papers
Publications (8)
cs.LG2024
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
Maneesha Perera, Julian De Hoog, Kasun Bandara +2
cs.CV2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
Tamasha Malepathirana, Damith Senanayake, Saman Halgamuge
cs.CV2020
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization
Damith Senanayake, Wei Wang, Shalin H. Naik +1
cs.CV2022
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
Sachith Seneviratne, Damith Senanayake, Sanka Rasnayaka +2
cs.LG2025
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models
Nisal Ranasinghe, Damith Senanayake, Saman Halgamuge
cs.LG2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne +2
cs.LG2026
Arch-VQ: Discrete Architecture Representation Learning with Autoregressive Priors
Deshani Geethika Poddenige, Sachith Seneviratne, Asela Hevapathige +4
cs.LG2024
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana +3