D. Lundholm and R. Seiringer, “Fermionic behavior of ideal anyons,” Letters in Mathematical Physics, vol. 108, no. 11. Springer, pp. 2523–2541, 2018.

R. Richter, N. S. Baranova, A. Day, and J. Kwok, “Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets?,” Current Opinion in Structural Biology, vol. 50. Elsevier, pp. 65–74, 2018.

M. Harrison et al., “Hemimetabolous genomes reveal molecular basis of termite eusociality,” Nature Ecology and Evolution, vol. 2, no. 3. Springer Nature, pp. 557–566, 2018.

P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How to escape local optima in black box optimisation when non elitism outperforms elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.

T. Darrell, C. Lampert, N. Sebe, Y. Wu, and Y. Yan, “Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5. IEEE, pp. 1029–1031, 2018.

M. C. Harrison et al., “Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality.” Dryad, 2018.

T. Chen et al., “In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit Glu,” Cell Reports, vol. 25, no. 4. Elsevier, p. 852–861.e7, 2018.

A. Reversat and M. K. Sixt, “IgM’s exit route,” Journal of Experimental Medicine, vol. 215, no. 12. Rockefeller University Press, pp. 2959–2961, 2018.

A. Akopyan and A. Bobenko, “Incircular nets and confocal conics,” Transactions of the American Mathematical Society, vol. 370, no. 4. American Mathematical Society, pp. 2825–2854, 2018.

G. Avni, T. A. Henzinger, and R. Ibsen-Jensen, “Infinite-duration poorman-bidding games,” presented at the 14th International Conference on Web and Internet Economics, WINE, Oxford, UK, 2018, vol. 11316, pp. 21–36.

R. Dick et al., “Inositol phosphates are assembly co-factors for HIV-1,” Nature, vol. 560, no. 7719. Nature Publishing Group, pp. 509–512, 2018.

N. Kalinin and M. Shkolnikov, “Introduction to tropical series and wave dynamic on them,” Discrete and Continuous Dynamical Systems- Series A, vol. 38, no. 6. AIMS, pp. 2827–2849, 2018.

F. Locatello, G. Dresdner, R. Khanna, I. Valera, and G. Rätsch, “Boosting black box variational inference,” in Advances in Neural Information Processing Systems, Montreal, Canada, 2018, vol. 31.

F. Locatello, R. Khanna, J. Ghosh, and G. Rätsch, “Boosting variational inference: An optimization perspective,” in Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, 2018, vol. 84, pp. 464–472.

V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, and G. Rätsch, “SOM-VAE: Interpretable discrete representation learning on time series,” in International Conference on Learning Representations, New Orleans, LA, United States, 2018.

A. Yurtsever, O. Fercoq, F. Locatello, and V. Cevher, “A conditional gradient framework for composite convex minimization with applications to semidefinite programming,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 5727–5736.

H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp. 1279–1303, 2018.

M. Obremski and M. Skórski, “Inverted leftover hash lemma,” presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA, 2018, vol. 2018.

F. Locatello et al., “On matching pursuit and coordinate descent,” in Proceedings of the 35th International Conference on Machine Learning, 2018, vol. 80, pp. 3198–3207.

B. Kragl and S. Qadeer, “Layered Concurrent Programs,” presented at the CAV: Computer Aided Verification, Oxford, UK, 2018, vol. 10981, pp. 79–102.

W. Chaudhry et al., “Leaky resistance and the conditions for the existence of lytic bacteriophage,” PLoS Biology, vol. 16, no. 8. Public Library of Science, 2018.

N. Umetani and B. Bickel, “Learning three-dimensional flow for interactive aerodynamic design,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.

J. Alt, L. Erdös, and T. H. Krüger, “Local inhomogeneous circular law,” Annals Applied Probability , vol. 28, no. 1. Institute of Mathematical Statistics, pp. 148–203, 2018.

A. Akopyan and A. Petrunin, “Long geodesics on convex surfaces,” Mathematical Intelligencer, vol. 40, no. 3. Springer, pp. 26–31, 2018.

M. Brown et al., “Lymphatic exosomes promote dendritic cell migration along guidance cues,” Journal of Cell Biology, vol. 217, no. 6. Rockefeller University Press, pp. 2205–2221, 2018.

H. Robert et al., “Maternal auxin supply contributes to early embryo patterning in Arabidopsis,” Nature Plants, vol. 4, no. 8. Nature Publishing Group, pp. 548–553, 2018.

K. Fiedorczuk and L. A. Sazanov, “Mammalian mitochondrial complex I structure and disease causing mutations,” Trends in Cell Biology, vol. 28, no. 10. Elsevier, pp. 835–867, 2018.

