Lau, Gregory Kang Ruey

10 publications

ICLRW 2025 DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks Zhiliang Chen, Gregory Kang Ruey Lau, Chuan-Sheng Foo, Bryan Kian Hsiang Low

ICLR 2025 PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low

ICLRW 2025 Uncertainty Quantification for MLLMs Gregory Kang Ruey Lau, Hieu Dao, Bryan Kian Hsiang Low

NeurIPSW 2024 Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks Gregory Kang Ruey Lau, Wenyang Hu, Liu Diwen, Chen Jizhuo, See-Kiong Ng, Bryan Kian Hsiang Low

ICMLW 2024 PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low

ICLR 2024 PINNACLE: PINN Adaptive ColLocation and Experimental Points Selection Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low

ICMLW 2024 PINNACLE: PINN Adaptive ColLocation and Experimental Points Selection Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low

ICMLW 2024 Waterfall: Framework for Robust and Scalable Text Watermarking Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low

NeurIPSW 2023 PINNACLE: PINN Adaptive ColLocation and Experimental Points Selection Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low

NeurIPS 2023 Quantum Bayesian Optimization Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet