Tim Pearce

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

TeaPearce

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

TeaPearce

IEEE CoG & NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'

TeaPearce

ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

TeaPearce

CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'

TeaPearce