Danilo Jimenez Rezende

According to our database1, Danilo Jimenez Rezende authored at least 19 papers between 2011 and 2018.

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Bibliography

2018
A Probabilistic U-Net for Segmentation of Ambiguous Images.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Conditional Neural Processes.
Proceedings of the 35th International Conference on Machine Learning, 2018

Generative Temporal Models with Spatial Memory for Partially Observed Environments.
Proceedings of the 35th International Conference on Machine Learning, 2018

Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Imagination-Augmented Agents for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Memory Addressing in Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Intrinsic Control.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Unsupervised Learning of 3D Structure from Images.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Towards Conceptual Compression.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Interaction Networks for Learning about Objects, Relations and Physics.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

One-Shot Generalization in Deep Generative Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Variational Inference for Monte Carlo Objectives.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Variational Inference with Normalizing Flows.
Proceedings of the 32nd International Conference on Machine Learning, 2015

DRAW: A Recurrent Neural Network For Image Generation.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Stochastic variational learning in recurrent spiking networks.
Front. Comput. Neurosci., 2014

Semi-supervised Learning with Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Stochastic Backpropagation and Approximate Inference in Deep Generative Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

2011
Variational Learning for Recurrent Spiking Networks.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011


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