Damith A. Senanayake

17 papers A* 3C 1Journal 12
YearRankTypeTitle / 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