2 citations · 2 across the 3 of their papers we have counts for
4 papers
Better Prompt Compression Without Multi-Layer Perceptrons
Edouardo Honig, Andrew Lizarraga, Zijun Frank Zhang +1
Prompt compression is a promising approach to speeding up language model inference without altering the generative model. Prior works compress prompts into smaller sequences of lea…
StreamNet: A WAE for White Matter Streamline Analysis
Andrew Lizarraga, Katherine L. Narr, Kirsten A. Donald +1
We present StreamNet, an autoencoder architecture for the analysis of the highly heterogeneous geometry of large collections of white matter streamlines. This proposed framework ta…
Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
Andrew Lizarraga, David Lee, Antoni Kubicki +4
We present a geometric framework for aligning white matter fiber tracts. By registering fiber tracts between brains, one expects to see overlap of anatomical structures that often…
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi
We present SrvfNet, a generative deep learning framework for the joint multiple alignment of large collections of functional data comprising square-root velocity functions (SRVF) t…