1 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
ProtoSSL: Interpretable Prototype Learning from Unlabeled Time-Series Data
Steven Song, Sahil Sethi, Brett Beaulieu-Jones +1
In time-series domains where both predictive performance and interpretability are essential, deep neural networks achieve strong results but provide limited insight into how their…
Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
Anirudh Subramanyam, Yuxin Chen, Robert L. Grossman
Scaling laws for language model training traditionally characterize how performance scales with model size and dataset volume. Prior work has explored architecture variants and dat…
Multimodal Cancer Modeling in the Age of Foundation Model Embeddings
Steven Song, Morgan Borjigin-Wang, Irene Madejski +1
The Cancer Genome Atlas (TCGA) has enabled novel discoveries and served as a large-scale reference dataset in cancer through its harmonized genomics, clinical, and imaging data. Nu…