Ortiz, Jose Javier Gonzalez

8 publications

ICCV 2025 MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance Hallee E. Wong, Jose Javier Gonzalez Ortiz, John Guttag, Adrian V. Dalca

TMLR 2024 LoRA Learns Less and Forgets Less Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John Patrick Cunningham

ICLR 2024 Magnitude Invariant Parametrizations Improve Hypernetwork Learning Jose Javier Gonzalez Ortiz, John Guttag, Adrian V Dalca

CVPR 2024 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

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

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

NeurIPSW 2022 At the Intersection of Conceptual Art and Deep Learning: The End of Signature Kathleen M Lewis, Divya M Shanmugam, Jose Javier Gonzalez Ortiz, Agnieszka Kurant, John Guttag

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