Jose Javier Gonzalez Ortiz

According to our database1, Jose Javier Gonzalez Ortiz authored at least 12 papers between 2016 and 2024.

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Bibliography

2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation.
CoRR, 2024

2023
Non-Proportional Parametrizations for Stable Hypernetwork Learning.
CoRR, 2023

Amortized Learning of Dynamic Feature Scaling for Image Segmentation.
CoRR, 2023

Scale-Space Hypernetworks for Efficient Biomedical Image Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UniverSeg: Universal Medical Image Segmentation.
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.
CoRR, 2022

2021
Trade-offs of Local SGD at Scale: An Empirical Study.
CoRR, 2021

2020
What is the State of Neural Network Pruning?
Proceedings of Machine Learning and Systems 2020, 2020

2019
Image segmentation of liver stage malaria infection with spatial uncertainty sampling.
CoRR, 2019

Learning from Few Subjects with Large Amounts of Voice Monitoring Data.
Proceedings of the Machine Learning for Healthcare Conference, 2019

2016
A Simple Power Analysis Attack on the Twofish Key Schedule.
CoRR, 2016

Heart Sound Classification Based on Temporal Alignment Techniques.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016


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