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Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference
Particle-based variational inference offers a flexible way of approximat...
11/07/2018 ∙ by Luca Ambrogioni, et al. ∙
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Forward Amortized Inference for Likelihood-Free Variational Marginalization
In this paper, we introduce a new form of amortized variational inferenc...
05/29/2018 ∙ by Luca Ambrogioni, et al. ∙
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Wasserstein Variational Inference
This paper introduces Wasserstein variational inference, a new form of a...
05/29/2018 ∙ by Luca Ambrogioni, et al. ∙
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First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis
Personality analysis has been widely studied in psychology, neuropsychol...
04/21/2018 ∙ by Julio C. S. Jacques Junior, et al. ∙
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Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Explainability and interpretability are two critical aspects of decision...
02/02/2018 ∙ by Hugo Jair Escalante, et al. ∙
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Deep adversarial neural decoding
Here, we present a novel approach to solve the problem of reconstructing...
05/19/2017 ∙ by Yağmur Güçlütürk, et al. ∙
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End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Recent years have seen a sharp increase in the number of related yet dis...
03/09/2017 ∙ by Umut Güçlü, et al. ∙
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Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
Here, we develop an audiovisual deep residual network for multimodal app...
09/16/2016 ∙ by Yağmur Güçlütürk, et al. ∙
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Convolutional Sketch Inversion
In this paper, we use deep neural networks for inverting face sketches t...
06/09/2016 ∙ by Yağmur Güçlütürk, et al. ∙
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