Josue Ortega

Yale University — United States

Computer Science · Physical Sciences

7h-index377citations14works3.82yr avg
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Research Topics

Adversarial Robustness in Machine Learning(4), Model Reduction and Neural Networks(3), Integrated Circuits and Semiconductor Failure Analysis(3), Functional Brain Connectivity Studies(2), Neural Networks and Applications(2)

Publications14 total

Selective changes in cortical cholinergic signaling during learning
2025Open Access
159. Transformer-Based Foundation Model for Functional Neuroimaging
Biological Psychiatry·2025· 1 cited
Learning integral operators via neural integral equations
Nature Machine Intelligence·2024· 14 citedOpen Access
Linking convolutional kernel size to generalization bias in face analysis CNNs
2024
Cell2Sentence: Teaching Large Language Models the Language of Biology
2023· 40 citedOpen Access
BrainLM: A foundation model for brain activity recordings
2023· 36 citedOpen Access
Robust deep learning object recognition models rely on low frequency information in natural images
PLoS Computational Biology·2023· 23 citedOpen Access
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics
Frontiers in Artificial Intelligence·2022· 7 citedOpen Access
Robust deep learning object recognition models rely on low frequency information in natural images
2022· 7 citedOpen Access
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics.
arXiv (Cornell University)·2020· 6 citedOpen Access
Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples
arXiv (Cornell University)·2020· 3 citedOpen Access
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
arXiv (Cornell University)·2020· 1 citedOpen Access
A Functional Characterization of Randomly Initialized Gradient Descent in Deep ReLU Networks
2019· 2 cited
Recurrent computations for visual pattern completion
Proceedings of the National Academy of Sciences·2018· 237 citedOpen Access

Frequent Co-authors

Ankit Patel(7), David van Dijk(5), Ryan Pyle(5), Fabio Anselmi(4), Wieland Brendel(3), Justin Sahs(3), Aneel Damaraju(3), Onur Tavaslıoğlu(3), Syed Asad Rizvi(2), Insu Han(2), Antonio Henrique de Oliveira Fonseca(2), Rahul M. Dhodapkar(2), Christopher L. Averill(2), Emanuele Zappala(2), Chadi G. Abdallah(2), Evgenia Rusak(2), Matthias Bethge(2), Andreas S. Tolias(2), Xaq Pitkow(2), Jessica A. Cardin(2)