Jose Javier Gonzalez Ortiz

23 papers A* 4Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlashOptim: Optimizers for Memory Efficient Training. CoRR Jose Javier Gonzalez Ortiz, Abhay Gupta, Chris Renard, Davis W. Blalock
2026	J	`jnl`	KARL: Knowledge Agents via Reinforcement Learning. CoRR Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle
2025	J	`jnl`	A State-of-the-Art SQL Reasoning Model using RLVR. CoRR Alnur Ali, Ashutosh Baheti, Jonathan Chang, Ta-Chung Chi, Brandon Cui, Andrew Drozdov, Jonathan Frankle, Abhay Gupta, Pallavi Koppol, Sean Kulinski, Jonathan Li, Dipendra Misra, Krista Opsahl-Ong, Jose Javier Gonzalez Ortiz, Matei Zaharia, Yue Zhang
2024	—	`—`	Learning Reconfigurable Vision Models Jose Javier Gonzalez Ortiz
2024	J	`jnl`	LoRA Learns Less and Forgets Less. CoRR 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
2024	J	`jnl`	LoRA Learns Less and Forgets Less. Trans. Mach. Learn. Res. 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
2024	A*	`conf`	Magnitude Invariant Parametrizations Improve Hypernetwork Learning. ICLR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance. CoRR Hallee E. Wong, Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	Tyche: Stochastic In-Context Learning for Medical Image Segmentation. CoRR Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca
2024	A*	`conf`	Tyche: Stochastic in-Context Learning for Medical Image Segmentation. CVPR Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	Amortized Learning of Dynamic Feature Scaling for Image Segmentation. CoRR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	Non-Proportional Parametrizations for Stable Hypernetwork Learning. CoRR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	A*	`conf`	Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. NeurIPS Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	A*	`conf`	UniverSeg: Universal Medical Image Segmentation. ICCV Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	UniverSeg: Universal Medical Image Segmentation. CoRR Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2022	J	`jnl`	At the Intersection of Deep Learning and Conceptual Art: The End of Signature. CoRR Divya Shanmugam, Katie Lewis, Jose Javier Gonzalez Ortiz, Agnieszka Kurant, John V. Guttag
2021	J	`jnl`	Trade-offs of Local SGD at Scale: An Empirical Study. CoRR Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos, Nicolas Ballas
2020	—	`conf`	What is the State of Neural Network Pruning? MLSys Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag
2020	J	`jnl`	What is the State of Neural Network Pruning? CoRR Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag
2019	J	`jnl`	Image segmentation of liver stage malaria infection with spatial uncertainty sampling. CoRR Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia
2019	—	`conf`	Learning from Few Subjects with Large Amounts of Voice Monitoring Data. MLHC Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag, Marzyeh Ghassemi
2016	J	`jnl`	A Simple Power Analysis Attack on the Twofish Key Schedule. CoRR Jose Javier Gonzalez Ortiz, Kevin J. Compton
2016	—	`conf`	Heart Sound Classification Based on Temporal Alignment Techniques. CinC Jose Javier Gonzalez Ortiz, Cheng Perng Phoo, Jenna Wiens