Kai Xu
Kai Xu
ed.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Turing: A language for flexible probabilistic inference
H Ge, K Xu, Z Ghahramani
Proceedings of Machine Learning Research, 2018
77*2018
Interpreting deep classifier by visual distillation of dark knowledge
K Xu, DH Park, C Yi, C Sutton
arXiv preprint arXiv:1803.04042, 2018
132018
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
42019
Generative Ratio Matching Networks
A Srivastava, K Xu, MU Gutmann, C Sutton
Eighth International Conference on Learning Representations, 2019
3*2019
Variational Russian Roulette for Deep Bayesian Nonparametrics
K Xu, A Srivastava, C Sutton
International Conference on Machine Learning, 6963-6972, 2019
22019
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
12020
Telescoping density-ratio estimation
B Rhodes, K Xu, MU Gutmann
Advances in Neural Information Processing Systems 33, 2020
12020
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
Telescoping Density-Ratio Estimation: Supplementary Material
B Rhodes, K Xu, MU Gutmann
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–11