Tracking palaeotemperatures in Coniacian–Maastrichtian seas von Price, Gregory D., Kai Sheng, Bryan Low

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Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception von Ouyang, Ruofei, Low, Bryan Kian Hsiang

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Envisioning a decision support system for the planning of alternative fuel bunkering operations in Singapore von Low Kai Sheng, Bryan, Tkalich, Pavel, Hei Chow, Jeng, Sasmal, Kaushik

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Pruning during training by network efficacy modeling von Rajpal, Mohit, Zhang, Yehong, Low, Bryan Kian Hsiang

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Recursive reasoning-based training-time adversarial machine learning von Chen, Yizhou, Dai, Zhongxiang, Yu, Haibin, Low, Bryan Kian Hsiang, Ho, Teck-Hua

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Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation von Varakantham, Pradeep, An, Bo, Low, Bryan, Zhang, Jie

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Self-Interested Agents in Collaborative Machine Learning: An Incentivized Adaptive Data-Centric Framework von Vijayan, Nithia, Low, Bryan Kian Hsiang

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Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten von Nguyen, Quoc Phong, Oikawa, Ryutaro, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low

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Decentralized Sum-of-Nonconvex Optimization von Liu, Zhuanghua, Low, Bryan Kian Hsiang

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Understanding Domain Generalization: A Noise Robustness Perspective von Qiao, Rui, Low, Bryan Kian Hsiang

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Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks von Liu, Tiedong, Low, Bryan Kian Hsiang

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Data value estimation on private gradients von Zhou, Zijian, Xu, Xinyi, Rus, Daniela, Low, Bryan Kian Hsiang

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Paid with Models: Optimal Contract Design for Collaborative Machine Learning von Wang, Bingchen, Wu, Zhaoxuan, Liu, Fusheng, Low, Bryan Kian Hsiang

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Online Fair Division with Contextual Bandits von Verma, Arun, Saha, Indrajit, Yokoo, Makoto, Low, Bryan Kian Hsiang

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Global-to-Local Support Spectrums for Language Model Explainability von Agussurja, Lucas, Lu, Xinyang, Low, Bryan Kian Hsiang

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Robustifying and Boosting Training-Free Neural Architecture Search von He, Zhenfeng, Shu, Yao, Dai, Zhongxiang, Low, Bryan Kian Hsiang

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Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates von Liu, Zhuanghua, Luo, Luo, Low, Bryan Kian Hsiang

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Exploiting Correlated Auxiliary Feedback in Parameterized Bandits von Verma, Arun, Dai, Zhongxiang, Shu, Yao, Low, Bryan Kian Hsiang

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Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients von Shu, Yao, Lin, Xiaoqiang, Dai, Zhongxiang, Low, Bryan Kian Hsiang

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BILBO: BILevel Bayesian Optimization von Chew, Ruth Wan Theng, Nguyen, Quoc Phong, Low, Bryan Kian Hsiang

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