Josue Ortega Caro

According to our database, Josue Ortega Caro authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples.

Josue Ortega Caro, Yilong Ju, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit B. Patel

Frontiers Comput. Neurosci., 2024

Linking convolutional kernel size to generalization bias in face analysis CNNs.

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Cell2Sentence: Teaching Large Language Models the Language of Biology.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BrainLM: A foundation model for brain activity recordings.

Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Robust deep learning object recognition models rely on low frequency information in natural images.

Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow

PLoS Comput. Biol., March, 2023

Towards causally linking architectural parametrizations to algorithmic bias in neural networks.

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

CoRR, 2023

Continuous Spatiotemporal Transformers.

Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk

CoRR, 2023

Continuous Spatiotemporal Transformer.

Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk

Proceedings of the International Conference on Machine Learning, 2023

2022

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics.

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel

Frontiers Artif. Intell., 2022

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks.

Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi

Frontiers Artif. Intell., 2022

AMPNet: Attention as Message Passing for Graph Neural Networks.

Syed Asad Rizvi, Nhi Nguyen, Haoran Lyu, Ben Christensen, Josue Ortega Caro, Emanuele Zappala, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk

CoRR, 2022

Neural Integral Equations.

Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega Caro, David van Dijk

CoRR, 2022

2020

Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics.

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit B. Patel

CoRR, 2020

Using Learning Dynamics to Explore the Role of Implicit Regularization in Adversarial Examples.

Josue Ortega Caro, Yilong Ju, Ryan Pyle, Ankit B. Patel

CoRR, 2020

2017

Recurrent computations for visual pattern completion.

Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David D. Cox, Gabriel Kreiman

CoRR, 2017