Yu Chen
Yu Chen
University of Bristol, Imperial College London, UK Dementia Research Institution
Verified email at
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CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
V Lomonaco, L Pellegrini, P Rodriguez, M Caccia, Q She, Y Chen, ...
Artificial Intelligence 303, 103635, 2022
-IRT: A New Item Response Model and its Applications
Y Chen, TS Filho, RBC Prudêncio, T Diethe, P Flach
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
Facilitating bayesian continual learning by natural gradients and stein gradients
Y Chen, T Diethe, N Lawrence
Continual Learning Workshop in Neurips 2018, 2018
ADL™: A Topic Model for Recognition of Activities of Daily Living in a SmartHome
Y Chen, T Diethe, P Flach
Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016
Fisher efficient inference of intractable models
S Liu, T Kanamori, W Jitkrittum, Y Chen
Advances in Neural Information Processing Systems 32, 2019
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network
Z Shi, Y Chen, J Cartlidge
AAAI 2021, 2021
Tihm: An open dataset for remote healthcare monitoring in dementia
F Palermo, Y Chen, A Capstick, N Fletcher-Loyd, C Walsh, S Kouchaki, ...
Scientific data 10 (1), 606, 2023
Continual density ratio estimation in an online setting
Y Chen, S Liu, T Diethe, P Flach
arXiv preprint arXiv:2103.05276, 2021
Discriminative Representation Loss (DRL): Connecting Deep Metric Learning to Continual Learning
Y Chen, T Diethe, P Flach
arXiv preprint arXiv:2006.11234, 2020
Predicting Poor Sleep in People Living with Dementia: An Analysis of In‐Home Activities and Physiology Measurements During the Daytime
Y Chen, R Nilforooshan, P Barnaghi
Alzheimer's & Dementia 19, e074846, 2023
Interpreting Differentiable Latent States for Healthcare Time-series Data
Y Chen, N Bijlani, S Kouchaki, P Barnaghi
arXiv preprint arXiv:2311.17560, 2023
Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values
Y Chen, P Flach
International Conference on Artificial Neural Networks, 455-458, 2022
Discriminative representation loss (DRL) for continual learning: A solution for CLVision challenge
Y Chen, J Ma, HY Wan, Y Ming, J Massiah, T Diethe
SVR-based modelling for the MoReBikeS challenge: Analysis, visualisation and prediction
Y Chen, P Flach
ECML/PKDD 2015 Discovery Challenges, ECML-PKDD-DCs 2015, 2015
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