2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Data-Scarce, Multi-Granular, Multimodal: Benchmark Design for Biosynthetic Gene Clusters
Hanlin Xiao, Eriko Takano, Mauricio A. Álvarez +1
Biosynthetic gene clusters (BGCs) are co-located genes that encode the biosynthesis of specialized metabolites, an important source of antibiotics, anticancer agents, immunosuppres…
Transformed Latent Variable Multi-Output Gaussian Processes
Xiaoyu Jiang, Xinxing Shi, Sokratia Georgaka +2
Multi-Output Gaussian Processes (MOGPs) provide a principled probabilistic framework for modelling correlated outputs but face scalability bottlenecks when applied to datasets with…
Cross-Granularity Representations for Biological Sequences: Insights from ESM and BiGCARP
Hanlin Xiao, Rainer Breitling, Eriko Takano +1
Recent advances in general-purpose foundation models have stimulated the development of large biological sequence models. While natural language shows symbolic granularity (charact…
Disentangling Similarity and Relatedness in Topic Models
Hanlin Xiao, Yang Wang, Mauricio A. Álvarez +1
The recent success of large pre-trained language models (PLMs) has motivated their integration into topic modeling. However, PLM-augmented topic models differ from classical co-occ…