Synthetic data for learning-based knowledge discovery
W Shiao, EE Papalexakis - ACM SIGKDD Explorations Newsletter, 2024 - dl.acm.org
Recent advances in deep learning have demonstrated the ability of learning-based methods
to tackle very hard downstream tasks. Historically, this has been demonstrated in predictive …
to tackle very hard downstream tasks. Historically, this has been demonstrated in predictive …
Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results
B Cheng, EE Papalexakis, J Chen - arXiv preprint arXiv:2312.00296, 2023 - arxiv.org
Canonical Correlation Analysis (CCA) has been widely applied to jointly embed multiple
views of data in a maximally correlated latent space. However, the alignment between …
views of data in a maximally correlated latent space. However, the alignment between …