An alternating ℓp - ℓ2 projections algorithm (ALPA) for speech modeling using sparsity constraints. - Aniruddha Adiga; Chandra Sekhar Seelamantula (DSP, 2014)

Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition. - Suraj Srinivas; Aniruddha Adiga; Chandra Sekhar Seelamantula (ICIP, 2014)

Auditory-motivated Gammatone wavelet transform. - Arun Venkitaraman; Aniruddha Adiga; Chandra Sekhar Seelamantula (Signal Process., 2014)

An Alternating Minimization Strategy for Sparse Blind Deconvolution - Convergence Analysis and Concentration Inequalities. - Aniruddha Adiga; Chandra Sekhar Seelamantula (CoRR, 2017)

Wavelet-Based Reconstruction for Unlimited Sampling. - Sunil Rudresh; Aniruddha Adiga; Basty Ajay Shenoy; Chandra Sekhar Seelamantula (ICASSP, 2018)

Nonlinear Multi-scale Super-resolution Using Deep Learning. - Kenneth Tran; Ashkan Panahi; Aniruddha Adiga; Wesam A. Sakla; Hamid Krim (ICASSP, 2019)

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. - Lijing Wang 001; Aniruddha Adiga; Srinivasan Venkatramanan; Jiangzhuo Chen; Bryan L. Lewis; Madhav V. Marathe (IEEE BigData, 2020)

Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network. - Pavan Kulkarni; Jishnu Sadasivan; Aniruddha Adiga; Chandra Sekhar Seelamantula (ICASSP, 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)

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 001; Aniruddha Adiga; Adam Sadilek; Ashish Tendulkar; Madhav V. Marathe; Rajesh Sundaresan; et al. (AAMAS, 2021)

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. - Aniruddha Adiga; Lijing Wang 001; Benjamin Hurt; Akhil Sai Peddireddy; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Bryan Leroy Lewis; Madhav V. Marathe (KDD, 2021)

Informing University Covid-19 Decisions Using Simple Compartmental Models. - Benjamin Hurt; Aniruddha Adiga; Madhav V. Marathe; Christopher L. Barrett (WSC, 2021)

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. - Lijing Wang 001; Aniruddha Adiga; Jiangzhuo Chen; Adam Sadilek; Srinivasan Venkatramanan; Madhav V. Marathe (AAAI, 2022)

Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. - Aniruddha Adiga; Gursharn Kaur; Benjamin Hurt; Lijing Wang 001; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Bryan L. Lewis; Madhav V. Marathe (IEEE Big Data, 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)

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. - Aniruddha Adiga; Gursharn Kaur; Lijing Wang 001; Benjamin Hurt; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Bryan L. Lewis; Madhav V. Marathe (AAAI, 2023)

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. - Aniruddha Adiga; Benjamin Hurt; Gursharn Kaur; Bryan Lewis 001; Madhav V. Marathe; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Ambedkar Dukkipati; Tony Gracious; Shubham Gupta; Nihesh Rathod; Rajesh Sundaresan; et al. (WSC, 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; et al. (Int. J. High Perform. Comput. Appl., 2023)

Challenges of COVID-19 Case Forecasting in the US, 2020-2021. - Velma K. Lopez; Estee Y. Cramer; Robert Pagano; John M. Drake; Eamon B. O'Dea; Madeline Adee; Turgay Ayer; Jagpreet Chhatwal; Ozden O. Dalgic; Mary A. Ladd; Benjamin P. Linas; Peter P. Mueller; et al. (PLoS Comput. Biol., 2024)

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation. - Oishee Bintey Hoque; Abhijin Adiga; Aniruddha Adiga; Siddharth Chaudhary; Madhav V. Marathe; S. S. Ravi; Kirti Rajagopalan; Amanda Wilson; Samarth Swarup (CoRR, 2025)