Browse by IITH Authors

Dubey, Manisha and Palakkadavath, Ragja and Srijith, P K (2023) Event Uncertainty using Ensemble Neural Hawkes Process. In: 6th ACM India Joint International Conference on Data Science and Management of Data, CODS-COMAD 2023, 4-7 January 2023, Mumbai.

Jain, Shubham and Srijith, P K (2023) Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. In: 6th ACM India Joint International Conference on Data Science and Management of Data, CODS-COMAD 2023, 4-7 January 2023, Mumbai.

Tamire, M. and Anumasa, S. and Srijith, P K (2022) Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification. In: 2nd WIT-Workshop On Deriving Insights From User-Generated Text, WIT 2022, 27 May 2022, Dublin.

Bhavanam, S.R. and Channappayya, Sumohana S. and Srijith, P K and Desai, Shantanu (2022) Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation. In: 30th European Signal Processing Conference, EUSIPCO 2022, 29 August 2022through 2 September 2022, Belgrade.

Bhavanam, S.R. and Channappayya, S.S. and Srijith, P.K. and Desai, S. (2022) Cosmic Ray rejection with attention augmented deep learning. Astronomy and Computing, 40. pp. 1-17. ISSN 2213-1337

Gupta, R. and Srijith, P K and Desai, Shantanu (2022) Galaxy morphology classification using neural ordinary differential equations. Astronomy and Computing, 38. p. 100543. ISSN 2213-1337

Tondulkar, Rohan and Dubey, Manisha and Srijith, P K and et al, . (2022) Hawkes Process Classification through Discriminative Modeling of Text. In: 2022 International Joint Conference on Neural Networks, IJCNN 2022, 18 July 2022through 23 July 2022, Padua.

Bhave, Aishwarya and Kulkarni, Soham and Desai, Shantanu and Srijith, P K (2022) Two dimensional clustering of Gamma-Ray Bursts using durations and hardness. Astrophysics and Space Science, 367 (4). ISSN 0004-640X

Gunapati, Geetakrishnasai and Jain, Anirudh and Srijith, P. K. and Desai, Shantanu (2022) Variational inference as an alternative to MCMC for parameter estimation and model selection. Publications of the Astronomical Society of Australia, 39. ISSN 1323-3580

Desu, S. and Srijith, P. K. and Rao, M. V. P. and et al, . (2021) Adiabatic Quantum Feature Selection for Sparse Linear Regression. In: 21st International Conference on Computational Science, ICCS 2021, 16 June 2021 to 18 June 2021, Virtual, Online.

Varshney, Sakshi and Verma, Vinay Kumar and Srijith, P K (2021) CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, 6 December 2021 through 14 December 2021, Virtual, Online.

Anumasa, S. and Srijith, P.K. (2021) Delay differential neural networks. In: 6th International Conference on Machine Learning Technologies, 23 April 2021 through 25 April 2021, Virtual, Online.

Anumasa, Srinivas and Srijith, P K (2021) Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. In: 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021, 5 January 2021 through 9 January 2021, Virtual, Online.

Dubey, Manisha and Srijith, P K and Desarkar, Maunendra Sankar (2021) Multi-view hypergraph convolution network for semantic annotation in LBSNs. In: 13th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021, Virtual, Online.

Jain, A. and Srijith, P K and Khan, M.E. (2021) Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. In: 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, 27 July 2021through 30 July 2021, Virtual, Online.

Agrawal, Prashansa and Franklin, Antony and Pawar, Digvijay S and Srijith, P K (2021) Traffic Incident Duration Prediction using BERT Representation of Text. In: 94th IEEE Vehicular Technology Conference, VTC 2021-Fall, 27 September 2021 through 30 September 2021, Virtual, Online.

Dubey, Manisha and Srijith, P.K. and Desarkar, Maunendra Sankar (2020) HAP-SAP:Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. In: GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, 3 November 2020 - 6 November 2020.

Kundu, Shounak and Desarkar, Maunendra Sankar and Srijith, P. K. (2020) Traffic Forecasting with Deep Learning. In: 2020 IEEE Region 10 Symposium, TENSYMP 2020, 5 June 2020 - 7 June 2020.

