| 2022 | AIED | A Semi-automatic Approach for Generating Video Trailers for Learning Pathways. | Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan |
| 2021 | IJCNN | Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. | Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan |
| 2018 | WWW | Contextual Web Summarization: A Supervised Ranking Approach. | Amit Sarkar, G. Srinivasaraghavan |
| 2016 | ICMLA | Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data. | Saurabh Deshpande, Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara |
| 2016 | ICMLC | On learning mixed Bayesian networks. | Aakanksha Bapna, G. Srinivasaraghavan |
| 2014 | HiPC | Premonition of storage response class using Skyline ranked Ensemble method. | Kumar Dheenadayalan, V. N. Muralidhara, Pushpa Datla, G. Srinivasaraghavan, Maulik Shah |
| 1995 | LATIN | Tight Bounds for Finding Degrees from the Adjacency Matrix. | R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan |
| 1993 | WADS | The Complexity of Finding Certain Trees in Tournaments. | R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan |