Heart Sound Classification Based on Temporal Alignment Techniques. - Jose Javier Gonzalez Ortiz; Cheng Perng Phoo; Jenna Wiens (CinC, 2016)

A Simple Power Analysis Attack on the Twofish Key Schedule. - Jose Javier Gonzalez Ortiz; Kevin J. Compton (CoRR, 2016)

Learning from Few Subjects with Large Amounts of Voice Monitoring Data. - Jose Javier Gonzalez Ortiz; Daryush D. Mehta; Jarrad H. Van Stan; Robert E. Hillman; John V. Guttag; Marzyeh Ghassemi (MLHC, 2019)

Image segmentation of liver stage malaria infection with spatial uncertainty sampling. - Ava P. Soleimany; Harini Suresh; Jose Javier Gonzalez Ortiz; Divya Shanmugam; Nil Gural; John V. Guttag; Sangeeta N. Bhatia (CoRR, 2019)

What is the State of Neural Network Pruning? - Davis W. Blalock; Jose Javier Gonzalez Ortiz; Jonathan Frankle; John V. Guttag (MLSys, 2020)

Trade-offs of Local SGD at Scale: An Empirical Study. - Jose Javier Gonzalez Ortiz; Jonathan Frankle; Mike Rabbat; Ari S. Morcos; Nicolas Ballas (CoRR, 2021)

At the Intersection of Deep Learning and Conceptual Art: The End of Signature. - Divya Shanmugam; Katie Lewis; Jose Javier Gonzalez Ortiz; Agnieszka Kurant; John V. Guttag (CoRR, 2022)

UniverSeg: Universal Medical Image Segmentation. - Victor Ion Butoi; Jose Javier Gonzalez Ortiz; Tianyu Ma; Mert R. Sabuncu; John V. Guttag; Adrian V. Dalca (ICCV, 2023)

Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (NeurIPS, 2023)

Amortized Learning of Dynamic Feature Scaling for Image Segmentation. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (CoRR, 2023)

Non-Proportional Parametrizations for Stable Hypernetwork Learning. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (CoRR, 2023)

Tyche: Stochastic in-Context Learning for Medical Image Segmentation. - Marianne Rakic; Hallee E. Wong; Jose Javier Gonzalez Ortiz; Beth A. Cimini; John V. Guttag; Adrian V. Dalca (CVPR, 2024)

Magnitude Invariant Parametrizations Improve Hypernetwork Learning. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (ICLR, 2024)

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance. - Hallee E. Wong; Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (CoRR, 2024)

LoRA Learns Less and Forgets Less. - Dan Biderman; Jacob P. Portes; Jose Javier Gonzalez Ortiz; Mansheej Paul; Philip Greengard; Connor Jennings; Daniel King; Sam Havens; Vitaliy Chiley; Jonathan Frankle; Cody Blakeney; John Patrick Cunningham (Trans. Mach. Learn. Res., 2024)

Learning Reconfigurable Vision Models - Jose Javier Gonzalez Ortiz (2024)