Four papers accepted at NeurISP workshops

Congratulation to Riccardo, Janith, Samuel and Steindór, whose papers got accepted at workshops at NeurIPS 2019.

R. Moriconi, M. P. Deisenroth, K. S. Sesh Kumar: High-dimensional Bayesian Optimization Using Low-Dimensional Feature Spaces Bayesian Deep Learning Workshop at NeurIPS, 2019

J. C. Petangoda, S. Pascoal-Diaz, V. Adam, P. Vrancx, J. Grau-Moya Disentangled Skill Embeddings for Reinforcement Learning Workshop on Learning Transferable Skills at NeurIPS, 2019

S. Sæmundsson, K. Hofmann, M. P. Deisenroth: Variational Integrator Networks Bayesian Deep Learning Workshop at NeurIPS, 2019

S. Cohen, D. Sejdinovic: On the Gromov-Wasserstein Distance and Coupled Deep Generative Models Optimal Transport in Machine Learning Workshop at NeurIPS, 2019

Marc Deisenroth
Marc Deisenroth
Google DeepMind Chair of Machine Learning and Artificial Intelligence