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Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
OpenCPU system for embedded scientific computation and reproducible research
Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered qua…
Software to accompany P. Fryzlewicz (2020) "Narrowest Significance Pursuit: inference for multiple change-points in linear models".
Short course Nonparametric Analysis: A Primer