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06/14/2023
Kalman Filter for Online Classification of Non-Stationary Data
In Online Continual Learning (OCL) a learning system receives a stream o...
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04/04/2023
Incorporating Unlabelled Data into Bayesian Neural Networks
We develop a contrastive framework for learning better prior distributio...
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07/07/2022
Riemannian Diffusion Schrödinger Bridge
Score-based generative models exhibit state of the art performance on de...
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02/06/2022
Riemannian Score-Based Generative Modeling
Score-based generative models (SGMs) are a novel class of generative mod...
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10/29/2020
Attentive Clustering Processes
Amortized approaches to clustering have recently received renewed attent...
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07/16/2020
Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning
We analyse the pruning procedure behind the lottery ticket hypothesis ar...
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12/05/2019
MetaFun: Meta-Learning with Iterative Functional Updates
Few-shot supervised learning leverages experience from previous learning...
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06/15/2018
Controllable Semantic Image Inpainting
We develop a method for user-controllable semantic image inpainting: Giv...
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05/16/2018
Progress & Compress: A scalable framework for continual learning
We introduce a conceptually simple and scalable framework for continual ...
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06/08/2017
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
Automating statistical modelling is a challenging problem that has far-r...
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11/02/2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
The reparameterization trick enables optimizing large scale stochastic c...
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03/15/2012
