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09/02/2022
A taxonomy of surprise definitions
Surprising events trigger measurable brain activity and influence human ...
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08/19/2022
Kernel Memory Networks: A Unifying Framework for Memory Modeling
We consider the problem of training a neural network to store a set of p...
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02/12/2022
Neural NID Rules
Abstract object properties and their relations are deeply rooted in huma...
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06/18/2021
Fitting summary statistics of neural data with a differentiable spiking network simulator
Fitting network models to neural activity is becoming an important tool ...
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05/25/2021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
We study how permutation symmetries in overparameterized multi-layer neu...
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07/05/2019
An Approximate Bayesian Approach to Surprise-Based Learning
Surprise-based learning allows agents to adapt quickly in non-stationary...
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07/05/2019
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape
The permutation symmetry of neurons in each layer of a deep neural netwo...
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02/27/2019
Biologically plausible deep learning -- but how far can we go with shallow networks?
Training deep neural networks with the error backpropagation algorithm i...
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12/21/2018
GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
Gaussian processes are a class of flexible nonparametric Bayesian tools ...
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12/17/2018
Learning to Generate Music with BachProp
As deep learning advances, algorithms of music composition increase in p...
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02/12/2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
Modern reinforcement learning algorithms reach super-human performance i...
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11/20/2017
Is prioritized sweeping the better episodic control?
Episodic control has been proposed as a third approach to reinforcement ...
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12/09/2016
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity
In machine learning, error back-propagation in multi-layer neural networ...
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06/23/2016