Unstructured regions in IR;1 specify BiP-mediated destabilisation of the luminal domain dimer and repression of the UPR
N.P. Amin-Wetzel, L. Neidhardt, Y. Yan, M.P. Mayer, D. Ron, ELife 8 (2019).
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eGFRD in all dimensions
T.R. Sokolowski, J. Paijmans, L. Bossen, T. Miedema, M. Wehrens, N.B. Becker, K. Kaizu, K. Takahashi, M. Dogterom, P.R. ten Wolde, The Journal of Chemical Physics 150 (2019).
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Extending simple drawings
A.M. Arroyo Guevara, M. Derka, I. Parada, in:, 27th International Symposium on Graph Drawing and Network Visualization, Springer Nature, 2019, pp. 230–243.
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Mixed-time signal temporal logic
T. Ferrere, O. Maler, D. Nickovic, in:, 17th International Conference on Formal Modeling and Analysis of Timed Systems, Springer Nature, 2019, pp. 59–75.
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GG and RA promote activity-dependent ;21-integrin recycling
P. Sahgal, J.H. Alanko, J. Icha, I. Paatero, H. Hamidi, A. Arjonen, M. Pietilä, A. Rokka, J. Ivaska, Journal of Cell Science 132 (2019).
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Finite rank perturbations in products of coupled random matrices: From one correlated to two Wishart ensembles
G. Akemann, T. Checinski, D. Liu, E. Strahov, Annales de l’Institut Henri Poincaré, Probabilités et Statistiques 55 (2019) 441–479.
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A reciprocal translocation radically reshapes sexlinked inheritance in the common frog
M.A. Toups, N. Rodrigues, N. Perrin, M. Kirkpatrick, Molecular Ecology 28 (2019) 1877–1889.
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Reversible proofs of sequential work
H.M. Abusalah, C. Kamath Hosdurg, K. Klein, K.Z. Pietrzak, M. Walter, in:, Advances in Cryptology – EUROCRYPT 2019, Springer International Publishing, 2019, pp. 277–291.
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Isolation of synaptic vesicles from genetically engineered cultured neurons
C. Mckenzie, M. Spanova, A.J. Johnson, S. Kainrath, V. Zheden, H.H. Sitte, H.L. Janovjak, Journal of Neuroscience Methods 312 (2019) 114–121.
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Distributed learning over unreliable networks
C. Yu, H. Tang, C. Renggli, S. Kassing, A. Singla, D.-A. Alistarh, C. Zhang, J. Liu, in:, 36th International Conference on Machine Learning, ICML 2019, IMLS, 2019, pp. 12481–12512.
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A local lemma for focused stochastical algorithms
D. Achlioptas, F. Iliopoulos, V. Kolmogorov, SIAM Journal on Computing 48 (2019) 1583–1602.
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MIS compensation: Optimizing sampling techniques in multiple importance sampling
O. Karlík, M. Sik, P. Vévoda, T. Skrivan, J. Kivánek, ACM Transactions on Graphics 38 (2019).
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Bogoliubov theory in the Gross–Pitaevskii limit
C. Boccato, C. Brennecke, S. Cenatiempo, B. Schlein, Acta Mathematica 222 (2019) 219–335.
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Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast
H.E. Morales, R. Faria, K. Johannesson, T. Larsson, M. Panova, A.M. Westram, R.K. Butlin, Science Advances 5 (2019).
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Dynamics of viscoelastic pipe flow at low Reynolds numbers in the maximum drag reduction limit
J.M. Lopez Alonso, G.H. Choueiri, B. Hof, Journal of Fluid Mechanics 874 (2019) 699–719.
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Poisson–Delaunay Mosaics of Order k
H. Edelsbrunner, A. Nikitenko, Discrete and Computational Geometry 62 (2019) 865–878.
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Assembly responses of hippocampal C place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze
H. Xu, P. Baracskay, J. O’Neill, J.L. Csicsvari, Neuron 101 (2019) 119–132.e4.
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Energy contribution of a point-interacting impurity in a Fermi gas
T. Moser, R. Seiringer, Annales Henri Poincare 20 (2019) 1325–1365.
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Onset of turbulence in plane Poiseuille flow
C.S. Paranjape, Onset of Turbulence in Plane Poiseuille Flow, Institute of Science and Technology Austria, 2019.
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Random matrices with slow correlation decay
L. Erdös, T.H. Krüger, D.J. Schröder, Forum of Mathematics, Sigma 7 (2019).
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Cusp universality for random matrices, II: The real symmetric case
G. Cipolloni, L. Erdös, T.H. Krüger, D.J. Schröder, Pure and Applied Analysis  1 (2019) 615–707.
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Estimating information in time-varying signals
S.A. Cepeda Humerez, J. Ruess, G. Tkadik, PLoS Computational Biology 15 (2019) e1007290.
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Disruption of endocytosis through chemical inhibition of clathrin heavy chain function
W. Dejonghe, I. Sharma, B. Denoo, S. De Munck, Q. Lu, K. Mishev, H. Bulut, E. Mylle, R. De Rycke, M.K. Vasileva, D.V. Savatin, W. Nerinckx, A. Staes, A. Drozdzecki, D. Audenaert, K. Yperman, A. Madder, J. Friml, D. Van Damme, K. Gevaert, V. Haucke, S.N. Savvides, J. Winne, E. Russinova, Nature Chemical Biology 15 (2019) 641–649.
