collaborators

5 papers

cs.LG2026

Tree-Structured Orthonormal Decomposition of the Aitchison Simplex

Daisuke Yamada, Qijun Zhang, Travis Pence +3

Compositional data -- vectors encoding relative proportions -- arise across scientific domains, including ecology, geochemistry, and genomics. The features in these data often come…

cs.LG2026

Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memories

Travis Pence, Daisuke Yamada, Vikas Singh

Tensor Product Representations provide the structural fidelity required for symbolic reasoning in models but suffer from exponential dimensionality growth when encoding deep recurs…

cs.LG2026

Composing Linear Layers from Irreducibles

Travis Pence, Daisuke Yamada, Vikas Singh

Contemporary large models often exhibit behaviors suggesting the presence of low-level primitives that compose into modules with richer functionality, but these fundamental buildin…

eess.IV2025

A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs

Niccolò McConnell, Pardeep Vasudev, Daisuke Yamada +13

Low-dose computed tomography (LDCT) imaging employed in lung cancer screening (LCS) programs is increasing in uptake worldwide. LCS programs herald a generational opportunity to si…

cs.LG2025

ASAT: Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection

Daisuke Yamada, Harit Vishwakarma, Ramya Korlakai Vinayak

Machine Learning (ML) models are trained on in-distribution (ID) data but often encounter out-of-distribution (OOD) inputs during deployment---posing serious risks in safety-critic…