Tim Pearce

According to our database1, Tim Pearce authored at least 16 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 


On csauthors.net:


Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection.
CoRR, 2021

Understanding Softmax Confidence and Uncertainty.
CoRR, 2021

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning.
CoRR, 2021

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing.
Int. J. Prod. Res., 2020

Structured Weight Priors for Convolutional Neural Networks.
CoRR, 2020

Universal access for object-based media experiences.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020

Uncertainty in Neural Networks: Approximately Bayesian Ensembling.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
CoRR, 2019

Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Bayesian Neural Network Ensembles.
CoRR, 2018

Uncertainty in Neural Networks: Bayesian Ensembling.
CoRR, 2018

Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning.
CoRR, 2018

Recurrent Neural Networks for real-time distributed collaborative prognostics.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach.
Proceedings of the 35th International Conference on Machine Learning, 2018

Musculoskeletal Symptoms Amongst Clinical Radiologists and the Implications of Reporting Environment Ergonomics - A Multicentre Questionnaire Study.
J. Digit. Imaging, 2014