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10/06/2022
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
Systems neuroscience relies on two complementary views of neural data, c...
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07/17/2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
An important component for generalization in machine learning is to unco...
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07/21/2020
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
We construct an unsupervised learning model that achieves nonlinear dise...
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01/16/2020
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise
The human visual system is remarkably robust against a wide range of nat...
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05/23/2018
Robust Perception through Analysis by Synthesis
The intriguing susceptibility of deep neural networks to minimal input p...
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04/07/2017
