The Computational Perception Group is run by Richard Turner. Its research spans the following areas:
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28 | / | 09 | / | 21 | 3 papers accepted to NeurIPS2021: Memory Efficient Meta-Learning with Large Images, How Tight Can PAC-Bayes be in the Small Data Regime?, and Collapsed Variational Bounds for Bayesian Neural Networks | |
25 | / | 09 | / | 21 | A new journal paper accepted for publication: Convolutional conditional neural processes for local climate downscaling | |
01 | / | 10 | / | 20 | Richard Turner Promoted to Full Professor | |
26 | / | 09 | / | 20 | 5 papers accepted to NeurIPS2020: Continual Deep Learning by Functional Regularisation of Memorable Past (oral), Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes, On the Expressiveness of Approximate Inference in Bayesian Neural Networks, Efficient Low Rank Gaussian Variational Inference for Neural Networks and VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data. | |
01 | / | 09 | / | 20 | Siddharth Swaroop wins a 2020 Microsoft Research EMEA PhD Award | |
01 | / | 06 | / | 20 | 2 papers accepted to ICML2020: Scalable Exact Inference in Multi-Output Gaussian Processes, and TaskNorm: Rethinking Batch Normalization for Meta-Learning | |
06 | / | 01 | / | 20 | 1 paper accepted to AISTATS2020: Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations | |
20 | / | 12 | / | 19 | 3 papers accepted to ICLR2020: Convolutional Conditional Neural Processes (oral), Continual Learning with Adaptive Weights (CLAW) and Conservative Uncertainty Estimation By Fitting Prior Networks | |
18 | / | 10 | / | 19 | Richard Turner awarded an EPSRC Prosperity Partnership | |
03 | / | 09 | / | 19 | 3 papers accepted to NeurIPS2019: Practical Deep Learning with Bayesian Principles, Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model and Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes (spotlight oral) | |
02 | / | 09 | / | 19 | A new draft paper on Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks | |
01 | / | 09 | / | 19 | Dr. Turner becomes Director of the Machine Learning and Machine Intelligence MPhil. | |
01 | / | 03 | / | 19 | The new UKRI Centre for Doctoral Training in AI for the study of Environmental Risks (AI4ER) is announced. Dr. Turner is a co-Director. | |
23 | / | 11 | / | 16 | Gaussian Processes: From the Basics to the State-of-the-Art, Imperial's ML tutorial series [ slides | video ] | |
19 | / | 05 | / | 15 | Richard Turner awarded a Cambridge Students' Union Teaching Award for Lecturing |