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)

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)

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)

Neural Integral Equations. - Emanuele Zappala; Antonio Henrique de Oliveira Fonseca; Josue Ortega Caro; David van Dijk (CoRR, 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)

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)

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)

Continuous Spatiotemporal Transformer. - Antonio Henrique de Oliveira Fonseca; Emanuele Zappala; Josue Ortega Caro; David van Dijk (ICML, 2023)

Continuous Spatiotemporal Transformers. - Antonio Henrique de Oliveira Fonseca; Emanuele Zappala; Josue Ortega Caro; David van Dijk (CoRR, 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)

Robust deep learning object recognition models rely on low frequency information in natural images. - Zhe Li 002; Josue Ortega Caro; Evgenia Rusak; Wieland Brendel; Matthias Bethge; Fabio Anselmi; Ankit B. Patel; Andreas S. Tolias; Xaq Pitkow (PLoS Comput. Biol., 2023)

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 L. Cross; Prateek Mittal; Emanuele Zappala; Rahul Madhav Dhodapkar; Chadi Abdallah; David van Dijk (ICLR, 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; et al. (ICML, 2024)

Linking convolutional kernel size to generalization bias in face analysis CNNs. - Hao Liang; Josue Ortega Caro; Vikram Maheshri; Ankit B. Patel; Guha Balakrishnan (WACV, 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)

Learning integral operators via neural integral equations. - Emanuele Zappala; Antonio Henrique de Oliveira Fonseca; Josue Ortega Caro; Andrew Henry Moberly; Michael James Higley; Jessica A. Cardin; David van Dijk (Nat. Mac. Intell., 2024)