K. Chatterjee, W. Dvorák, M. H. Henzinger, and V. Loitzenbauer, “Lower bounds for symbolic computation on graphs: Strongly connected components, liveness, safety, and diameter,” presented at the SODA: Symposium on Discrete Algorithms, New Orleans, Louisiana, United States, 2018, pp. 2341–2356.

S. Barzanjeh, M. Aquilina, and A. Xuereb, “Manipulating the flow of thermal noise in quantum devices,” Physical Review Letters, vol. 120, no. 6. American Physical Society, 2018.

S. Hross, F. J. Theis, M. K. Sixt, and J. Hasenauer, “Mechanistic description of spatial processes using integrative modelling of noise-corrupted imaging data,” Journal of the Royal Society Interface, vol. 15, no. 149. Royal Society Publishing, 2018.

A. Varshney and V. Steinberg, “Mixing layer instability and vorticity amplification in a creeping viscoelastic flow,” Physical Review Fluids, vol. 3, no. 10. American Physical Society, 2018.

J. Rybicki, E. Kisdi, and J. Anttila, “Model of bacterial toxin-dependent pathogenesis explains infective dose,” PNAS, vol. 115, no. 42. National Academy of Sciences, pp. 10690–10695, 2018.

T. Alderighi, L. Malomo, D. Giorgi, N. Pietroni, B. Bickel, and P. Cignoni, “Metamolds: Computational design of silicone molds,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.

W. Zhang et al., “Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS,” Nature Chemical Biology, vol. 14, no. 9. Nature Publishing Group, pp. 861–869, 2018.

C. Frick et al., “Nano-scale microfluidics to study 3D chemotaxis at the single cell level,” PLoS One, vol. 13, no. 6. Public Library of Science, 2018.

R. M. Ceinos et al., “Mutations in blind cavefish target the light regulated circadian clock gene period 2,” Scientific Reports, vol. 8, no. 1. Nature Publishing Group, 2018.

A. Elgyütt, T. Ferrere, and T. A. Henzinger, “Monitoring temporal logic with clock variables,” presented at the FORMATS: Formal Modeling and Analysis of Timed Systems, Beijing, China, 2018, vol. 11022, pp. 53–70.

C. Lenzen and J. Rybicki, “Near-optimal self-stabilising counting and firing squads,” Distributed Computing. Springer, 2018.

H. Edelsbrunner and M. Iglesias Ham, “Multiple covers with balls I: Inclusion–exclusion,” Computational Geometry: Theory and Applications, vol. 68. Elsevier, pp. 119–133, 2018.

E. Redchenko, A. Makarov, and V. Yudson, “Nanoscopy of pairs of atoms by fluorescence in a magnetic field,”  Physical Review A - Atomic, Molecular, and Optical Physics, vol. 97, no. 4. American Physical Society, 2018.

L. Zapata, O. Pich, L. Serrano, F. Kondrashov, S. Ossowski, and M. Schaefer, “Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome,” Genome Biology, vol. 19. BioMed Central, 2018.

S. M. Truckenbrodt et al., “Newly produced synaptic vesicle proteins are preferentially used in synaptic transmission,” The EMBO Journal, vol. 37, no. 15. Wiley, 2018.

L. Fan et al., “NHX antiporters regulate the pH of endoplasmic reticulum and auxin-mediated development,” Plant, Cell and Environment, vol. 41. Wiley-Blackwell, pp. 850–864, 2018.

S. Altmeyer, “Non-linear dynamics and alternating ‘flip’ solutions in ferrofluidic Taylor-Couette flow,” Journal of Magnetism and Magnetic Materials, vol. 452. Elsevier, pp. 427–441, 2018.

M. Huang, H. Fu, and K. Chatterjee, “New approaches for almost-sure termination of probabilistic programs,” presented at the 16th Asian Symposium on Programming Languages and Systems, APLAS, Wellington, New Zealand, 2018, vol. 11275, pp. 181–201.

L. Zapata, O. Pich, L. Serrano, F. Kondrashov, S. Ossowski, and M. Schaefer, “Additional file 2: Of negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome.” Springer Nature, 2018.

L. Zapata, O. Pich, L. Serrano, F. Kondrashov, S. Ossowski, and M. Schaefer, “Additional file 1: Of negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome.” Springer Nature, 2018.

J. Higareda Almaraz et al., “Norepinephrine triggers an immediate-early regulatory network response in primary human white adipocytes,” BMC Genomics, vol. 19, no. 1. BioMed Central, 2018.

S. Dziembowski, K. Z. Pietrzak, and D. Wichs, “Non-malleable codes,” Journal of the ACM, vol. 65, no. 4. ACM, 2018.

L. Carvalho et al., “Occluding junctions as novel regulators of tissue mechanics during wound repair,” Journal of Cell Biology, vol. 217, no. 12. Rockefeller University Press, pp. 4267–4283, 2018.