Kai Xu / 徐锴
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Turing: A language for flexible probabilistic inference
H Ge, K Xu, Z Ghahramani
International conference on artificial intelligence and statistics, 1682-1690, 2018
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
K Xu, DH Park, C Yi, C Sutton
arXiv preprint arXiv:1803.04042, 2018
Telescoping Density-Ratio Estimation
B Rhodes, K Xu, MU Gutmann
Advances in Neural Information Processing Systems 33, 2020
Generative Ratio Matching Networks
A Srivastava, K Xu, MU Gutmann, C Sutton
Eighth International Conference on Learning Representations, 2019
Variational Russian Roulette for Deep Bayesian Nonparametrics
K Xu, A Srivastava, C Sutton
International Conference on Machine Learning, 6963-6972, 2019
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
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
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
DynamicPPL: Stan-like speed for dynamic probabilistic models
M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani
arXiv preprint arXiv:2002.02702, 2020
Couplings for Multinomial Hamiltonian Monte Carlo
K Xu, TE Fjelde, C Sutton, H Ge
International Conference on Artificial Intelligence and Statistics, 2021
A Bayesian-Symbolic Approach to Learning and Reasoning for Intuitive Physics
K Xu, A Srivastava, D Gutfreund, F Sosa, T Ullman, JB Tenenbaum, ...
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
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