Search Results - "Linander, H."

Finite-Time Lyapunov Exponents of Deep Neural Networks by Storm, L, Linander, H, Bec, J, Gustavsson, K, Mehlig, B

“…We compute how small input perturbations affect the output of deep neural networks, exploring an analogy between deep feed-forward networks and dynamical…”
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Familial intestinal degenerative neuropathy associated with chronic intestinal pseudo‐obstruction by Ahlfors, F., Linander, H., Lindström, M., Veress, B., Abrahamsson, H.

“…Background  Few families with autosomal dominant forms of chronic idiopathic pseudo‐obstruction (CIP) have been identified and reported. Methods  We compared…”
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Pharmacokinetics of budesonide controlled ileal release capsules in children and adults with active Crohn's disease by Lundin, P. D. P., Edsbäcker, S., Bergstrand, M., Ejderhamn, J., Linander, H., Högberg, L., Persson, T., Escher, J. C., Lindquist, B.

“…Summary Background : Systemic glucocorticosteroid therapy is effective in Crohn's disease, but is associated with side‐effects. Budesonide has high topical…”
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Familial intestinal degenerative neuropathy with chronic intestinal pseudo-obstruction linked to a gene locus with duplication in chromosome 9 by Abrahamsson, Hasse, Ahlfors, Frida, Fransson, Susanne, Nilsson, Staffan, Linander, Hans, Martinsson, Tommy

“…Background: Intestinal degenerative neuropathy without extra-intestinal involvement occurs as familial forms (FIDN) but the genetics behind is unknown. We…”
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Familial intestinal degenerative neuropathy associated with chronic intestinal pseudo-obstruction: CIP and intestinal degenerative neuropathy by Ahlfors, F., Linander, H., Lindström, M., Veress, B., Abrahamsson, H.

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Looking at the posterior: accuracy and uncertainty of neural-network predictions by Linander, H, Balabanov, O, Yang, H, Mehlig, B

“…Machine Learning: Science and Technology 4 (2023) 045032 Bayesian inference can quantify uncertainty in the predictions of neural networks using posterior…”
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Finite-time Lyapunov exponents of deep neural networks by Storm, L, Linander, H, Bec, J, Gustavsson, K, Mehlig, B

“…We compute how small input perturbations affect the output of deep neural networks, exploring an analogy between deep networks and dynamical systems, where the…”
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