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08/24/2023
FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease
Through our respiratory system, many viruses and diseases frequently spr...
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08/15/2023
Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem
In many real world settings binary classification decisions are made bas...
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07/24/2023
An Adaptive Algorithm for Rough Differential Equations
We present an adaptive algorithm for effectively solving rough different...
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05/30/2023
Rectifiable paths with polynomial log-signature are straight lines
The signature of a rectifiable path is a tensor series in the tensor alg...
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05/26/2023
Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection
This study presents our team PathToMyHeart's contribution to the George ...
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04/04/2023
The insertion method to invert the signature of a path
The signature is a representation of a path as an infinite sequence of i...
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02/22/2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
This paper focuses on representation learning for dynamic graphs with te...
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02/09/2023
New directions in the applications of rough path theory
This article provides a concise overview of some of the recent advances ...
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01/30/2023
Benchmarking optimality of time series classification methods in distinguishing diffusions
Performance benchmarking is a crucial component of time series classific...
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01/23/2023
Sampling-based Nyström Approximation and Kernel Quadrature
We analyze the Nyström approximation of a positive definite kernel assoc...
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10/11/2022
Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures
Given a probability measure μ on a set 𝒳 and a vector-valued function φ,...
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06/29/2022
Signature Methods in Machine Learning
Signature-based techniques give mathematical insight into the interactio...
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05/16/2022
Generalised Recombination Interpolation Method (GRIM)
In this paper we develop the Generalised Recombination Interpolation Met...
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05/13/2022
ImageSig: A signature transform for ultra-lightweight image recognition
This paper introduces a new lightweight method for image recognition. Im...
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10/25/2021
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
This paper contributes to the challenge of skeleton-based human action r...
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09/08/2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Stochastic processes are random variables with values in some space of p...
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07/20/2021
Positively Weighted Kernel Quadrature via Subsampling
We study kernel quadrature rules with positive weights for probability m...
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06/21/2021
Neural Controlled Differential Equations for Online Prediction Tasks
Neural controlled differential equations (Neural CDEs) are a continuous-...
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05/27/2021
Efficient and Accurate Gradients for Neural SDEs
Neural SDEs combine many of the best qualities of both RNNs and SDEs, an...
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05/10/2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
Making predictions and quantifying their uncertainty when the input data...
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02/18/2021
Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder
Bipolar disorder (BD) and borderline personality disorder (BPD) are two ...
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02/16/2021
SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel
The development of machine learning algorithms in the cyber security dom...
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02/06/2021
Neural SDEs as Infinite-Dimensional GANs
Stochastic differential equations (SDEs) are a staple of mathematical mo...
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01/12/2021
Estimating the probability that a given vector is in the convex hull of a random sample
For a d-dimensional random vector X, let p_n, X be the probability that ...
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01/10/2021
The shifted ODE method for underdamped Langevin MCMC
In this paper, we consider the underdamped Langevin diffusion (ULD) and ...
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10/10/2020
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder
Relying on large pretrained language models such as Bidirectional Encode...
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09/20/2020
"Hey, that's not an ODE": Faster ODE Adjoints with 12 Lines of Code
Neural differential equations may be trained by backpropagating gradient...
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09/17/2020
Neural CDEs for Long Time Series via the Log-ODE Method
Neural Controlled Differential Equations (Neural CDEs) are the continuou...
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08/08/2020
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
Bipolar disorder (BD) and borderline personality disorder (BPD) are both...
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06/26/2020
Computing the full signature kernel as the solution of a Goursat problem
Recently there has been an increased interested in the development of ke...
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06/05/2020
Anomaly detection on streamed data
We introduce powerful but simple methodology for identifying anomalous o...
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06/01/2020
A Generalised Signature Method for Time Series
The `signature method' refers to a collection of feature extraction tech...
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05/28/2020
Generalised Interpretable Shapelets for Irregular Time Series
The shapelet transform is a form of feature extraction for time series, ...
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05/18/2020
Neural Controlled Differential Equations for Irregular Time Series
Neural ordinary differential equations are an attractive option for mode...
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01/03/2020
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
Signatory is a library for calculating signature and logsignature transf...
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08/22/2019
Learning stochastic differential equations using RNN with log signature features
This paper contributes to the challenge of learning a function on stream...
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07/19/2019
Insertion algorithm for inverting the signature of a path
In this article we introduce the insertion method for reconstructing the...
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05/21/2019
Universal Approximation with Deep Narrow Networks
The classical Universal Approximation Theorem certifies that the univers...
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05/21/2019
Deep Signatures
The signature is an infinite graded sequence of statistics known to char...
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08/09/2018
Random forest prediction of Alzheimer's disease using pairwise selection from time series data
Time-dependent data collected in studies of Alzheimer's disease usually ...
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05/10/2018
Labelling as an unsupervised learning problem
Unravelling hidden patterns in datasets is a classical problem with many...
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08/31/2017
Sketching the order of events
We introduce features for massive data streams. These stream features ca...
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08/03/2017
Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model
Recurrent major mood episodes and subsyndromal mood instability cause su...
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07/22/2017
A signature-based machine learning model for bipolar disorder and borderline personality disorder
Mobile technologies offer opportunities for higher resolution monitoring...
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07/13/2017
Leveraging the Path Signature for Skeleton-based Human Action Recognition
Human action recognition in videos is one of the most challenging tasks ...
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10/09/2016