Aniruddha Adiga

According to our database, Aniruddha Adiga authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Parantapa Bhattacharya, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe

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

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

Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, Nihesh Rathod, Rajesh Sundaresan, Sarath Yasodharan, Kantha Rao Bhimala, Vidyadhar Mudkavi, Gopal Krishna Patra, Siva Athreya

Proceedings of the Winter Simulation Conference, 2023

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

Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe

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.

Zakaria Mehrab, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, Samarth Swarup

ACM Trans. Spatial Algorithms Syst., 2022

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

Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe

Proceedings of the IEEE International Conference on Big Data, 2022

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

Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe

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

2021

Informing University Covid-19 Decisions Using Simple Compartmental Models.

Benjamin Hurt, Aniruddha Adiga, Madhav V. Marathe, Christopher L. Barrett

Proceedings of the Winter Simulation Conference, 2021

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

Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe

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.

Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe

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

2020

Models for COVID-19 Pandemic: A Comparative Analysis.

Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti

CoRR, 2020

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

Pavan Kulkarni, Jishnu Sadasivan, Aniruddha Adiga, Chandra Sekhar Seelamantula

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe

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

2019

Nonlinear Multi-scale Super-resolution Using Deep Learning.

Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Wavelet-Based Reconstruction for Unlimited Sampling.

Sunil Rudresh, Aniruddha Adiga, Basty Ajay Shenoy, Chandra Sekhar Seelamantula

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

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

Aniruddha Adiga, Chandra Sekhar Seelamantula

CoRR, 2017

2014

Auditory-motivated Gammatone wavelet transform.

Arun Venkitaraman, Aniruddha Adiga, Chandra Sekhar Seelamantula

Signal Process., 2014

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

Suraj Srinivas, Aniruddha Adiga, Chandra Sekhar Seelamantula

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

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

Aniruddha Adiga, Chandra Sekhar Seelamantula

Proceedings of the 19th International Conference on Digital Signal Processing, 2014