Kaushalya Madhawa

According to our database, Kaushalya Madhawa authored at least 9 papers between 2018 and 2026.

Collaborative distances:

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

2026

AutoLead: An LLM-Guided Bayesian Optimization Framework for Multi-Objective Lead Optimization.

Yiming Zhang, Jun Jin Choong, Kaushalya Madhawa, Keisuke Ozawa

J. Chem. Inf. Model., 2026

2020

Active Learning for Node Classification: An Evaluation.

Kaushalya Madhawa, Tsuyoshi Murata

Entropy, 2020

MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning.

Kaushalya Madhawa, Tsuyoshi Murata

CoRR, 2020

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Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs.

Kaushalya Madhawa, Katushiko Ishiguro, Kosuke Nakago, Motoki Abe

CoRR, 2019

A multi-armed bandit approach for exploring partially observed networks.

Kaushalya Madhawa, Tsuyoshi Murata

Appl. Netw. Sci., 2019

Towards Robust Compressed Convolutional Neural Networks.

Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018

Exploring Partially Observed Networks with Nonparametric Bandits.

Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of the Complex Networks and Their Applications VII, 2018

Robustness of Compressed Convolutional Neural Networks.

Arie Wahyu Wijayanto, Jun Jin Choong, Kaushalya Madhawa, Tsuyoshi Murata

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018