P. K. Srijith - RankMe

70 papers A* 6A 7B 6C 1Misc 2Journal 26Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	AdaPrefix++: Integrating Adapters, Prefixes and Hypernetwork for Continual Learning. WACV Sayanta Adhikari, Dupati Srikar Chandra, P. K. Srijith, Pankaj Wasnik, Naoyuki Onoe
2025	J	`jnl`	An Unlearning Framework for Continual Learning. CoRR Sayanta Adhikari, Vishnuprasadh Kumaravelu, P. K. Srijith
2025	J	`jnl`	Bayesian neural hawkes process for event uncertainty prediction. Int. J. Data Sci. Anal. Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
2025	J	`jnl`	Efficient Uncertainty in LLMs through Evidential Knowledge Distillation. CoRR Lakshmana Sri Harsha Nemani, P. K. Srijith, Tomasz Kusmierczyk
2025	A	`conf`	EvoCL: Continual Learning over Evolving Domains. WACV Vishnuprasadh Kumaravelu, P. K. Srijith, Sunil Gupta
2025	—	`conf`	Linked Adapters: Linking Past and Future to Present for Effective Continual Learning. PAKDD (1) Dupati Srikar Chandra, P. K. Srijith, Dana Rezazadegan, Chris McCarthy
2025	A*	`conf`	Neural Wave Equation for Irregularly Sampled Sequence Data. ICLR Arkaprava Majumdar, M. Anand Krishna, P. K. Srijith
2025	A	`conf`	Pseudo-Inverse Prefix Tuning for Effective Unlearning in LLMs. CIKM Preethi Gurumurthy, P. K. Srijith
2024	—	`conf`	Drift-aware Neural Hawkes Process for Time-to-Event Modelling. COMAD/CODS (December) Vaibhav Shah, Manisha Dubey, Vishnuprasadh Kumaravelu, P. K. Srijith
2024	J	`jnl`	Linked Adapters: Linking Past and Future to Present for Effective Continual Learning. CoRR Dupati Srikar Chandra, P. K. Srijith, Dana Rezazadegan, Chris McCarthy
2024	A*	`conf`	TL-CL: Task And Language Incremental Continual Learning. EMNLP Shrey Satapara, P. K. Srijith
2024	—	`conf`	Transformer based Multitask Learning for Image Captioning and Object Detection. PAKDD (2) Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar
2024	J	`jnl`	Transformer based Multitask Learning for Image Captioning and Object Detection. CoRR Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar
2023	A	`conf`	Continual Learning with Dependency Preserving Hypernetworks. WACV Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta
2023	—	`conf`	Continuous Depth Recurrent Neural Differential Equations. ECML/PKDD (2) Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith
2023	C	`conf`	DialoGen: Generalized Long-Range Context Representation for Dialogue Systems. PACLIC Maunendra Sankar Desarkar Suvodip Dey, Asif Ekbal, P. K. Srijith
2023	—	`conf`	Event Uncertainty using Ensemble Neural Hawkes Process. COMAD/CODS Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
2023	A*	`conf`	Time-to-Event Modeling with Hypernetwork based Hawkes Process. KDD Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
2022	J	`jnl`	Continual Learning with Dependency Preserving Hypernetworks. CoRR Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta
2022	J	`jnl`	Continuous Depth Recurrent Neural Differential Equations. CoRR Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith
2022	—	`conf`	Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation. EUSIPCO Srinadh Reddy Bhavanam, Sumohana S. Channappayya, P. K. Srijith, Shantanu Desai
2022	J	`jnl`	Cosmic Ray rejection with attention augmented deep learning. Astron. Comput. Srinadh Reddy Bhavanam, Sumohana S. Channappayya, P. K. Srijith, Shantanu Desai
2022	J	`jnl`	Galaxy morphology classification using neural ordinary differential equations. Astron. Comput. R. Gupta, P. K. Srijith, Shantanu Desai
2022	B	`conf`	Hawkes Process Classification through Discriminative Modeling of Text. IJCNN Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik
2022	J	`jnl`	HyperHawkes: Hypernetwork based Neural Temporal Point Process. CoRR Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
2022	A*	`conf`	Latent Time Neural Ordinary Differential Equations. AAAI Srinivas Anumasa, P. K. Srijith
2022	—	`conf`	Predicting Reputation Score of Users in Stack-overflow with Alternate Data. KDIR Sahil Yerawar, Sagar Jinde, P. K. Srijith, Maunendra Sankar Desarkar, K. M. Annervaz, Shubhashis Sengupta
2022	J	`jnl`	Towards Generalized and Explainable Long-Range Context Representation for Dialogue Systems. CoRR Suvodip Dey, Maunendra Sankar Desarkar, P. K. Srijith
2021	—	`conf`	Adiabatic Quantum Feature Selection for Sparse Linear Regression. ICCS (6) Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan
2021	J	`jnl`	Adiabatic Quantum Feature Selection for Sparse Linear Regression. CoRR Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan
2021	—	`conf`	Bayesian Generative Adversarial Nets with Dropout Inference. COMAD/CODS Ragja Palakkadavath, P. K. Srijith
2021	J	`jnl`	Bayesian Neural Hawkes Process for Event Uncertainty Prediction. CoRR Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
2021	J	`jnl`	Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification. CoRR Maunika Tamire, Srinivas Anumasa, P. K. Srijith
