SML@NeurIPS 2020

Conference Papers

• Jean Kaddour, Steindór Sæmundsson, Marc Deisenroth (2020). Probabilistic Active Meta-Learning. Advances in Neural Information Processing Systems (NeurIPS).
• Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Deisenroth (2020). Matérn Gaussian Processes on Riemannian Manifolds. Advances in Neural Information Processing Systems (NeurIPS).

Workshop Papers

• Daniel Lengyel, Janith Pentangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Klbeinsson, Marc Deisenroth, Nicholas R. Jennings. GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. NeurIPS Workshop “Differential Geometry meets Deep Learning”

• Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed. A case for new neural networks smoothness constraints. NeurIPS Workshop “I cannot believe it is not better”

Tutorial

• Marc Deisenroth and Cheng Soon Ong (2020). There and Back Again: A Tale of Slopes and Expectations. Tutorial at NeurIPS 2020.

Workshop

• Shirley Ho, Michael Lutter, Alexander Terenin, Lei Wang. Interpretable Inductive Biases and Physically Structured Learning. Workshop at NeurIPS 2020.

Panel

• New in ML Affinity Workshop. Panel with Hugo Larochelle, Finale Doshi-Velez, Devi Parikh, Marc Deisenroth, Julien Mairal, Katja Hofmann, Phillip Isola, and Michael Bowling