Jelínek, Vít, and Martin Töpfer. “On Grounded L-Graphs and Their Relatives.”10.37236/8096__Electronic Journal of Combinatorics, vol. 26, no. 3, .17, Electronic Journal of Combinatorics, 2019, doi:10.37236/8096.

Avni, Guy, et al. “Bidding Games on Markov Decision Processes.”10.1007/978-3-030-30806-3_1__10.1007/978-3-030-30806-3_1__Proceedings of the 13th International Conference of Reachability Problems, vol. 11674, Springer, 2019, pp. 1–12, doi:10.1007/978-3-030-30806-3_1.

Chatterjee, Krishnendu, et al. “Near-Linear Time Algorithms for Streett Objectives in Graphs and MDPs.”10.4230/LIPICS.CONCUR.2019.7__Leibniz International Proceedings in Informatics, vol. 140, 7, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.7.

Lechner, Mathias, et al. “Designing Worm-Inspired Neural Networks for Interpretable Robotic Control.”10.1109/icra.2019.8793840__Proceedings - IEEE International Conference on Robotics and Automation, vol. 2019–May, 8793840, IEEE, 2019, doi:10.1109/icra.2019.8793840.

Aghajohari, Milad, et al. Determinacy in Discrete-Bidding Infinite-Duration Games. Vol. 140, 20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.20.

Chatterjee, Krishnendu, et al. Long-Run Average Behavior of Vector Addition Systems with States. Vol. 140, 27, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.27.

Chatterjee, Krishnendu, and Nir Piterman. Combinations of Qualitative Winning for Stochastic Parity Games. Vol. 140, 6, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, doi:10.4230/LIPICS.CONCUR.2019.6.

Nowak, Thomas, and Joel Rybicki. “Byzantine Approximate Agreement on Graphs.”10.4230/LIPICS.DISC.2019.29__33rd International Symposium on Distributed Computing, vol. 146, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, p. 29:1--29:17, doi:10.4230/LIPICS.DISC.2019.29.

Hasani, Ramin, et al. “Response Characterization for Auditing Cell Dynamics in Long Short-Term Memory Networks.”10.1109/ijcnn.2019.8851954__Proceedings of the International Joint Conference on Neural Networks, 8851954, IEEE, 2019, doi:10.1109/ijcnn.2019.8851954.

Mondelli, Marco, et al. “A New Coding Paradigm for the Primitive Relay Channel.”10.3390/a12100218__Algorithms, vol. 12, no. 10, 218, MDPI, 2019, doi:10.3390/a12100218.

Geher, Gyorgy Pal, et al. “Dirac Masses and Isometric Rigidity.” Kyoto RIMS Kôkyûroku, vol. 2125, Research Institute for Mathematical Sciences, Kyoto University, 2019, pp. 34–41.

Shirer, Kent R., et al. “Out-of-Plane Transport in ZrSiS and ZrSiSe Microstructures.”10.1063/1.5124568__APL Materials, vol. 7, no. 10, 101116, AIP, 2019, doi:10.1063/1.5124568.

Modic, Kimberly A., et al. “Thermodynamic Signatures of Weyl Fermions in NbP.”10.1038/s41598-018-38161-7__Scientific Reports, vol. 9, no. 1, 2095, Springer Nature, 2019, doi:10.1038/s41598-018-38161-7.

Martino, Edoardo, et al. “Persistent Antiferromagnetic Order in Heavily Overdoped Cx La x FeA.”10.1088/1361-648x/ab3b43__Journal of Physics: Condensed Matter, vol. 31, no. 48, 485705, IOP Publishing, 2019, doi:10.1088/1361-648x/ab3b43.

Bachmann, Maja D., et al. “Spatial Control of Heavy-Fermion Superconductivity in CeIrIn5.”10.1126/science.aao6640__Science, vol. 366, no. 6462, AAAS, 2019, pp. 221–26, doi:10.1126/science.aao6640.

Torrini, Consuelo, et al. “Common Regulatory Pathways Mediate Activity of MicroRNAs Inducing Cardiomyocyte Proliferation.”10.1016/j.celrep.2019.05.005__Cell Reports, vol. 27, no. 9, Elsevier, 2019, p. 2759–2771.e5, doi:10.1016/j.celrep.2019.05.005.

Cubero, Ryan J., et al. “Statistical Criticality Arises in Most Informative Representations.”10.1088/1742-5468/ab16c8__Journal of Statistical Mechanics: Theory and Experiment, vol. 2019, no. 6, 063402, IOP Publishing, 2019, doi:10.1088/1742-5468/ab16c8.

Censor-Hillel, Keren, et al. “Algebraic Methods in the Congested Clique.”10.1007/s00446-016-0270-2__Distributed Computing, vol. 32, no. 6, Springer Nature, 2019, pp. 461–78, doi:10.1007/s00446-016-0270-2.

Kersting, Kristian, et al., editors. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt. 1st ed., Springer Nature, 2019, doi:10.1007/978-3-658-26763-6.

Mourad, Eléonore, et al. “Singlet Oxygen from Cation Driven Superoxide Disproportionation and Consequences for Aprotic Metal–O2 Batteries.”10.1039/c9ee01453e__Energy &; Environmental Science, vol. 12, no. 8, RSC, 2019, pp. 2559–68, doi:10.1039/c9ee01453e.