Publications
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Zappala, E., Fonseca, A., Caro, J. O. & van Dijk, D. (2022). Neural Integral Equations.arXiv preprint arXiv:2209.15190
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Karantzas, N., Besier, E., Caro, J. O., Pitkow, X., Tolias, A. S., Patel, A. B., & Anselmi, F. (2022). Understanding robustness and generalization of artificial neural networks through Fourier masks. Frontiers in Artificial Intelligence, 2022.
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Li, Zhe *, Caro, J. O. *, Rusak E, Brendel W, Bethge M, Anselmi F, Patel A. B., Tolias A., Pitkow X. (2022) Robust deep learning object recognition models rely on low frequency information in natural images, biorxiv preprint * Co-first Authors
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Caro, J. O., Ju, Y., Pyle, R., Dey S., Brendel W., Anselmi F. & Patel, A. (2020). Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples, arXiv preprint arXiv:2006.11440.
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Sahs, J., Pyle, R., Damaraju, A., Caro, J. O., Tavaslioglu, O., Lu, H. Y., & Patel, A. (2019). Shallow univariate relu networks as splines: initialization, loss surface, hessian, & gradient flow dynamics, Frontiers in Artificial Intelligence, 2022
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Sahs, J., Damaraju, A., Pyle, R., Tavaslioglu, O., Caro, J. O., Lu, H. Y., & Patel, A. (2019). A Functional Characterization of Randomly Initialized Gradient Descent in Deep ReLU Networks.
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Tang, H., Schrimpf, M., Lotter, W., Moerman, C., Paredes, A., Caro, J. O., … & Kreiman, G. (2018). Recurrent computations for visual pattern completion. Proceedings of the National Academy of Sciences, 2017, 19397.