Deep learning for real-time single-pixel video von Higham, Catherine F., Murray-Smith, Roderick, Padgett, Miles J., Edgar, Matthew P.

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Quantum deep learning by sampling neural nets with a quantum annealer von Higham, Catherine F., Bedford, Adrian

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Deep learning optimized single-pixel LiDAR von Radwell, Neal, Johnson, Steven D., Edgar, Matthew P., Higham, Catherine F., Murray-Smith, Roderick, Padgett, Miles J.

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Somatic instability of the expanded CTG triplet repeat in myotonic dystrophy type 1 is a heritable quantitative trait and modifier of disease severity von MORALES, Fernando, COUTO, Jillian M, SITTENFELD, Mauricio, ASHIZAWA, Tetsuo, WILCOX, Alison, WILCOX, Douglas E, MONCKTON, Darren G, HIGHAM, Catherine F, HOGG, Grant, CUENCA, Patricia, BRAIDA, Claudia, WILSON, Richard H, ADAM, Berit, VALLE, Gerardo Del, BRIAN, Roberto

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High levels of somatic DNA diversity at the myotonic dystrophy type 1 locus are driven by ultra-frequent expansion and contraction mutations von HIGHAM, Catherine F, MORALES, Fernando, COBBOLD, Christina A, HAYDON, Daniel T, MONCKTON, Darren G

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Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability von Cohen, Clara, Higham, Catherine F, Nabi, Syed Waqar

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Neural network identification of people hidden from view with a single-pixel, single-photon detector von Caramazza, Piergiorgio, Boccolini, Alessandro, Buschek, Daniel, Hullin, Matthias, Higham, Catherine F., Henderson, Robert, Murray-Smith, Roderick, Faccio, Daniele

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A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thaliana von Higham, Catherine F, Husmeier, Dirk

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Individual variation in the structure of bilingual grammars von Cohen, Clara, Nabi, Syed Waqar, Higham, Catherine F, Putnam, Michael, Kootstra, Gerrit Jan, van Hell, Janet G

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Deep Learning: An Introduction for Applied Mathematicians von Higham, Catherine F., Higham, Desmond J.

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Individual variation in the structure of bilingual grammars: Supplementary material von Cohen, Clara, Nabi, Syed Waqar, Higham, Catherine F, Putnam, Michael, Kootstra, Gerrit Jan, van Hell, Janet G

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Modelling and inference reveal nonlinear length-dependent suppression of somatic instability for small disease associated alleles in myotonic dystrophy type 1 and Huntington diseas... von Higham, Catherine F., Monckton, Darren G.

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Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop von Higham, Catherine F

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Deceptive Diffusion: Generating Synthetic Adversarial Examples von Beerens, Lucas, Higham, Catherine F, Higham, Desmond J

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Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians von Higham, Catherine F, Higham, Desmond J, Grindrod, Peter

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Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer von Higham, Catherine F, Bedford, Adrian

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Inference of Circadian Regulatory Pathways Based on Delay Differential Equations von Higham, Catherine F., Husmeier, Dirk

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Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer von Higham, Catherine F, Higham, Desmond J, Tudisco, Francesco

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Deceptive Diffusion: Generating Synthetic Adversarial Examples von Lucas Beerens, Higham, Catherine F, Higham, Desmond J

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Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians von Higham, Catherine F, Higham, Desmond J, Grindrod, Peter

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