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06/29/2020
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations
In this paper we introduce the temporally factorized 3D convolution (3TC...
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06/11/2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Traditional backpropagation of error, though a highly successful algorit...
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03/09/2020
Spike-Timing-Dependent Inference of Synaptic Weights
A potential solution to the weight transport problem, which questions th...
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12/20/2019
Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks
Perceived personality traits attributed to an individual do not have to ...
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12/09/2019
Temporal Factorization of 3D Convolutional Kernels
3D convolutional neural networks are difficult to train because they are...
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11/15/2019
Causal inference using Bayesian non-parametric quasi-experimental design
The de facto standard for causal inference is the randomized controlled ...
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07/29/2019
Modulation of early visual processing alleviates capacity limits in solving multiple tasks
In daily life situations, we have to perform multiple tasks given a visu...
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03/31/2019
Perturbative estimation of stochastic gradients
In this paper we introduce a family of stochastic gradient estimation te...
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05/29/2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization
In this paper, we introduce a new form of amortized variational inferenc...
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05/29/2018
Wasserstein Variational Inference
This paper introduces Wasserstein variational inference, a new form of a...
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04/21/2018
First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis
Personality analysis has been widely studied in psychology, neuropsychol...
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02/02/2018
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Explainability and interpretability are two critical aspects of decision...
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05/19/2017
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
This paper introduces the kernel mixture network, a new method for nonpa...
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03/09/2017
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...
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09/16/2016
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
Here, we develop an audiovisual deep residual network for multimodal app...
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06/09/2016
Convolutional Sketch Inversion
In this paper, we use deep neural networks for inverting face sketches t...
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05/09/2016
Dynamic Decomposition of Spatiotemporal Neural Signals
Neural signals are characterized by rich temporal and spatiotemporal dyn...
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04/17/2016