Aniruddha Adiga
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
7
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACSSC | Causal Analysis of Graph Signals for Brain Effectome Inference. | Srikar Mutnuri, Aniruddha Adiga, Srinivasan Venkatramanan, Madhav V. Marathe |
| 2025 | IJCAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | WSC | 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 |
| 2022 | AAAI | CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. | Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe |
| 2021 | KDD | 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 |
| 2021 | WSC | Informing University Covid-19 Decisions Using Simple Compartmental Models. | Benjamin Hurt, Aniruddha Adiga, Madhav V. Marathe, Christopher L. Barrett |
| 2020 | ICASSP | Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network. | Pavan Kulkarni, Jishnu Sadasivan, Aniruddha Adiga, Chandra Sekhar Seelamantula |
| 2019 | ICASSP | Nonlinear Multi-scale Super-resolution Using Deep Learning. | Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim |
| 2018 | ICASSP | Wavelet-Based Reconstruction for Unlimited Sampling. | Sunil Rudresh, Aniruddha Adiga, Basty Ajay Shenoy, Chandra Sekhar Seelamantula |
| 2014 | ICIP | Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition. | Suraj Srinivas, Aniruddha Adiga, Chandra Sekhar Seelamantula |