Damith A. Senanayake

17 papers A* 3C 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning. CoRR Deshani Geethika Poddenige, Sachith Seneviratne, Damith A. Senanayake, Mahesan Niranjan, Ponnuthurai N. Suganthan, Saman K. Halgamuge
2025	J	`jnl`	Graph-Eq: Discovering Mathematical Equations using Graph Generative Models. CoRR Nisal Ranasinghe, Damith A. Senanayake, Saman K. Halgamuge
2024	J	`jnl`	Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. CoRR Maneesha Perera, Julian de Hoog, Kasun Bandara, Damith A. Senanayake, Saman K. Halgamuge
2024	A*	`conf`	GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. AAAI Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge
2024	J	`jnl`	Insights into Artificial Intelligence Bias: Implications for Agriculture. Digit. Soc. Mathuranathan Mayuravaani, Amirthalingam Ramanan, Maneesha Perera, Damith A. Senanayake, Rajith Vidanaarachchi
2024	J	`jnl`	When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. CoRR Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge
2024	A*	`conf`	When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. AAAI Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge
2023	J	`jnl`	GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. CoRR Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge
2023	A*	`conf`	NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. ICCV Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge
2023	J	`jnl`	NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. CoRR Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge
2022	J	`jnl`	DALLE-URBAN: Capturing the urban design expertise of large text to image transformers. CoRR Sachith Seneviratne, Damith A. Senanayake, Sanka Rasnayaka, Rajith Vidanaarachchi, Jason Thompson
2022	J	`jnl`	Dimensionality reduction for visualizing high-dimensional biological data. Biosyst. Tamasha Malepathirana, Damith A. Senanayake, Rajith Vidanaarachchi, Vini Gautam, Saman K. Halgamuge
2021	C	`conf`	Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data. CIBCB Tamasha Malepathirana, Damith A. Senanayake, Vini Gautam, Saman K. Halgamuge
2021	J	`jnl`	Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization. IEEE Trans. Neural Networks Learn. Syst. Damith A. Senanayake, Wei Wang, Shalin H. Naik, Saman K. Halgamuge
2020	—	`—`	Exploratory Analysis of Highly Dimensional Data: Parametric Methods for Dimensionality Reduction, Visualization and Feature Extraction with Applications in Computational Biology. Damith A. Senanayake
2019	J	`jnl`	ENVirT: inference of ecological characteristics of viruses from metagenomic data. BMC Bioinform. Duleepa Jayasundara, Damayanthi Herath, Damith A. Senanayake, Isaam Saeed, Cheng-Yu Yang, Yuan Sun, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge
2019	J	`jnl`	Self Organizing Nebulous Growths for Robust and Incremental Data Visualization. CoRR Damith A. Senanayake, Wei Wang, Shalin H. Naik, Saman K. Halgamuge