4 papers
Robust Time Series Causal Discovery for Agent-Based Model Validation
Gene Yu, Ce Guo, Wayne Luk
Agent-Based Model (ABM) validation is crucial as it helps ensuring the reliability of simulations, and causal discovery has become a powerful tool in this context. However, current…
Scalable Time-Series Causal Discovery with Approximate Causal Ordering
Ziyang Jiao, Ce Guo, Wayne Luk
Causal discovery in time-series data presents a significant computational challenge. Standard algorithms are often prohibitively expensive for datasets with many variables or sampl…
ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors
Haoran Wu, Ce Guo, Wayne Luk +1
Bayesian Optimization (BO) has shown promise in tuning processor design parameters. However, standard BO does not support constraints involving categorical parameters such as types…
Learning spatial hearing via innate mechanisms
Yang Chu, Wayne Luk, Dan Goodman
The acoustic cues used by humans and other animals to localise sounds are subtle, and change during and after development. This means that we need to constantly relearn or recalibr…