Vien, Ngo Anh

9 publications

ECCV 2022 FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

CVPR 2022 What Matters for Meta-Learning Vision Regression Tasks? Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann

ECML-PKDD 2020 Graph-Based Motion Planning Networks Tai Hoang, Ngo Anh Vien

AAAI 2018 Bayesian Functional Optimization Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint

ECML-PKDD 2018 Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features Minh-Nghia Nguyen, Ngo Anh Vien

ACML 2017 A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung

IJCAI 2016 Policy Search in Reproducing Kernel Hilbert Space Ngo Anh Vien, Peter Englert, Marc Toussaint

AAAI 2015 Hierarchical Monte-Carlo Planning Ngo Anh Vien, Marc Toussaint

IJCAI 2013 Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback Hung Quoc Ngo, Matthew David Luciw, Ngo Anh Vien, Jürgen Schmidhuber