3 papers
q-bio.QM2025
Karyotype AI for Precision Oncology
Zahra Shamsi, Isaac Reid, Drew Bryant +13
We present a machine learning method capable of accurately detecting chromosome abnormalities that cause blood cancers directly from microscope images of the metaphase stage of cel…
cs.LG2024
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov +7
We propose a new class of linear Transformers called FourierLearner-Transformers (FLTs), which incorporate a wide range of relative positional encoding mechanisms (RPEs). These inc…
cs.LG2024
Scalable Neural Network Kernels
Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao +2
We introduce the concept of scalable neural network kernels (SNNKs), the replacements of regular feedforward layers (FFLs), capable of approximating the latter, but with favorable…