2021	A*	`conf`	CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
2021	—	`conf`	Delay Differential Neural Networks. ICMLT Srinivas Anumasa, P. K. Srijith
2021	A	`conf`	Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. WACV Srinivas Anumasa, P. K. Srijith
2021	J	`jnl`	Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. CoRR Srinivas Anumasa, P. K. Srijith
2021	J	`jnl`	Latent Time Neural Ordinary Differential Equations. CoRR Srinivas Anumasa, P. K. Srijith
2021	—	`conf`	Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. COMAD/CODS P. Jayashree, Ballijepalli Shreya, P. K. Srijith
2021	J	`jnl`	Monte Carlo DropBlock for Modelling Uncertainty in Object Detection. CoRR Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C. Krishna Mohan
2021	B	`conf`	Multi-view hypergraph convolution network for semantic annotation in LBSNs. ASONAM Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
2021	J	`jnl`	Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. CoRR Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
2021	A	`conf`	Subset-of-data variational inference for deep Gaussian-processes regression. UAI Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
2020	—	`conf`	Decision Making under Uncertainty with Convolutional Deep Gaussian Processes. COMAD/CODS Dinesh Jain, Srinivas Anumasa, P. K. Srijith
2020	J	`jnl`	Delay Differential Neural Networks. CoRR Srinivas Anumasa, P. K. Srijith
2020	B	`conf`	Evaluation of Deep Gaussian Processes for Text Classification. LREC P. Jayashree, P. K. Srijith
2020	—	`conf`	HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. SIGSPATIAL/GIS Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
2020	J	`jnl`	HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. CoRR Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
2020	J	`jnl`	Hawkes Process Classification through Discriminative Modeling of Text. CoRR Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik
2020	—	`conf`	Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel. ICONIP (5) Harsh Raj, Suvodip Dey, Hiransh Gupta, P. K. Srijith
2020	—	`conf`	STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. ICONIP (5) Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian
2019	J	`jnl`	Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. CoRR P. Jayashree, Ballijepalli Shreya, P. K. Srijith
2019	Misc	`conf`	Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns. COMSNETS Uddipta Bhattacharjee, P. K. Srijith, Maunendra Sankar Desarkar
2018	A	`conf`	A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems. UMAP Sherin Thomas, P. K. Srijith, Michal Lukasik
2018	Misc	`conf`	Accelerating Hawkes process for event history data: Application to social networks and recommendation systems. COMSNETS Ashwin Ram, P. K. Srijith
2018	B	`conf`	Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach. ASONAM Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar
2018	J	`jnl`	Deep Gaussian Processes with Convolutional Kernels. CoRR Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas C. Damianou
2017	B	`conf`	Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks. ASONAM P. K. Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn
2017	J	`jnl`	Sub-story detection in Twitter with hierarchical Dirichlet processes. Inf. Process. Manag. P. K. Srijith, Mark Hepple, Kalina Bontcheva, Daniel Preotiuc-Pietro
2016	—	`conf`	Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. ECML/PKDD (1) P. K. Srijith, P. Balamurugan, Shirish K. Shevade
2016	—	`conf`	Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. ACL (2) Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn
2016	B	`conf`	Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. LREC Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn
2016	J	`jnl`	Sub-Story Detection in Twitter with Hierarchical Dirichlet Processes. CoRR P. K. Srijith, Mark Hepple, Kalina Bontcheva, Daniel Preotiuc-Pietro
2015	A*	`conf`	Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. EMNLP Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva
2014	—	`conf`	Gaussian Process Multi-task Learning Using Joint Feature Selection. ECML/PKDD (3) P. K. Srijith, Shirish K. Shevade
2014	J	`jnl`	Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. CoRR P. K. Srijith, Balamurugan P., Shirish K. Shevade
2013	—	`conf`	Semi-supervised Gaussian Process Ordinal Regression. ECML/PKDD (3) P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2012	—	`conf`	A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Conference on Artificial Intelligence P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2012	—	`conf`	Multi-Task Learning Using Shared and Task Specific Information. ICONIP (3) P. K. Srijith, Shirish K. Shevade
2012	—	`conf`	Validation Based Sparse Gaussian Processes for Ordinal Regression. ICONIP (2) P. K. Srijith, Shirish K. Shevade, S. Sundararajan