Publications
Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2022. Continual Learning for Time-to-Event Modeling, Accepted at Workshop on Continual Lifelong Learning, ACML, 2022.
Manisha Dubey, Ragja Palakkadavath, P.K. Srijith, 2023. Event Uncertainty Prediction using Ensemble Neural Hawkes Process, Accepted at CoDS-COMAD, 2023
Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2022. HyperHawkes: Hypernetwork based Neural Temporal Point Process, arXiv available.
Manisha Dubey, Ragja Palakkadavath, P.K. Srijith, 2021. Bayeisan Neural Hawkes Process for Event Uncertainty Prediction, arXiv available.
Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2021. Multi-view Hypergraph Convolution Network for Semantic Annotation in LBSNs, Accepted at ASONAM, 2021
Rohan Tondulkar, Manisha Dubey, P.K. Srijith and Michal Lukasik, 2020. Hawkes Process Classification through Discriminative Modeling of Text. arXiv preprint available!
Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2020. Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. Poster accepted at WiML, NeurIPS, 2020
Manisha Dubey, P.K Srijith and Maunendra Sankar Desarkar, 2020. HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. Accepted at SIGSPATIAL, 2020
Rohan Tondulkar, Manisha Dubey and Maunendra Sankar Desarkar, 2018, September. Get me the best: predicting best answerers in community question answering sites. Accepted at RecSys, 2018
Service
Reviewer of AAAI 2021, ACML 2021
Sub-reviewer of some major conferences like ICML, AAAI, IJCAI, CoDS-COMAD.
Volunteer at ICLR 2021, NeurIPS 2020, NCC 2018.