Lang, Moritz, and Mikhail Shkolnikov. “Harmonic Dynamics of the Abelian Sandpile.”10.1073/pnas.1812015116__Proceedings of the National Academy of Sciences, vol. 116, no. 8, National Academy of Sciences, 2019, pp. 2821–30, doi:10.1073/pnas.1812015116.

Locatello, Francesco, et al. “Disentangling Factors of Variation Using Few Labels.” 8th International Conference on Learning Representations, 2019.

Gresele, Luigi, et al. “The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA.” Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, vol. 115, ML Research Press, 2019, pp. 217–27.

Locatello, Francesco, et al. “On the Fairness of Disentangled Representations.” Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14611–14624.

Locatello, Francesco, et al. “Stochastic Frank-Wolfe for Composite Convex Minimization.” Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14291–14301.

Steenkiste, Sjoerd van, et al. “Are Disentangled Representations Helpful for Abstract Visual Reasoning?” Advances in Neural Information Processing Systems, vol. 32, 2019.

Locatello, Francesco, et al. “Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, ML Research Press, 2019, pp. 4114–24.

Kavcic, Bor, et al. “Limiting Shapes of Confined Lipid Vesicles.”10.1039/c8sm01956h__Soft Matter, vol. 15, no. 4, Royal Society of Chemistry, 2019, pp. 602–14, doi:10.1039/c8sm01956h.

Erbar, Matthias, et al. “On the Geometry of Geodesics in Discrete Optimal Transport.”10.1007/s00526-018-1456-1__Calculus of Variations and Partial Differential Equations, vol. 58, no. 1, 19, Springer, 2019, doi:10.1007/s00526-018-1456-1.

Gondal, Muhammad Waleed, et al. “On the Transfer of Inductive Bias from Simulation to the Real World: A New Disentanglement Dataset.” Advances in Neural Information Processing Systems, vol. 32, 2019.

Akitaya, Hugo, et al. “Recognizing Weak Embeddings of Graphs.”10.1145/3344549__ACM Transactions on Algorithms, vol. 15, no. 4, 50, ACM, 2019, doi:10.1145/3344549.

Giacobbe, Mirco. Automatic Time-Unbounded Reachability Analysis of Hybrid Systems. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6894.

Barton, Nicholas H. Data from: The Consequences of an Introgression Event. Dryad, 2019, doi:10.5061/dryad.2kb6fh4.

Trébuchet, Guillaume, et al. “The Repo Homeodomain Transcription Factor Suppresses Hematopoiesis in Drosophila and Preserves the Glial Fate.”10.1523/JNEUROSCI.1059-18.2018__Journal of Neuroscience, vol. 39, no. 2, Society for Neuroscience, 2019, pp. 238–55, doi:10.1523/JNEUROSCI.1059-18.2018.

Ganev, Iordan V. “The Wonderful Compactification for Quantum Groups.”10.1112/jlms.12193__Journal of the London Mathematical Society, vol. 99, no. 3, Wiley, 2019, pp. 778–806, doi:10.1112/jlms.12193.

Vasileva, Mina K. Molecular Mechanisms of Endomembrane Trafficking in Arabidopsis Thaliana. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:7172.

Goudarzi, Mohammad, et al. “Fluid Dynamics during Bleb Formation in Migrating Cells in Vivo.”10.1371/journal.pone.0212699__PLOS ONE, vol. 14, no. 2, e0212699, Public Library of Science, 2019, doi:10.1371/journal.pone.0212699.

Cepeda Humerez, Sarah A. Estimating Information Flow in Single Cells. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6473.

Prizak, Roshan. Coevolution of Transcription Factors and Their Binding Sites in Sequence Space. Institute of Science and Technology Austria, 2019, doi:10.15479/at:ista:th6071.

Srivastava, Tanya K. “On Derived Equivalences of K3 Surfaces in Positive Characteristic.”10.25537/dm.2019v24.1135-1177__Documenta Mathematica, vol. 24, EMS Press, 2019, pp. 1135–77, doi:10.25537/dm.2019v24.1135-1177.