Tag Archives: Bayesian Deep Learning nips workshop

Meet us at the NIPS workshops were we will be presenting the following works:

•  Sample-Efficient Imitation Learning via Generative Adversarial Nets (Lionel Blondé, Alexandros Kalousis), in the Deep RL  and in the Imitation Learning and its Challenges in Robotics workshops.
• Continual Classification Learning Using Generative Models (Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis), in the Continual Learning workshop.
• Variational Saccading: Efficient Inference for Large Resolution Images (Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis),  in the Bayesian Deep Learning workshop.

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