Leo Huang

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Gaussian Process

Top Venues

Publications

Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel
Bayesian Transformed Gaussian Processes. Trans. Mach. Learn. Res. 2023 (2023)
Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel
Scalable Bayesian Transformed Gaussian Processes. CoRR (2022)
Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel
Scaling Gaussian Processes with Derivative Information Using Variational Inference. CoRR (2021)
Leo Huang, Andrew J. Graven, David Bindel
Density of States Graph Kernels. SDM (2021)
Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel
Scaling Gaussian Processes with Derivative Information Using Variational Inference. NeurIPS (2021)
Chao Lu, Yi Zhao, Jian Bao, Shr-Lung Chen, Jun Liu, Chin-Ming Chien, Leo Huang, Dingding Zhang, Yong Zhou, Jianqiu Chen, Jinqiang Zhao, Pengfei Yue, Yining Li
A Highly Efficient Combo Transceiver for 802.11b/g/n/ax and BT/BLE in 22nm CMOS. ESSCIRC (2021)
Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
Neural Manifold Ordinary Differential Equations. CoRR (2020)
Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
Neural Manifold Ordinary Differential Equations. NeurIPS (2020)
Leo Huang, Andrew Graven, David Bindel
Density of States Graph Kernels. CoRR (2020)