Kishan Wimalawarne

16 papers A* 2C 2Misc 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Green's function efficiently using low-rank approximations.
Mach. Learn.
Kishan Wimalawarne, Taiji Suzuki, Sophie Langer
2024 C conf
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs.
ICMLA
Kishan Wimalawarne, Taro Sawaki, Motokiyo Hirayama, Takanobu Kawahara, Taiji Suzuki
2024 J jnl
Towards Green AI: Current status and future research.
CoRR
Christian Clemm, Lutz Stobbe, Kishan Wimalawarne, Jan Druschke
2023 J jnl
Learning Green's Function Efficiently Using Low-Rank Approximations.
CoRR
Kishan Wimalawarne, Taiji Suzuki, Sophie Langer
2022 J jnl
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs.
CoRR
Kishan Wimalawarne, Taiji Suzuki
2022 C conf
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank.
ACML
Kishan Wimalawarne, Taiji Suzuki
2021 J jnl
Adaptive and Interpretable Graph Convolution Networks Using Generalized Pagerank.
CoRR
Kishan Wimalawarne, Taiji Suzuki
2021 J jnl
Reshaped tensor nuclear norms for higher order tensor completion.
Mach. Learn.
Kishan Wimalawarne, Hiroshi Mamitsuka
2020 J jnl
Scaled Coupled Norms and Coupled Higher-Order Tensor Completion.
Neural Comput.
Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
2018 J jnl
Convex Coupled Matrix and Tensor Completion.
Neural Comput.
Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
2018 A* conf
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms.
NeurIPS
Kishan Wimalawarne, Hiroshi Mamitsuka
2017 A* conf
Convex Factorization Machine for Toxicogenomics Prediction.
KDD
Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang
2016 J jnl
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification.
Neural Comput.
Kishan Wimalawarne, Ryota Tomioka, Masashi Sugiyama
2015 J jnl
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification.
CoRR
Kishan Wimalawarne, Ryota Tomioka, Masashi Sugiyama
2014 — conf
Multitask learning meets tensor factorization: task imputation via convex optimization.
NIPS
Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka
2013 Misc conf
Centrality and Composition of Four-Node Motifs in Metabolic Networks.
ICCS
Mahendra Piraveenan, Kishan Wimalawarne, Dharshana Kasthurirathna