Aniruddha Adiga

PLoS Comput. Biol., 2024

2023

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2023

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2023

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts.

[BibT_eX]

[DOI]

Bryan L. Lewis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19.

[BibT_eX]

[DOI]

Zakaria Mehrab

Samarth Swarup

ACM Trans. Spatial Algorithms Syst., 2022

Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources.

[BibT_eX]

[DOI]

Bryan L. Lewis

Proceedings of the IEEE International Conference on Big Data, 2022

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Informing University Covid-19 Decisions Using Simple Compartmental Models.

[BibT_eX]

[DOI]

Benjamin Hurt

Christopher L. Barrett

Proceedings of the Winter Simulation Conference, 2021

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting.

[BibT_eX]

[DOI]

Bryan Leroy Lewis

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Models for COVID-19 Pandemic: A Comparative Analysis.

[BibT_eX]

[DOI]

Anil Vullikanti

CoRR, 2020

Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network.

[BibT_eX]

[DOI]

Pavan Kulkarni

Jishnu Sadasivan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting.

[BibT_eX]

[DOI]

Lijing Wang

Jiangzhuo Chen

Bryan L. Lewis

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Nonlinear Multi-scale Super-resolution Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Wavelet-Based Reconstruction for Unlimited Sampling.

[BibT_eX]

[DOI]

Sunil Rudresh

Basty Ajay Shenoy

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

An Alternating Minimization Strategy for Sparse Blind Deconvolution - Convergence Analysis and Concentration Inequalities.

[BibT_eX]

[DOI]

CoRR, 2017

2014

Auditory-motivated Gammatone wavelet transform.

[BibT_eX]

[DOI]

Arun Venkitaraman

Signal Process., 2014

Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition.

[BibT_eX]

[DOI]

Suraj Srinivas

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

An alternating ℓp - ℓ2 projections algorithm (ALPA) for speech modeling using sparsity constraints.

[BibT_eX]

[DOI]