Obtaining genetics insights from deep learning via explainable artificial intelligence von Novakovsky, Gherman, Dexter, Nick, Libbrecht, Maxwell W., Wasserman, Wyeth W., Mostafavi, Sara

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Environmental variables influence patterns of mammal co-occurrence following introduced predator control von Kanishka, Aurelie M, Blanchard, Wade, Lavery, Tyrone H, Robinson, Natasha M, Dexter, Nick, Dickman, Chris R, MacGregor, Christopher, Lindenmayer, David B

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Finding food in a novel environment: The diet of a reintroduced endangered meso-predator to mainland Australia, with notes on foraging behaviour von Robinson, Natasha M, Blanchard, Wade, MacGregor, Christopher, Brewster, Rob, Dexter, Nick, Lindenmayer, David B

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Unintended consequences of invasive predator control in an Australian forest: overabundant wallabies and vegetation change von Dexter, Nick, Hudson, Matt, James, Stuart, Macgregor, Christopher, Lindenmayer, David B

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Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients von Dexter, Nick C., Webster, Clayton G., Zhang, Guannan

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INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis von Zabeti, Hooman, Dexter, Nick, Safari, Amir Hosein, Sedaghat, Nafiseh, Libbrecht, Maxwell, Chindelevitch, Leonid

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Can evolutionary theories of dispersal and senescence predict postrelease survival, dispersal, and body condition of a reintroduced threatened mammal? von Robinson, Natasha M., Blanchard, Wade, MacGregor, Christopher, Brewster, Rob, Dexter, Nick, Lindenmayer, David B.

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An Adaptive Sampling and Domain Learning Strategy for Multivariate Function Approximation on Unknown Domains von Adcock, Ben, Cardenas, Juan M., Dexter, Nick

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Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks von Adcock, Ben, Brugiapaglia, Simone, Dexter, Nick, Moraga, Sebastian

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Optimal approximation of infinite-dimensional holomorphic functions von Adcock, Ben, Dexter, Nick, Moraga, Sebastian

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Polynomial approximation via compressed sensing of high-dimensional functions on lower sets von Chkifa, Abdellah, Dexter, Nick, Tran, Hoang, Webster, Clayton G.

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Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging von Adcock, Ben, Dexter, Nick, Xu, Qinghong

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CAS4DL: Christoffel adaptive sampling for function approximation via deep learning von Adcock, Ben, Cardenas, Juan M., Dexter, Nick

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What factors influence rapid post-fire site re-occupancy? A case study of the endangered Eastern Bristlebird in eastern Australia von Lindenmayer, David B, MacGregor, Chris, Wood, Jeff T, Cunningham, Ross B, Crane, Mason, Michael, Damian, Montague-Drake, Rebecca, Brown, Darren, Fortescue, Martin, Dexter, Nick, Hudson, Matt, Gill, A. Malcolm

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Eruptive dynamics are common in managed mammal populations von Duncan, Richard P., Dexter, Nick, Wayne, Adrian, Hone, Jim

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On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals von Dexter, Nick, Tran, Hoang, Webster, Clayton G.

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On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals von Dexter, Nick, Tran, Hoang, Webster, Clayton G.

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Conservation conundrums and the challenges of managing unexplained declines of multiple species von Lindenmayer, David B., Wood, Jeff, MacGregor, Christopher, Foster, Claire, Scheele, Ben, Tulloch, Ayesha, Barton, Philip, Banks, Sam, Robinson, Natasha, Dexter, Nick, O'Loughlin, Luke S., Legge, Sarah

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A novel approach to assessing the ecosystem-wide impacts of reintroductions von Baker, Christopher M., Bode, Michael, Dexter, Nick, Lindenmayer, David B., Foster, Claire, MacGregor, Christopher, Plein, Michaela, McDonald-Madden, Eve

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Be nimble with threat mitigation: lessons learned from the reintroduction of an endangered species von Robinson, Natasha M., Dexter, Nick, Brewster, Rob, Maple, Dion, MacGregor, Chris, Rose, Karrie, Hall, Jane, Lindenmayer, David B.

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