Srijith P. K.
Associate Professor
Publications - 43Publications - 43
Publications - 43Publications (43)
Sort by Year (most recent)
Sort by Year (oldest first)
Sort by Most Cited
Sort by Recently Added
Sort (A-Z)
Sort (Z-A)
ConferencesMonte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation2023 | Association for Computing Machinery- ConferencesEvent Uncertainty using Ensemble Neural Hawkes Process2023 | Association for Computing Machinery
- ConferencesContinual Learning with Dependency Preserving Hypernetworks2023 | Institute of Electrical and Electronics Engineers Inc.
ArticlesTwo dimensional clustering of Gamma-Ray Bursts using durations and hardness2022 | Springer Science and Business Media B.V.
ArticlesGalaxy morphology classification using neural ordinary differential equations2022 | Elsevier B.V.- ConferencesPredicting Reputation Score of Users in Stack-overflow with Alternate Data2022 | Science and Technology Publications, Lda
ArticlesVariational inference as an alternative to MCMC for parameter estimation and model selection2022 | Cambridge University Press- ConferencesBi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification2022 | Association for Computational Linguistics (ACL)
- ConferencesLatent Time Neural Ordinary Differential Equations2022 | Association for the Advancement of Artificial Intelligence
- ConferencesHawkes Process Classification through Discriminative Modeling of Text2022 | Institute of Electrical and Electronics Engineers Inc.
- ConferencesCosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation2022 | European Signal Processing Conference, EUSIPCO
- ArticlesSubset-of-Data Variational Inference for Deep Gaussian-Processes Regression2021 | Association For Uncertainty in Artificial Intelligence (AUAI)
ConferencesImproving robustness and uncertainty modelling in neural ordinary differential equations2021 | Institute of Electrical and Electronics Engineers Inc.- ConferencesMulti-view hypergraph convolution network for semantic annotation in LBSNs2021 | Association for Computing Machinery, Inc
- ConferencesAdiabatic Quantum Feature Selection for Sparse Linear Regression2021 | Springer Science and Business Media Deutschland GmbH
- ConferencesCAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks2021 | Neural information processing systems foundation
- ConferencesImproving Adaptive Bayesian Optimization with Spectral Mixture Kernel2020 | Springer Science and Business Media Deutschland GmbH
- ConferencesHAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process2020 | Association for Computing Machinery
