Research output per year
Research output per year
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Dive into the research topics where Yu Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network
Shi, Z., Chen, Y. & Cartlidge, J. P., 18 May 2021, Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press, Vol. 35(1). p. 548-556Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open Access5 Citations (Scopus) -
Discriminative Representation Loss (DRL): A More Efficient Approach Than Gradient Re-projection in continual learning
Chen, Y., Diethe, T. & Flach, P., 19 Jun 2020, (Unpublished) In: arXiv. 15 p.Research output: Contribution to journal › Article (Academic Journal)
File30 Downloads (Pure) -
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
Chen, Y., Diethe, T. & Lawrence, N., 24 Apr 2019. 8 p.Research output: Contribution to conference › Conference Paper
Open AccessFile45 Downloads (Pure)
Thesis
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Efficient Continual Learning: Approaches and Measures
Author: Chen, Y., 28 Sept 2021Supervisor: Flach, P. (Supervisor) & Diethe, T. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
File