Low, Bryan Kian Hsiang

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Zhou, Z., Qu, A., Wu, Z., Kim, S., Prakash, A., Rus, D., Zhao, J., Low, B. K. H., & Liang, P. P. (2025) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 218

Variational Bayesian Unlearning

Nguyen, Q. P., Low, B. K. H., & Jaillet, P. (2020) · arXiv

Privacy-Preserving Technologies in DataGaussian Processes and Bayesian Inference

Cited by 62

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

Teng, T., Chen, J., Zhang, Y., & Low, B. K. H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Gaussian Processes and Bayesian InferenceNeural Networks and Applications

Cited by 19

Prompting the Unknown: Understanding Response Uncertainty in Large Language Models

Zhang, Z. Y., Verma, A., Doshi-Velez, F., & Low, B. K. H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

MESH-Harness: Self-Improving Agent Harnesses via Bandit-Guided Compositional Evolution

Shang, Z., Huo, Y., Gong, M., Yan, A., Qu, Z., Dong, J., Low, B. K. H., Wu, C., & Dai, Z. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAdvanced Bandit Algorithms Research

Cited by 0