3 papers
cs.LG2026
Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments
Jianyang Gao, Yutong Gou, Yuexuan Xu +5
This technical note revisits the relationship between RaBitQ and TurboQuant under a unified comparison framework. We compare the two methods in terms of methodology, theoretical gu…
physics.ao-ph2025
Calibrating Geophysical Predictions under Constrained Probabilistic Distributions
Zhewen Hou, Jiajin Sun, Subashree Venkatasubramanian +3
Machine learning (ML) has shown significant promise in studying complex geophysical dynamical systems, including turbulence and climate processes. Such systems often display sensit…
cs.LG2025
Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies
Tian Zheng, Subashree Venkatasubramanian, Shuolin Li +5
Machine learning has been increasingly applied in climate modeling on system emulation acceleration, data-driven parameter inference, forecasting, and knowledge discovery, addressi…