Inglés Prieto, Álvaro, et al. “Light-Assisted Small-Molecule Screening against Protein Kinases.”10.1038/nchembio.1933__Nature Chemical Biology, vol. 11, no. 12, Nature Publishing Group, 2015, pp. 952–54, doi:10.1038/nchembio.1933.

Cepeda Humerez, Sarah A., et al. “Stochastic Proofreading Mechanism Alleviates Crosstalk in Transcriptional Regulation.”10.1103/PhysRevLett.115.248101__Physical Review Letters, vol. 115, no. 24, 248101, American Physical Society, 2015, doi:10.1103/PhysRevLett.115.248101.

Avvakumov, Sergey, et al. “Eliminating Higher-Multiplicity Intersections, III. Codimension 2.” ArXiv, 1511.03501.

Chatterjee, Krishnendu, et al. Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components. IST Austria, 2015, doi:10.15479/AT:IST-2015-340-v1-1.

Anonymous, 1, et al. Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components. IST Austria, 2015.

Svoreová, Mária, et al. “Temporal Logic Control for Stochastic Linear Systems Using Abstraction Refinement of Probabilistic Games.”10.1145/2728606.2728608__Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, ACM, 2015, pp. 259–68, doi:10.1145/2728606.2728608.

Giacobbe, Mirco, et al. Model Checking Gene Regulatory Networks. Vol. 9035, Springer, 2015, pp. 469–83, doi:10.1007/978-3-662-46681-0_47.

Michalko, Jaroslav, et al. “Embryo-Lethal Phenotypes in Early Ab Mutants Are Due to Disruption of the Neighboring BSM Gene.”10.12688/f1000research.7143.1__00 Research , vol. 4, 00 Research, 2015, doi:10.12688/f1000research.7143.1.

Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population Games with Sequentially Searching Individuals.”10.3390/g6040413__Games, vol. 6, no. 4, MDPI, 2015, pp. 413–37, doi:10.3390/g6040413.

Martius, Georg S., and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.”10.3390/e17107266__Entropy, vol. 17, no. 10, MDPI, 2015, pp. 7266–97, doi:10.3390/e17107266.

Chen, Chong, et al. “Low-Dose Sevoflurane Promoteshippocampal Neurogenesis and Facilitates the Development of Dentate Gyrus-Dependent Learning in Neonatal Rats.”10.1177/1759091415575845__ASN Neuro, vol. 7, no. 2, SAGE Publications, 2015, doi:10.1177/1759091415575845.

Erbar, Matthias, et al. “Discrete Ricci Curvature Bounds for Bernoulli-Laplace and Random Transposition Models.”10.5802/afst.1464__Annales de La Faculté Des Sciences de Toulouse, vol. 24, no. 4, Faculté des sciences de Toulouse, 2015, pp. 781–800, doi:10.5802/afst.1464.

Brázdil, Tomás, et al. Counterexample Explanation by Learning Small Strategies in Markov Decision Processes. Vol. 9206, Springer, 2015, pp. 158–77, doi:10.1007/978-3-319-21690-4_10.

Fellner, Andreas. Experimental Part of CAV 2015 Publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes. Institute of Science and Technology Austria, 2015, doi:10.15479/AT:ISTA:28.

Goaoc, Xavier, et al. Bounding Helly Numbers via Betti Numbers. Vol. 34, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2015, pp. 507–21, doi:10.4230/LIPIcs.SOCG.2015.507.

Dziembowski, Stefan, et al. “Proofs of Space.”10.1007/978-3-662-48000-7_29__35th Annual Cryptology Conference, vol. 9216, Springer, 2015, pp. 585–605, doi:10.1007/978-3-662-48000-7_29.

Chevereau, Guillaume, et al. “Quantifying the Determinants of Evolutionary Dynamics Leading to Drug Resistance.”10.1371/journal.pbio.1002299__PLoS Biology, vol. 13, no. 11, e1002299, Public Library of Science, 2015, doi:10.1371/journal.pbio.1002299.

Hashimoto, Masakazu, et al. “Molecular and Cellular Mechanisms of Development Underlying Congenital Diseases.”10.1111/cga.12039__Congenital Anomalies, vol. 54, no. 1, Wiley, 2014, pp. 1–7, doi:10.1111/cga.12039.

Aminof, Benjamin, et al. “Parameterized Model Checking of Token-Passing Systems.”10.1007/978-3-642-54013-4_15__Verification, Model Checking, and Abstract Interpretation, vol. 8318, Springer Nature, 2014, pp. 262–81, doi:10.1007/978-3-642-54013-4_15.

Chatterjee, Krishnendu, et al. “Approximating the Minimum Cycle Mean.”10.1016/j.tcs.2014.06.031__Theoretical Computer Science, vol. 547, no. C, Elsevier, 2014, pp. 104–16, doi:10.1016/j.tcs.2014.06.031.