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6 Jan 2025
SERC
Institute of Materials Research and Engineering
Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
Pablo Quijano Velasco,
Kedar Hippalgaonkar,
Balamurugan Ramalingam
Beilstein Journal of Organic Chemistry
16 Sep 2024
SERC
Institute of Materials Research and Engineering
Composition driven machine learning for unearthing high-strength lightweight multi-principal element alloys
Mengxing Li,
Xiu Kun Quek,
Hongli Suo,
Delvin Wuu,
Jing Jun Lee,
Wei Hock Teh,
Fengxia Wei,
Riko I. Made,
Dennis Cheng Cheh Tan,
Si Rong Ng,
Siyuan Wei,
Andre Kai Yuan Low,
Kedar Hippalgaonkar,
Yee-Fun Lim,
Pei Wang,
Chee Koon Ng
Journal of Alloys and Compounds
27 Jul 2024
SERC
Institute for Infocomm Research
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen,
Chuan-Sheng Foo,
Bryan Kian Hsiang Low
International Conference on Machine Learning
7 Jul 2024
SERC
Institute for Infocomm Research
Enhanced Discrete Wavelet Transform–Non-Local Means for Multimode Fiber Optic Vibration Signal
Zixuan Peng,
Kaimin Yu,
Yuanfang Zhang,
Peibin Zhu,
Wen Chen,
Jianzhong Hao
Photonics
27 Jun 2024
SERC
Institute for Infocomm Research
Odometry-Aided mmWave Communications using Overparameterized Beamforming Optimization
Gary Lee,
Ernest Kurniawan,
Yuanjin Zheng
IEEE Vehicular Technology Conference 2024 Spring
10 Jun 2024
SERC
Institute for Infocomm Research
A Sampling Strategy for High-Dimensional, Simulation-Based Transportation Optimization Problems
Timothy Tay,
Carolina Osorio
Transportation Science
13 May 2024
SERC
Institute of Materials Research & Engineering
Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs
Andre K. Y. Low,
Flore Mekki-Berrada,
Abhishek Gupta,
Aleksandr Ostudin,
Jiaxun Xie,
Eléonore Vissol-Gaudin,
Yee-Fun Lim,
Qianxiao Li,
Yew Soon Ong,
Saif A. Khan,
Kedar Hippalgaonkar
npj Computational Materials
11 May 2024
SERC
Institute for Infocomm Research
A Unified Framework for Bayesian Optimization under Contextual Uncertainty
Sebastian Shenghong Tay,
Chuan-Sheng Foo,
Daisuke Urano,
Richalynn Leong,
Bryan Kian Hsiang Low
International Conference on Learning Representations
23 Nov 2023
SERC
Institute for Infocomm Research
Visual-Policy Learning Through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks
Cihan Acar,
Kuluhan Binici,
Alp Tekirdağ,
Yan Wu
IEEE Robotics and Automation Letters
20 Aug 2023
SERC
Institute for Infocomm Research
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
Sebastian Shenghong Tay,
Quoc Phong Nguyen,
Chuan Sheng Foo,
Bryan Kian Hsiang Low
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
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