G. Avni, S. Guha, and O. Kupferman, “An abstraction-refinement methodology for reasoning about network games,” presented at the IJCAI: International Joint Conference on Artificial Intelligence , Melbourne, Australia, 2017, pp. 70–76.

A. Kolesnikov and C. Lampert, “PixelCNN models with auxiliary variables for natural image modeling,” in 34th International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 1905–1914.

S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, CaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.

H. Sachdeva and N. H. Barton, “Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow,” Evolution; International Journal of Organic Evolution, vol. 71, no. 6. Wiley-Blackwell, pp. 1478–1493, 2017.

A. Levina (Martius) and V. Priesemann, “Subsampling scaling,” Nature Communications, vol. 8. Nature Publishing Group, 2017.

G. Bighin and M. Lemeshko, “Diagrammatic approach to orbital quantum impurities interacting with a many-particle environment,” Physical Review B - Condensed Matter and Materials Physics, vol. 96, no. 8. American Physical Society, 2017.

J. Maas, M. Rumpf, and S. Simon, “Transport based image morphing with intensity modulation,” presented at the SSVM:  Scale Space and Variational Methods in Computer Vision, Kolding, Denmark, 2017, vol. 10302, pp. 563–577.

I. Cherepanov and M. Lemeshko, “Fingerprints of angulon instabilities in the spectra of matrix-isolated molecules,” Physical Review Materials, vol. 1, no. 3. American Physical Society, 2017.

C. Chen and P. M. Jonas, “Synaptotagmins: That’s why so many,” Neuron, vol. 94, no. 4. Elsevier, pp. 694–696, 2017.

M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife, vol. 6. eLife Sciences Publications, 2017.

T. Friedlander, R. Prizak, N. H. Barton, and G. Tkadik, “Evolution of new regulatory functions on biophysically realistic fitness landscapes,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017.

M. Trinh, D. H. Chu, and J. Jaffar, “Model counting for recursively-defined strings,” presented at the CAV: Computer Aided Verification, Heidelberg, Germany, 2017, vol. 10427, pp. 399–418.

D. Charlesworth, N. H. Barton, and B. Charlesworth, “The sources of adaptive evolution,” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 284, no. 1855. Royal Society, The, 2017.

D. De Martino, “Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics,”  Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 95, no. 6. American Institute of Physics, p. 062419, 2017.

E. Carlen and J. Maas, “Gradient flow and entropy inequalities for quantum Markov semigroups with detailed balance,” Journal of Functional Analysis, vol. 273, no. 5. Academic Press, pp. 1810–1869, 2017.

M. Turelli and N. H. Barton, “Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti,” Theoretical Population Biology, vol. 115. Elsevier, pp. 45–60, 2017.

T. Schmidt et al., “Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti,” PLoS Biology, vol. 15, no. 5. Public Library of Science, 2017.

D. De Martino, F. Capuani, and A. De Martino, “Quantifying the entropic cost of cellular growth control,”  Physical Review E Statistical Nonlinear and Soft Matter Physics , vol. 96, no. 1. American Institute of Physics, 2017.

T. Schmidt et al., “Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics.” Public Library of Science, 2017.

T. Schmidt et al., “Supporting information concerning observed wMel frequencies and analyses of habitat variables.” Public Library of Science , 2017.