| Turing: A language for flexible probabilistic inference H Ge, K Xu, Z Ghahramani International Conference on Artificial Intelligence and Statistics, 1682-1690, 2018 | 92* | 2018 |
| Interpreting Deep Classifier by Visual Distillation of Dark Knowledge K Xu, DH Park, C Yi, C Sutton arXiv preprint arXiv:1803.04042, 2018 | 14 | 2018 |
| Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference CL Hurwitz, K Xu, A Srivastava, AP Buccino, M Hennig Advances in Neural Information Processing Systems 32, 4726-4738, 2019 | 5 | 2019 |
| Telescoping Density-Ratio Estimation B Rhodes, K Xu, MU Gutmann Advances in Neural Information Processing Systems 33, 2020 | 4 | 2020 |
| Variational russian roulette for deep bayesian nonparametrics K Xu, A Srivastava, C Sutton International Conference on Machine Learning, 6963-6972, 2019 | 3 | 2019 |
| AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms K Xu, H Ge, W Tebbutt, M Tarek, M Trapp, Z Ghahramani Symposium on Advances in Approximate Bayesian Inference, 1-10, 2020 | 1 | 2020 |
| Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling A Srivastava, Y Bansal, Y Ding, C Hurwitz, K Xu, B Egger, P Sattigeri, ... arXiv preprint arXiv:2010.13187, 2020 | | 2020 |
| DynamicPPL: Stan-like speed for dynamic probabilistic models M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani arXiv preprint arXiv:2002.02702, 2020 | | 2020 |
| Bijectors.jl: Flexible transformations for probability distributions TE Fjelde, K Xu, M Tarek, S Yalburgi, H Ge The Second Symposium on Advances in Approximate Bayesian Inference, 2019 | | 2019 |
| Generative Ratio Matching Networks A Srivastava, K Xu, MU Gutmann, C Sutton Eighth International Conference on Learning Representations, 2019 | | 2019 |
Hong Ge / 葛洪Research Fellow, Cambridge UniversityVerified email at cam.ac.uk
