| 2025 | CIKM | Pseudo-Inverse Prefix Tuning for Effective Unlearning in LLMs. | Preethi Gurumurthy, P. K. Srijith |
| 2025 | ICLR | Neural Wave Equation for Irregularly Sampled Sequence Data. | Arkaprava Majumdar, M. Anand Krishna, P. K. Srijith |
| 2025 | PAKDD | Linked Adapters: Linking Past and Future to Present for Effective Continual Learning. | Dupati Srikar Chandra, P. K. Srijith, Dana Rezazadegan, Chris McCarthy |
| 2025 | WACV | AdaPrefix++: Integrating Adapters, Prefixes and Hypernetwork for Continual Learning. | Sayanta Adhikari, Dupati Srikar Chandra, P. K. Srijith, Pankaj Wasnik, Naoyuki Onoe |
| 2025 | WACV | EvoCL: Continual Learning over Evolving Domains. | Vishnuprasadh Kumaravelu, P. K. Srijith, Sunil Gupta |
| 2024 | COMAD | Drift-aware Neural Hawkes Process for Time-to-Event Modelling. | Vaibhav Shah, Manisha Dubey, Vishnuprasadh Kumaravelu, P. K. Srijith |
| 2024 | EMNLP | TL-CL: Task And Language Incremental Continual Learning. | Shrey Satapara, P. K. Srijith |
| 2024 | PAKDD | Transformer based Multitask Learning for Image Captioning and Object Detection. | Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar |
| 2023 | COMAD | Event Uncertainty using Ensemble Neural Hawkes Process. | Manisha Dubey, Ragja Palakkadavath, P. K. Srijith |
| 2023 | KDD | Time-to-Event Modeling with Hypernetwork based Hawkes Process. | Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar |
| 2023 | PACLIC | DialoGen: Generalized Long-Range Context Representation for Dialogue Systems. | Maunendra Sankar Desarkar Suvodip Dey, Asif Ekbal, P. K. Srijith |
| 2023 | WACV | Continual Learning with Dependency Preserving Hypernetworks. | Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta |
| 2022 | AAAI | Latent Time Neural Ordinary Differential Equations. | Srinivas Anumasa, P. K. Srijith |
| 2022 | IC3K | Predicting Reputation Score of Users in Stack-overflow with Alternate Data. | Sahil Yerawar, Sagar Jinde, P. K. Srijith, Maunendra Sankar Desarkar, K. M. Annervaz, Shubhashis Sengupta |
| 2022 | IJCNN | Hawkes Process Classification through Discriminative Modeling of Text. | Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik |
| 2021 | COMAD | Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. | P. Jayashree, Ballijepalli Shreya, P. K. Srijith |
| 2021 | COMAD | Bayesian Generative Adversarial Nets with Dropout Inference. | Ragja Palakkadavath, P. K. Srijith |
| 2021 | ICCS | Adiabatic Quantum Feature Selection for Sparse Linear Regression. | Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan |
| 2021 | WACV | Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. | Srinivas Anumasa, P. K. Srijith |
| 2021 | UAI | Subset-of-data variational inference for deep Gaussian-processes regression. | Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan |
| 2020 | COMAD | Decision Making under Uncertainty with Convolutional Deep Gaussian Processes. | Dinesh Jain, Srinivas Anumasa, P. K. Srijith |
| 2020 | ICONIP | Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel. | Harsh Raj, Suvodip Dey, Hiransh Gupta, P. K. Srijith |
| 2020 | ICONIP | STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. | Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian |
| 2020 | LREC | Evaluation of Deep Gaussian Processes for Text Classification. | P. Jayashree, P. K. Srijith |
| 2019 | COMSNETS | Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns. | Uddipta Bhattacharjee, P. K. Srijith, Maunendra Sankar Desarkar |
| 2018 | COMSNETS | Accelerating Hawkes process for event history data: Application to social networks and recommendation systems. | Ashwin Ram, P. K. Srijith |
| 2016 | ACL | Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. | Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn |
| 2016 | LREC | Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. | Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn |
| 2015 | EMNLP | Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. | Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva |
| 2012 | ICONIP | Multi-Task Learning Using Shared and Task Specific Information. | P. K. Srijith, Shirish K. Shevade |
| 2012 | ICONIP | Validation Based Sparse Gaussian Processes for Ordinal Regression. | P. K. Srijith, Shirish K. Shevade, S. Sundararajan |