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07/27/2022
GAUDI: A Neural Architect for Immersive 3D Scene Generation
We introduce GAUDI, a generative model capable of capturing the distribu...
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12/07/2020
Perfect density models cannot guarantee anomaly detection
Thanks to the tractability of their likelihood, some deep generative mod...
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02/17/2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
In this work, we propose a new family of generative flows on an augmente...
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05/24/2019
Discrete Flows: Invertible Generative Models of Discrete Data
While normalizing flows have led to significant advances in modeling hig...
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03/18/2019
A RAD approach to deep mixture models
Flow based models such as Real NVP are an extremely powerful approach to...
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03/04/2019
VideoFlow: A Flow-Based Generative Model for Video
Generative models that can model and predict sequences of future events ...
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04/17/2018
Learning Awareness Models
We consider the setting of an agent with a fixed body interacting with a...
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10/06/2017
Learnable Explicit Density for Continuous Latent Space and Variational Inference
In this paper, we study two aspects of the variational autoencoder (VAE)...
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03/15/2017
Sharp Minima Can Generalize For Deep Nets
Despite their overwhelming capacity to overfit, deep learning architectu...
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05/27/2016
Density estimation using Real NVP
Unsupervised learning of probabilistic models is a central yet challengi...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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06/11/2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks
Stochastic binary hidden units in a multi-layer perceptron (MLP) network...
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06/03/2013
