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06/05/2023
Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages
Behavioural experiments often happen in specialised arenas, but this may...
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02/07/2023
Structured Generative Models for Scene Understanding
This position paper argues for the use of structured generative models (...
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10/31/2022
AI Assistants: A Framework for Semi-Automated Data Wrangling
Data wrangling tasks such as obtaining and linking data from various sou...
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10/09/2022
The Elliptical Quartic Exponential Distribution: An Annular Distribution Obtained via Maximum Entropy
This paper describes the Elliptical Quartic Exponential distribution in ...
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10/08/2022
Multi-Task Dynamical Systems
Time series datasets are often composed of a variety of sequences from t...
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09/07/2022
Inference and Learning for Generative Capsule Models
Capsule networks (see e.g. Hinton et al., 2018) aim to encode knowledge ...
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03/15/2022
On Suspicious Coincidences and Pointwise Mutual Information
Barlow (1985) hypothesized that the co-occurrence of two events A and B ...
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03/09/2022
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences
Given two object images, how can we explain their differences in terms o...
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12/13/2021
Tracking and Long-Term Identification Using Non-Visual Markers
Our objective is to track and identify mice in a cluttered home-cage env...
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11/23/2021
Identifying the Units of Measurement in Tabular Data
We consider the problem of identifying the units of measurement in a dat...
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11/23/2021
ptype-cat: Inferring the Type and Values of Categorical Variables
Type inference is the task of identifying the type of values in a data c...
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07/12/2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Source-free domain adaptation (SFDA) aims to adapt a model trained on la...
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06/06/2021
On Memorization in Probabilistic Deep Generative Models
Recent advances in deep generative models have led to impressive results...
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05/12/2021
Automating Data Science: Prospects and Challenges
Given the complexity of typical data science projects and the associated...
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03/11/2021
Inference for Generative Capsule Models
Capsule networks (see e.g. Hinton et al., 2018) aim to encode knowledge ...
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07/03/2020
The Effect of Class Imbalance on Precision-Recall Curves
In this note I study how the precision of a classifier depends on the ra...
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06/09/2020
VAEs in the Presence of Missing Data
Real world datasets often contain entries with missing elements e.g. in ...
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04/27/2020
Data Engineering for Data Analytics: A Classification of the Issues, and Case Studies
Consider the situation where a data analyst wishes to carry out an analy...
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03/13/2020
An Evaluation of Change Point Detection Algorithms
Change point detection is an important part of time series analysis, as ...
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11/22/2019
ptype: Probabilistic Type Inference
Type inference refers to the task of inferring the data type of a given ...
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10/11/2019
Customizing Sequence Generation with Multi-Task Dynamical Systems
Dynamical system models (including RNNs) often lack the ability to adapt...
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07/15/2019
Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data
We focus on the problem of unsupervised cell outlier detection in mixed ...
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06/04/2019
The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas
While label fusion from multiple noisy annotations is a well understood ...
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03/21/2019
Multi-Task Time Series Analysis applied to Drug Response Modelling
Time series models such as dynamical systems are frequently fitted to a ...
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12/18/2018
Learning Direct Optimization for Scene Understanding
We introduce a Learning Direct Optimization method for the refinement of...
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06/01/2018
Inverting Supervised Representations with Autoregressive Neural Density Models
Understanding the nature of representations learned by supervised machin...
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01/11/2018
Autoencoders and Probabilistic Inference with Missing Data: An Exact Solution for The Factor Analysis Case
Latent variable models can be used to probabilistically "fill-in" missin...
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11/13/2017
Model Criticism in Latent Space
Model criticism is usually carried out by assessing if replicated data g...
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06/11/2015
Tree-Cut for Probabilistic Image Segmentation
This paper presents a new probabilistic generative model for image segme...
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08/07/2014
Renewal Strings for Cleaning Astronomical Databases
Large astronomical databases obtained from sky surveys such as the Super...
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05/29/2012