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ORCIDJose Javier Gonzalez Ortiz
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2020 – today
- 2024
[b1]Jose Javier Gonzalez Ortiz:
Learning Reconfigurable Vision Models. MIT, USA, 2024- [c7]Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca:
Tyche: Stochastic in-Context Learning for Medical Image Segmentation. CVPR 2024: 11159-11173 - [c6]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Magnitude Invariant Parametrizations Improve Hypernetwork Learning. ICLR 2024 - [i11]Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca:
Tyche: Stochastic In-Context Learning for Medical Image Segmentation. CoRR abs/2401.13650 (2024) - [i10]Dan Biderman, Jose Javier Gonzalez Ortiz, Jacob P. Portes, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham:
LoRA Learns Less and Forgets Less. CoRR abs/2405.09673 (2024) - [i9]Hallee E. Wong, Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance. CoRR abs/2412.15058 (2024) - 2023
- [c5]Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
UniverSeg: Universal Medical Image Segmentation. ICCV 2023: 21381-21394 - [c4]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. NeurIPS 2023 - [i8]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Amortized Learning of Dynamic Feature Scaling for Image Segmentation. CoRR abs/2304.05448 (2023) - [i7]Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
UniverSeg: Universal Medical Image Segmentation. CoRR abs/2304.06131 (2023) - [i6]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Non-Proportional Parametrizations for Stable Hypernetwork Learning. CoRR abs/2304.07645 (2023) - 2022
- [i5]Divya Shanmugam, Katie Lewis, Jose Javier Gonzalez Ortiz, Agnieszka Kurant, John V. Guttag:
At the Intersection of Deep Learning and Conceptual Art: The End of Signature. CoRR abs/2207.04312 (2022) - 2021
- [i4]Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos, Nicolas Ballas:
Trade-offs of Local SGD at Scale: An Empirical Study. CoRR abs/2110.08133 (2021) - 2020
- [c3]Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag:
What is the State of Neural Network Pruning? MLSys 2020 - [i3]Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag:
What is the State of Neural Network Pruning? CoRR abs/2003.03033 (2020)
2010 – 2019
- 2019
- [c2]Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag, Marzyeh Ghassemi:
Learning from Few Subjects with Large Amounts of Voice Monitoring Data. MLHC 2019: 704-720 - [i2]Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia:
Image segmentation of liver stage malaria infection with spatial uncertainty sampling. CoRR abs/1912.00262 (2019) - 2016
- [c1]Jose Javier Gonzalez Ortiz, Cheng Perng Phoo, Jenna Wiens:
Heart Sound Classification Based on Temporal Alignment Techniques. CinC 2016 - [i1]Jose Javier Gonzalez Ortiz, Kevin J. Compton:
A Simple Power Analysis Attack on the Twofish Key Schedule. CoRR abs/1611.07109 (2016)
Coauthor Index
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