Kehelwala Dewage Gayan Maduranga

According to our database, Kehelwala Dewage Gayan Maduranga authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

KriGNN: A Hybrid Kriging and Graph Neural Network Framework for Spatio-Temporal Air Pollution Forecasting.

Belguutei Ariuntugs, Kehelwala Dewage Gayan Maduranga

Proceedings of the IEEE International Conference on Data Mining, 2025

Advanced Hybrid RNN Architectures for Real-time Cryptocurrency Forecasting and Strategic Trading Optimization.

Kehelwala Dewage Gayan Maduranga, Shamima Nasrin Tumpa

Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

Curvature-Adaptive Learning Rate Optimizer: Theoretical Insights and Empirical Evaluation on Neural Network Training.

Kehelwala Dewage Gayan Maduranga

Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

2024

Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization.

Shamima Nasrin Tumpa, Kehelwala Dewage Gayan Maduranga

CoRR, 2024

Optimization of Actuarial Neural Networks with Response Surface Methodology.

Belguutei Ariuntugs, Kehelwala Dewage Gayan Maduranga

CoRR, 2024

2023

Symmetry-structured convolutional neural networks.

Kehelwala Dewage Gayan Maduranga, Vasily Zadorozhnyy, Qiang Ye

Neural Comput. Appl., February, 2023

HomOpt: A Homotopy-Based Hyperparameter Optimization Method.

Sophia J. Abraham, Kehelwala D. G. Maduranga, Jeffery Kinnison, Zachariah Carmichael, Jonathan D. Hauenstein, Walter J. Scheirer

CoRR, 2023

NCQS: Nonlinear Convex Quadrature Surrogate Hyperparameter Optimization.

Sophia J. Abraham, Kehelwala Dewage Gayan Maduranga, Jeffery Kinnison, Jonathan D. Hauenstein, Walter J. Scheirer

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

2019

Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform.

Kehelwala Dewage Gayan Maduranga, Kyle E. Helfrich, Qiang Ye

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019