Aniruddha Adiga

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

High Resolution

Convergence Analysis

Wavelet Transform

Top Venues

Publications

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
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37 (1) (2023)
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
A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. WSC (2023)
Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. AAAI (2023)
Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. AAAI (2022)
Zakaria Mehrab, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, Samarth Swarup
Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19. ACM Trans. Spatial Algorithms Syst. 8 (4) (2022)
Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. Big Data (2022)
Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav Marathe
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. KDD (2021)
Benjamin Hurt, Aniruddha Adiga, Madhav Marathe, Christopher L. Barrett
Informing University Covid-19 Decisions Using Simple Compartmental Models. WSC (2021)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS (2021)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. IEEE BigData (2020)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR (2020)
Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti
Models for COVID-19 Pandemic: A Comparative Analysis. CoRR (2020)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. CoRR (2020)
Pavan Kulkarni, Jishnu Sadasivan, Aniruddha Adiga, Chandra Sekhar Seelamantula
Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network. ICASSP (2020)
Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim
Nonlinear Multi-scale Super-resolution Using Deep Learning. ICASSP (2019)
Sunil Rudresh, Aniruddha Adiga, Basty Ajay Shenoy, Chandra Sekhar Seelamantula
Wavelet-Based Reconstruction for Unlimited Sampling. ICASSP (2018)
Aniruddha Adiga, Chandra Sekhar Seelamantula
An Alternating Minimization Strategy for Sparse Blind Deconvolution - Convergence Analysis and Concentration Inequalities. CoRR (2017)
Suraj Srinivas, Aniruddha Adiga, Chandra Sekhar Seelamantula
Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition. ICIP (2014)
Arun Venkitaraman, Aniruddha Adiga, Chandra Sekhar Seelamantula
Auditory-motivated Gammatone wavelet transform. Signal Process. 94 (2014)
Aniruddha Adiga, Chandra Sekhar Seelamantula
An alternating ℓp - ℓ2 projections algorithm (ALPA) for speech modeling using sparsity constraints. DSP (2014)