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Poster
Wed 17:00 ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
Cagatay Yildiz · Markus Heinonen · Harri Lahdesmaki
Poster
Wed 10:45 Precision-Recall Balanced Topic Modelling
Seppo Virtanen · Mark Girolami
Poster
Tue 17:30 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
Yusuke Tanaka · Toshiyuki Tanaka · Tomoharu Iwata · Takeshi Kurashima · Maya Okawa · Yasunori Akagi · Hiroyuki Toda
Poster
Tue 17:30 Triad Constraints for Learning Causal Structure of Latent Variables
Ruichu Cai · Feng Xie · Clark Glymour · Zhifeng Hao · Kun Zhang
Poster
Tue 10:45 Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai · Zihang Dai · Yiming Yang · Shinjae Yoo
Poster
Wed 17:00 Tensor Monte Carlo: Particle Methods for the GPU era
Laurence Aitchison
Poster
Wed 17:00 Amortized Bethe Free Energy Minimization for Learning MRFs
Sam Wiseman · Yoon Kim
Poster
Tue 17:30 Poisson-Randomized Gamma Dynamical Systems
Aaron Schein · Scott Linderman · Mingyuan Zhou · David Blei · Hanna Wallach
Poster
Wed 10:45 Bayesian Learning of Sum-Product Networks
Martin Trapp · Robert Peharz · Hong Ge · Franz Pernkopf · Zoubin Ghahramani
Poster
Tue 17:30 Learning Hierarchical Priors in VAEs
Alexej Klushyn · Nutan Chen · Richard Kurle · Botond Cseke · Patrick van der Smagt
Poster
Wed 10:45 Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas · George Tucker · Roger Grosse · Mohammad Norouzi
Poster
Wed 17:00 Scalable Deep Generative Relational Model with High-Order Node Dependence
Xuhui Fan · Bin Li · Caoyuan Li · Scott SIsson · Ling Chen