Jose Javier Gonzalez Ortiz

According to our database, Jose Javier Gonzalez Ortiz authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning Reconfigurable Vision Models

Jose Javier Gonzalez Ortiz

PhD thesis, 2024

LoRA Learns Less and Forgets Less.

Dan Biderman, Jose Javier Gonzalez Ortiz, Jacob Portes, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham

CoRR, 2024

Magnitude Invariant Parametrizations Improve Hypernetwork Learning.

Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Non-Proportional Parametrizations for Stable Hypernetwork Learning.

Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca

CoRR, 2023

Amortized Learning of Dynamic Feature Scaling for Image Segmentation.

Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca

CoRR, 2023

Scale-Space Hypernetworks for Efficient Biomedical Image Analysis.

Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UniverSeg: Universal Medical Image Segmentation.

Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

2021

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

2020

What is the State of Neural Network Pruning?

Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag

Proceedings of the Third Conference on Machine Learning and Systems, 2020

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

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

Proceedings of the Machine Learning for Healthcare Conference, 2019

2016

A Simple Power Analysis Attack on the Twofish Key Schedule.

Jose Javier Gonzalez Ortiz, Kevin J. Compton

CoRR, 2016

Heart Sound Classification Based on Temporal Alignment Techniques.

Jose Javier Gonzalez Ortiz, Cheng Perng Phoo, Jenna Wiens

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016