Srijith, P. K.

12 publications

WACV 2025 AdaPrefix++: Integrating Adapters Prefixes and Hypernetwork for Continual Learning Sayanta Adhikari, Dupati Srikar Chandra, P. K. Srijith, Pankaj Wasnik, Naoyuki Oneo

WACV 2025 EvoCL: Continual Learning over Evolving Domains Vishnuprasadh Kumaravelu, P.K. Srijith, Sunil Gupta

ICLR 2025 Neural Wave Equation for Irregularly Sampled Sequence Data Arkaprava Majumdar, M Anand Krishna, P. K. Srijith

WACV 2023 Continual Learning with Dependency Preserving Hypernetworks Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta

ECML-PKDD 2023 Continuous Depth Recurrent Neural Differential Equations Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith

AAAI 2022 Latent Time Neural Ordinary Differential Equations Srinivas Anumasa, P. K. Srijith

NeurIPS 2021 CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai

WACV 2021 Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations Srinivas Anumasa, P. K. Srijith

UAI 2021 Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan

ECML-PKDD 2016 Gaussian Process Pseudo-Likelihood Models for Sequence Labeling P. K. Srijith, P. Balamurugan, Shirish K. Shevade

ECML-PKDD 2014 Gaussian Process Multi-Task Learning Using Joint Feature Selection P. K. Srijith, Shirish K. Shevade

ECML-PKDD 2013 Semi-Supervised Gaussian Process Ordinal Regression P. K. Srijith, Shirish K. Shevade, S. Sundararajan