P. K. Srijith

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 51

Top Topics

Gaussian Process

Ordinary Differential Equations

Text Classification

Top Venues

Astron. Comput.

Publications

Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar
Transformer based Multitask Learning for Image Captioning and Object Detection. PAKDD (2) (2024)
Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar
Transformer based Multitask Learning for Image Captioning and Object Detection. CoRR (2024)
Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith
Continuous Depth Recurrent Neural Differential Equations. ECML/PKDD (2) (2023)
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
Time-to-Event Modeling with Hypernetwork based Hawkes Process. KDD (2023)
Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta
Continual Learning with Dependency Preserving Hypernetworks. WACV (2023)
Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
Event Uncertainty using Ensemble Neural Hawkes Process. COMAD/CODS (2023)
Srinadh Reddy Bhavanam, Sumohana S. Channappayya, P. K. Srijith, Shantanu Desai
Cosmic Ray rejection with attention augmented deep learning. Astron. Comput. 40 (2022)
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
HyperHawkes: Hypernetwork based Neural Temporal Point Process. CoRR (2022)
Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta
Continual Learning with Dependency Preserving Hypernetworks. CoRR (2022)
Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith
Continuous Depth Recurrent Neural Differential Equations. CoRR (2022)
Sahil Yerawar, Sagar Jinde, P. K. Srijith, Maunendra Sankar Desarkar, K. M. Annervaz, Shubhashis Sengupta
Predicting Reputation Score of Users in Stack-overflow with Alternate Data. KDIR (2022)
Srinivas Anumasa, P. K. Srijith
Latent Time Neural Ordinary Differential Equations. AAAI (2022)
Srinadh Reddy Bhavanam, Sumohana S. Channappayya, P. K. Srijith, Shantanu Desai
Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation. EUSIPCO (2022)
Suvodip Dey, Maunendra Sankar Desarkar, P. K. Srijith
Towards Generalized and Explainable Long-Range Context Representation for Dialogue Systems. CoRR (2022)
R. Gupta, P. K. Srijith, Shantanu Desai
Galaxy morphology classification using neural ordinary differential equations. Astron. Comput. 38 (2022)
Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik
Hawkes Process Classification through Discriminative Modeling of Text. IJCNN (2022)
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
Subset-of-data variational inference for deep Gaussian-processes regression. UAI (2021)
Srinivas Anumasa, P. K. Srijith
Delay Differential Neural Networks. ICMLT (2021)
Maunika Tamire, Srinivas Anumasa, P. K. Srijith
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification. CoRR (2021)
Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan
Adiabatic Quantum Feature Selection for Sparse Linear Regression. ICCS (6) (2021)
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. CoRR (2021)
Ragja Palakkadavath, P. K. Srijith
Bayesian Generative Adversarial Nets with Dropout Inference. COMAD/CODS (2021)
Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS (2021)
Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
Bayesian Neural Hawkes Process for Event Uncertainty Prediction. CoRR (2021)
Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C. Krishna Mohan
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection. CoRR (2021)
Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan
Adiabatic Quantum Feature Selection for Sparse Linear Regression. CoRR (2021)
Srinivas Anumasa, P. K. Srijith
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. CoRR (2021)
Srinivas Anumasa, P. K. Srijith
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. WACV (2021)
Srinivas Anumasa, P. K. Srijith
Latent Time Neural Ordinary Differential Equations. CoRR (2021)
P. Jayashree, Ballijepalli Shreya, P. K. Srijith
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. COMAD/CODS (2021)
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
Multi-view hypergraph convolution network for semantic annotation in LBSNs. ASONAM (2021)
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. SIGSPATIAL/GIS (2020)
Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian
STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. ICONIP (5) (2020)
Dinesh Jain, Srinivas Anumasa, P. K. Srijith
Decision Making under Uncertainty with Convolutional Deep Gaussian Processes. COMAD/CODS (2020)
P. Jayashree, P. K. Srijith
Evaluation of Deep Gaussian Processes for Text Classification. LREC (2020)
Srinivas Anumasa, P. K. Srijith
Delay Differential Neural Networks. CoRR (2020)
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. CoRR (2020)
Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik
Hawkes Process Classification through Discriminative Modeling of Text. CoRR (2020)
Harsh Raj, Suvodip Dey, Hiransh Gupta, P. K. Srijith
Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel. ICONIP (5) (2020)
Uddipta Bhattacharjee, P. K. Srijith, Maunendra Sankar Desarkar
Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns. COMSNETS (2019)
P. Jayashree, Ballijepalli Shreya, P. K. Srijith
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. CoRR (2019)
Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar
Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach. ASONAM (2018)
Ashwin Ram, P. K. Srijith
Accelerating Hawkes process for event history data: Application to social networks and recommendation systems. COMSNETS (2018)
Sherin Thomas, P. K. Srijith, Michal Lukasik
A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems. UMAP (2018)
Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas C. Damianou
Deep Gaussian Processes with Convolutional Kernels. CoRR (2018)
P. K. Srijith, Mark Hepple, Kalina Bontcheva, Daniel Preotiuc-Pietro
Sub-story detection in Twitter with hierarchical Dirichlet processes. Inf. Process. Manag. 53 (4) (2017)
P. K. Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn
Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks. ASONAM (2017)
P. K. Srijith, Mark Hepple, Kalina Bontcheva, Daniel Preotiuc-Pietro
Sub-Story Detection in Twitter with Hierarchical Dirichlet Processes. CoRR (2016)
Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. ACL (2) (2016)
P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. ECML/PKDD (1) (2016)
Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn
Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. LREC (2016)
Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. EMNLP (2015)
P. K. Srijith, Balamurugan P., Shirish K. Shevade
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. CoRR (2014)
P. K. Srijith, Shirish K. Shevade
Gaussian Process Multi-task Learning Using Joint Feature Selection. ECML/PKDD (3) (2014)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
Semi-supervised Gaussian Process Ordinal Regression. ECML/PKDD (3) (2013)
P. K. Srijith, Shirish K. Shevade
Multi-Task Learning Using Shared and Task Specific Information. ICONIP (3) (2012)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Conference on Artificial Intelligence (2012)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
Validation Based Sparse Gaussian Processes for Ordinal Regression. ICONIP (2) (2012)