[HTML][HTML] Spatial–Temporal Dynamic Graph Differential Equation Network for Traffic Flow Forecasting
J Zhou, X Qin, Y Ding, H Ma - Mathematics, 2023 - mdpi.com
Traffic flow forecasting is the foundation of intelligent transportation systems. Accurate traffic
forecasting is crucial for intelligent traffic management and urban development. However …
forecasting is crucial for intelligent traffic management and urban development. However …
On second order behaviour in augmented neural ODEs: A short summary
ALI Norcliffe, C Bodnar, B Day… - The Symbiosis of …, 2021 - openreview.net
In Norcliffe et al.[13], we discussed and systematically analysed how Neural ODEs (NODEs)
can learn higher-order order dynamics. In particular, we focused on second-order dynamic …
can learn higher-order order dynamics. In particular, we focused on second-order dynamic …
On Calibration of Mathematical Finance Models by Hypernetworks
Y Yang, TM Hospedales - … Machine Learning and Knowledge Discovery in …, 2023 - Springer
The process of fitting mathematical finance (MF) models for option pricing-known as
calibration-is expensive because evaluating the pricing function usually requires Monte …
calibration-is expensive because evaluating the pricing function usually requires Monte …
Meta-learning representations with relational structure
B Day - 2023 - repository.cam.ac.uk
Abstract Representation learning has emerged as a versatile tool that is able to take
advantage of the vast datasets acquired using digital technologies. The broad applicability …
advantage of the vast datasets acquired using digital technologies. The broad applicability …