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07/21/2022
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior
Real-world behavior is often shaped by complex interactions between mult...
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07/23/2020
Evaluation metrics for behaviour modeling
A primary difficulty with unsupervised discovery of structure in large d...
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12/04/2019
Are skip connections necessary for biologically plausible learning rules?
Backpropagation is the workhorse of deep learning, however, several othe...
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06/07/2019
Detecting the Starting Frame of Actions in Video
To understand causal relationships between events in the world, it is us...
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06/07/2019
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data
The Importance Weighted Auto Encoder (IWAE) objective has been shown to ...
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11/03/2018
Stochastic Neighbor Embedding under f-divergences
The t-distributed Stochastic Neighbor Embedding (t-SNE) is a powerful an...
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03/02/2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Generative adversarial networks (GANs) have been extremely effective in ...
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11/02/2017
Network-size independent covering number bounds for deep networks
We give a covering number bound for deep learning networks that is indep...
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11/01/2016
Learning recurrent representations for hierarchical behavior modeling
We propose a framework for detecting action patterns from motion sequenc...
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05/11/2015
Sample complexity of learning Mahalanobis distance metrics
Metric learning seeks a transformation of the feature space that enhance...
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01/25/2010