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02/15/2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Multi-agent football poses an unsolved challenge in AI research. Existin...
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01/25/2023
Imitating Human Behaviour with Diffusion Models
Diffusion models have emerged as powerful generative models in the text-...
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05/26/2022
Censored Quantile Regression Neural Networks
This paper considers doing quantile regression on censored data using ne...
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07/28/2021
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection
After an autoencoder (AE) has learnt to reconstruct one dataset, it migh...
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06/09/2021
Understanding Softmax Confidence and Uncertainty
It is often remarked that neural networks fail to increase their uncerta...
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04/09/2021
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
This paper describes an AI agent that plays the popular first-person-sho...
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02/20/2020
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Analysing and computing with Gaussian processes arising from infinitely ...
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05/15/2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
A simple, flexible approach to creating expressive priors in Gaussian pr...
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11/27/2018
Bayesian Neural Network Ensembles
Ensembles of neural networks (NNs) have long been used to estimate predi...
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10/12/2018
Uncertainty in Neural Networks: Bayesian Ensembling
Understanding the uncertainty of a neural network's (NN) predictions is ...
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05/29/2018
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning
The use of ensembles of neural networks (NNs) for the quantification of ...
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02/20/2018