Damith A. Senanayake

According to our database, Damith A. Senanayake authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Graph-Eq: Discovering Mathematical Equations using Graph Generative Models.

Nisal Ranasinghe, Damith A. Senanayake, Saman K. Halgamuge

CoRR, March, 2025

Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning.

Deshani Geethika Poddenige, Sachith Seneviratne, Damith A. Senanayake, Mahesan Niranjan, Ponnuthurai N. Suganthan, Saman K. Halgamuge

CoRR, March, 2025

2024

Insights into Artificial Intelligence Bias: Implications for Agriculture.

Mathuranathan Mayuravaani, Amirthalingam Ramanan, Maneesha Perera, Damith A. Senanayake, Rajith Vidanaarachchi

Digit. Soc., December, 2024

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, Damith A. Senanayake, Saman K. Halgamuge

CoRR, 2024

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks.

Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations.

Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning.

Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DALLE-URBAN: Capturing the urban design expertise of large text to image transformers.

Sachith Seneviratne, Damith A. Senanayake, Sanka Rasnayaka, Rajith Vidanaarachchi, Jason Thompson

CoRR, 2022

Dimensionality reduction for visualizing high-dimensional biological data.

Tamasha Malepathirana, Damith A. Senanayake, Rajith Vidanaarachchi, Vini Gautam, Saman K. Halgamuge

Biosyst., 2022

2021

Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization.

Damith A. Senanayake, Wei Wang, Shalin H. Naik, Saman K. Halgamuge

IEEE Trans. Neural Networks Learn. Syst., 2021

Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data.

Tamasha Malepathirana, Damith A. Senanayake, Vini Gautam, Saman K. Halgamuge

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2020

Exploratory Analysis of Highly Dimensional Data: Parametric Methods for Dimensionality Reduction, Visualization and Feature Extraction with Applications in Computational Biology.

Damith A. Senanayake

PhD thesis, 2020

2019

ENVirT: inference of ecological characteristics of viruses from metagenomic data.

Duleepa Jayasundara, Damayanthi Herath, Damith A. Senanayake, Isaam Saeed, Cheng-Yu Yang, Yuan Sun, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge

BMC Bioinform., 2019