Josue Ortega Caro

17 papers A* 3A 1Journal 13
YearRankTypeTitle / Venue / Authors
2024 A* conf
BrainLM: A foundation model for brain activity recordings.
ICLR
Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James L. Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk
2024 A* conf
Cell2Sentence: Teaching Large Language Models the Language of Biology.
ICML
Daniel LeVine, Syed Asad Rizvi, Sacha Lévy, Nazreen Pallikkavaliyaveetil, David Zhang, Xingyu Chen, Sina Ghadermarzi, Ruiming Wu, Zihe Zheng, Ivan Vrkic, Anna Zhong, Daphne Raskin, Insu Han, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, Amin Karbasi, Rahul Madhav Dhodapkar, David van Dijk
2024 J jnl
Learning integral operators via neural integral equations.
Nat. Mac. Intell.
Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, Andrew Henry Moberly, Michael James Higley, Jessica A. Cardin, David van Dijk
2024 A conf
Linking convolutional kernel size to generalization bias in face analysis CNNs.
WACV
Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
2024 J jnl
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples.
Frontiers Comput. Neurosci.
Josue Ortega Caro, Yilong Ju, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit B. Patel
2023 A* conf
Continuous Spatiotemporal Transformer.
ICML
Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk
2023 J jnl
Continuous Spatiotemporal Transformers.
CoRR
Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk
2023 J jnl
Robust deep learning object recognition models rely on low frequency information in natural images.
PLoS Comput. Biol.
Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
2023 J jnl
Towards causally linking architectural parametrizations to algorithmic bias in neural networks.
CoRR
Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan
2022 J jnl
AMPNet: Attention as Message Passing for Graph Neural Networks.
CoRR
Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk
2022 J jnl
Neural Integral Equations.
CoRR
Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, David van Dijk
2022 J jnl
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics.
Frontiers Artif. Intell.
Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel
2022 J jnl
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.
Frontiers Artif. Intell.
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2022 J jnl
Understanding robustness and generalization of artificial neural networks through Fourier masks.
CoRR
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi
2020 J jnl
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics.
CoRR
Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit B. Patel
2020 J jnl
Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples.
CoRR
Josue Ortega Caro, Yilong Ju, Ryan Pyle, Ankit B. Patel
2017 J jnl
Recurrent computations for visual pattern completion.
CoRR
Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David D. Cox, Gabriel Kreiman