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cs.LG2025
Towards Unsupervised Causal Representation Learning via Latent Additive Noise Model Causal Autoencoders
Hans Jarett J. Ong, Brian Godwin S. Lim, Dominic Dayta +2
Unsupervised representation learning seeks to recover latent generative factors, yet standard methods relying on statistical independence often fail to capture causal dependencies.…
cs.LG2025
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
Galvin Brice S. Lim, Brian Godwin S. Lim, Argel A. Bandala +3
Brain-computer interface (BCI) technology utilizing electroencephalography (EEG) marks a transformative innovation, empowering motor-impaired individuals to engage with their envir…
cs.LG2025
Redefining the Shortest Path Problem Formulation of the Linear Non-Gaussian Acyclic Model: Pairwise Likelihood Ratios, Prior Knowledge, and Path Enumeration
Hans Jarett J. Ong, Brian Godwin S. Lim, Renzo Roel P. Tan +1
Effective causal discovery is essential for learning the causal graph from observational data. The linear non-Gaussian acyclic model (LiNGAM) operates under the assumption of a lin…