
Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash: Cut-n-Reveal: Time Series Segmentations with Explanations. ACM Trans. Intell. Syst....
View ArticleClik here to view.
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions...
Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash: Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. CoRR abs/2106.04420 (2021)
View ArticleClik here to view.
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic...
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash: When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR abs/2106.03904...
View ArticleClik here to view.
Incorporating Expert Guidance in Epidemic Forecasting.
Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash: Incorporating Expert Guidance in Epidemic Forecasting. CoRR abs/2101.10247 (2021)
View ArticleClik here to view.
The 4th International Workshop on Epidemiology meets Data Mining and...
Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash: The 4th International Workshop on...
View ArticleClik here to view.
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable...
Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash: DeepCOVID: An Operational Deep Learning-driven Framework for Explainable...
View ArticleClik here to view.
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu...
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash: Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and...
View ArticleClik here to view.
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting.
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash: CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR abs/2109.07438 (2021)
View ArticleClik here to view.
Actionable Insights in Urban Multivariate Time-series.
Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash: Actionable Insights in Urban Multivariate Time-series. CIKM 2021: 1774-1783
View ArticleClik here to view.
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes.
Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils Stenvig, Bill Kay, P. Teja Kuruganti, B. Aditya Prakash: Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. IEEE BigData...
View ArticleClik here to view.
EINNs: Epidemiologically-Informed Neural Networks.
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash: EINNs: Epidemiologically-Informed Neural Networks. CoRR abs/2202.10446 (2022)
View ArticleClik here to view.
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic...
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash: When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS 2021:...
View ArticleClik here to view.
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting.
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash: CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW 2022: 3174-3185
View ArticleClik here to view.
PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series.
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash: PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR abs/2206.07940 (2022)
View ArticleClik here to view.
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay.
Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti: Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI 2022: 10202-10209
View ArticleClik here to view.
Differentiable Agent-based Epidemiology.
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar: Differentiable Agent-based Epidemiology. CoRR abs/2207.09714 (2022)
View ArticleClik here to view.
Data-Centric Epidemic Forecasting: A Survey.
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash: Data-Centric Epidemic Forecasting: A Survey. CoRR abs/2207.09370 (2022)
View ArticleClik here to view.
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data...
Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash: epiDAMIK 5.0: The 5th International Workshop...
View ArticleClik here to view.
Epidemic Forecasting with a Data-Centric Lens.
Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash: Epidemic Forecasting with a Data-Centric Lens. KDD 2022: 4822-4823
View ArticleClik here to view.
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions...
Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash: Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. ICLR 2022
View ArticleClik here to view.
End-to-End Stochastic Optimization with Energy-Based Model.
Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang: End-to-End Stochastic Optimization with Energy-Based Model. CoRR abs/2211.13837 (2022)
View ArticleClik here to view.
End-to-end Stochastic Optimization with Energy-based Model.
Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang: End-to-end Stochastic Optimization with Energy-based Model. NeurIPS 2022
View ArticleClik here to view.
Differentiable Agent-based Epidemiology.
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar: Differentiable Agent-based Epidemiology. AAMAS 2023: 1848-1857
View ArticleClik here to view.
Autoregressive Diffusion Model for Graph Generation.
Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang: Autoregressive Diffusion Model for Graph Generation. CoRR abs/2307.08849 (2023)
View ArticleClik here to view.
EINNs: Epidemiologically-Informed Neural Networks.
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash: EINNs: Epidemiologically-Informed Neural Networks. AAAI 2023: 14453-14460
View ArticleClik here to view.
Detecting Sources of Healthcare Associated Infections.
Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju: Detecting Sources of Healthcare Associated Infections. AAAI 2023:...
View ArticleClik here to view.
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks.
Leo Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash: PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks. CoRR abs/2307.11833 (2023)
View ArticleClik here to view.
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data...
Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash: epiDAMIK 6.0: The 6th International Workshop on Epidemiology...
View ArticleClik here to view.
Uncertainty Quantification in Deep Learning.
Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang: Uncertainty Quantification in Deep Learning. KDD 2023: 5809-5810
View ArticleClik here to view.
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic...
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash: When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting....
View ArticleClik here to view.
Autoregressive Diffusion Model for Graph Generation.
Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang: Autoregressive Diffusion Model for Graph Generation. ICML 2023: 17391-17408
View ArticleClik here to view.
DF2: Distribution-Free Decision-Focused Learning.
Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang: DF2: Distribution-Free Decision-Focused Learning. CoRR abs/2308.05889 (2023)
View ArticleClik here to view.
Performative Time-Series Forecasting.
Zhiyuan Zhao, Alexander Rodríguez, B. Aditya Prakash: Performative Time-Series Forecasting. CoRR abs/2310.06077 (2023)
View ArticleClik here to view.
Large Pre-trained time series models for cross-domain Time series analysis...
Harshavardhan Kamarthi, B. Aditya Prakash: Large Pre-trained time series models for cross-domain Time series analysis tasks. CoRR abs/2311.11413 (2023)
View ArticleClik here to view.
PEMS: Pre-trained Epidemic Time-series Models.
Harshavardhan Kamarthi, B. Aditya Prakash: PEMS: Pre-trained Epidemic Time-series Models. CoRR abs/2311.07841 (2023)
View ArticleClik here to view.
Empirical networks for localized COVID-19 interventions using WiFi...
Vedant Das Swain, Jiajia Xie, Maanit Madan, Sonia Sargolzaei, James Cai, Munmun De Choudhury, Gregory D. Abowd, Lauren N. Steimle, B. Aditya Prakash: Empirical networks for localized COVID-19...
View ArticleClik here to view.
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and...
Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin: A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. CoRR abs/2402.03358 (2024)
View ArticleProceedings of the International Conference on Advances in Social Networks...
B. Aditya Prakash, Dong Wang, Tim Weninger: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023. ACM 2023...
View ArticleA Review of Graph Neural Networks in Epidemic Modeling.
Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin: A Review of Graph Neural Networks in Epidemic Modeling. CoRR abs/2403.19852 (2024)
View ArticleLSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by...
Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash: LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. CoRR...
View Article
