Kishan Wimalawarne

According to our database, Kishan Wimalawarne authored at least 13 papers between 2013 and 2024.

Collaborative distances:

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

2024

Towards Green AI: Current status and future research.

Christian Clemm, Lutz Stobbe, Kishan Wimalawarne, Jan Druschke

CoRR, 2024

2023

Learning Green's Function Efficiently Using Low-Rank Approximations.

Kishan Wimalawarne, Taiji Suzuki, Sophie Langer

CoRR, 2023

2022

Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs.

Kishan Wimalawarne, Taiji Suzuki

CoRR, 2022

Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank.

Kishan Wimalawarne, Taiji Suzuki

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Reshaped tensor nuclear norms for higher order tensor completion.

Kishan Wimalawarne, Hiroshi Mamitsuka

Mach. Learn., 2021

Adaptive and Interpretable Graph Convolution Networks Using Generalized Pagerank.

Kishan Wimalawarne, Taiji Suzuki

CoRR, 2021

2020

Scaled Coupled Norms and Coupled Higher-Order Tensor Completion.

Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka

Neural Comput., 2020

2018

Convex Coupled Matrix and Tensor Completion.

Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka

Neural Comput., 2018

Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms.

Kishan Wimalawarne, Hiroshi Mamitsuka

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Convex Factorization Machine for Toxicogenomics Prediction.

Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Theoretical and Experimental Analyses of Tensor-Based Regression and Classification.

Kishan Wimalawarne, Ryota Tomioka, Masashi Sugiyama

Neural Comput., 2016

2014

Multitask learning meets tensor factorization: task imputation via convex optimization.

Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Centrality and Composition of Four-Node Motifs in Metabolic Networks.

Mahendra Piraveenan, Kishan Wimalawarne, Dharshana Kasthurirathna

Proceedings of the International Conference on Computational Science, 2013