Palakkadavath, Ragja and Srijith, P K (2020) Bayesian Generative Adversarial Nets with Dropout Inference. In: 3rd ACM India Joint International Conference on Data Science and Management of Data, CODS-COMAD 2021, 2 January 2021through 4 January 2021, Virtual, Online.

Jain, D and Anumasa, S and Srijith, P K (2020) Decision making under uncertainty with convolutional deep Gaussian processes. In: ACM India Joint 7th ACM IKDD Conference on Data Science and 25th International Conference on Management of Data, CoDS-COMAD, 5-7 January 2020, Hyderabad, India.

Jayashree, P. and Srijith, P K (2020) Evaluation of deep Gaussian processes for text classification. In: 12th International Conference on Language Resources and Evaluation, LREC 2020, 11 May 2020through 16 May 2020, Marseille.

Raj, Harsh and Dey, Suvodip and Gupta, Hiransh and Srijith, P K (2020) Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel. In: 27th International Conference on Neural Information Processing, ICONIP 2020, 18 - 22 November 2020, Bangkok.

Likhyani, Ankita and Gupta, Vinayak and Srijith, P K and P., Deepak and Bedathur, Srikanta (2020) Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes. In: 21st International Conference on Web Information Systems Engineering, WISE 2020, 20-24 October 2020, Amsterdam.

Varshney, Sakshi and Srijith, P. K. and Balasubramanian, Vineeth N. (2020) STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. In: 27th International Conference on Neural Information Processing, ICONIP 2020, 18-22 November 2020, Bangkok.

Jayashree, P and Ballijepalli, Shreya and Srijith, P K (2019) Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence. arXiv.org.

Bhattacharjee, Uddipta and Srijith, P K and Desarkar, Maunendra Sankar (2019) Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Jain, Dinesh and Srijith, P K (2019) Uncertainity quantification in Convolutional Deep Gaussian Process. Masters thesis, Indian institute of technology Hyderabad.

Ram, Ashwin and Srijith, P K (2018) Accelerating Hawkes process for event history data: Application to social networks and recommendation systems. In: 10th International Conference on Communication Systems & Networks (COMSNETS), 3-7 January 2018, Bengaluru, India.

Thomas, Sherin and Srijith, P K (2018) A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems. Masters thesis, Indian Institute of Technology Hyderabad.

Thomas, Sherin and Srijith, P K and Lukasik, M (2018) A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems. In: UMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 8-11 July 2018, Singapore.

Kundu, Shamik and Srijith, P K (2018) Classification of Short-Texts Generated During Disasters: Traditional and Deep learning Approach. Masters thesis, Indian Institute of Technology Hyderabad.

Kundu, Shamik and Srijith, P K and Desarkar, Maunendra Sankar (2018) Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach. In: 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM, 28-31 August 2018, Barcelona, Spain.

Singh, Vaibhav and Srijith, P K (2018) Convolutional Deep Gaussian Processes. Masters thesis, Indian Institute of Technology Hyderabad.

Kumar, Vinayak and Singh, Vaibhav and Srijith, P K and et al, . (2018) Deep Gaussian Processes with Convolutional Kernels. arXiv.org.

Jain, Anirudh and Srijith, P K and Desai, Shantanu (2018) Variational Inference as an alternative to MCMC for parameter estimationand model selection. arXiv.org.

Ram, Ashwin and Srijith, P K (2017) Accelerating Hawkes Process for Modelling Event History Data. In: ICML 2017 Time Series Workshop, Sydney, Australia.

Srijith, P K and Lukasik, M and Bontcheva, K and Cohn, T (2017) Longitudinal Modeling of Social Media with Hawkes Process based on Users and Networks. In: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 31 July - 03 August, 2017, Sydney, Australia.

Bhave, Aishwarya and Desai, Shantanu and Srijith, P K and et al, . (2017) Two Dimensional Clustering of Gamma-Ray Bursts using durations and hardness. arXiv.org.