Huang, Daniel

7 publications

TMLR 2026 Scaling Gaussian Process Regression with Full Derivative Observations Daniel Huang

TMLR 2025 High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation Chris L Camaño, Daniel Huang

AAAI 2024 ExpeL: LLM Agents Are Experiential Learners Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang

NeurIPS 2022 Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang

ICLR 2019 GamePad: A Learning Environment for Theorem Proving Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever

NeurIPS 2014 Augur: Data-Parallel Probabilistic Modeling Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam C Pocock, Stephen Green, Guy L Steele

ICCV 2011 Segmentation Fusion for Connectomics Amelio Vázquez Reina, Michael Gelbart, Daniel Huang, Jeff Lichtman, Eric L. Miller, Hanspeter Pfister