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Mechanosensation of tight junctions depends on ZO-1 phase separation and flow
C. Schwayer, Mechanosensation of Tight Junctions Depends on ZO-1 Phase Separation and Flow, Institute of Science and Technology Austria, 2019.
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Algorithmic aspects of homotopy theory and embeddability
S.Y. Zhechev, Algorithmic Aspects of Homotopy Theory and Embeddability, Institute of Science and Technology Austria, 2019.
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Vanishing of all equivariant obstructions and the mapping degree
S. Avvakumov, S. Kudrya, ArXiv (n.d.).
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arXiv: 1910.12628

Envy-free division using mapping degree
S. Avvakumov, R. Karasev, ArXiv (n.d.).
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The free energy of the two-dimensional dilute Bose gas. I. Lower bound
A. Deuchert, S. Mayer, R. Seiringer, ArXiv:1910.03372 (n.d.).
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Holes and dependences in an ordered complex
H. Edelsbrunner, K. Ölsböck, Computer Aided Geometric Design 73 (2019) 1–15.
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Finding a Nash equilibrium is no easier than breaking Fiat-Shamir
A.R. Choudhuri, P. Hubádek, C. Kamath Hosdurg, K.Z. Pietrzak, A. Rosen, G.N. Rothblum, in:, Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing  - STOC 2019, ACM Press, 2019, pp. 1103–1114.
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A proof of the orbit conjecture for flipping edge-labelled triangulations
A. Lubiw, Z. Masárová, U. Wagner, Discrete &; Computational Geometry 61 (2019) 880–898.
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Variational approaches to quantum impurities: from the Fröhlich polaron to the angulon
X. Li, G. Bighin, E. Yakaboylu, M. Lemeshko, Molecular Physics (2019).
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3-manifold triangulations with small treewidth
K. Huszár, J. Spreer, in:, 35th International Symposium on Computational Geometry, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, p. 44:1-44:20.
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On the treewidth of triangulated 3-manifolds
K. Huszár, J. Spreer, U. Wagner, Journal of Computational Geometry 10 (2019) 70–98.
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Cooperative ordering of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinker ZapA
P.R. Dos Santos Caldas, M.D. Lopez Pelegrin, D.J.G. Pearce, N.B. Budanur, J. Brugués, M. Loose, Nature Communications 10 (2019).
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Population structure determines the tradeoff between fixation probability and fixation time
J. Tkadlec, A. Pavlogiannis, K. Chatterjee, M.A. Nowak, Communications Biology 2 (2019).
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Value-centric dynamic partial order reduction
K. Chatterjee, A. Pavlogiannis, V. Toman, in:, Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications, ACM, 2019.
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Efficiency guarantees for parallel incremental algorithms under relaxed schedulers
D.-A. Alistarh, G. Nadiradze, N. Koval, in:, 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM Press, 2019, pp. 145–154.
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A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2
F.A. Erdem, M. Ilic, P. Koppensteiner, J. Goacki, G. Lubec, M. Freissmuth, W. Sandtner, The Journal of General Physiology 151 (2019) 1035–1050.
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Structures of respiratory supercomplex I+II reveal functional and conformational crosstalk
J.A. Letts, K. Fiedorczuk, G. Degliesposti, M. Skehel, L.A. Sazanov, Molecular Cell 75 (2019) 1131–1146.e6.
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NetPyNE, a tool for data-driven multiscale modeling of brain circuits
S. Dura-Bernal, B. Suter, P. Gleeson, M. Cantarelli, A. Quintana, F. Rodriguez, D.J. Kedziora, G.L. Chadderdon, C.C. Kerr, S.A. Neymotin, R.A. McDougal, M. Hines, G.M. Shepherd, W.W. Lytton, ELife 8 (2019).
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Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua
P. Veltsos, K.E. Ridout, M.A. Toups, S.C. González-Martínez, A. Muyle, O. Emery, P. Rastas, V. Hudzieczek, R. Hobza, B. Vyskot, G.A.B. Marais, D.A. Filatov, J.R. Pannell, Genetics 212 (2019) 815–835.
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Transient localization of the Ar/3 complex initiates neuronal dendrite branching in vivo
T. Stürner, A. Tatarnikova, J. Müller, B. Schaffran, H. Cuntz, Y. Zhang, M. Nemethova, S. Bogdan, V. Small, G. Tavosanis, Development 146 (2019).
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Graph planning with expected finite horizon
K. Chatterjee, L. Doyen, in:, 34th Annual ACM/IEEE Symposium on Logic in Computer Science, IEEE, 2019, pp. 1–13.
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Finite-size scaling of the photon-blockade breakdown dissipative quantum phase transition
A. Vukics, A. Dombi, J.M. Fink, P. Domokos, Quantum 3 (2019).
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Map inference via block-coordinate Frank-Wolfe algorithm
P. Swoboda, V. Kolmogorov, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2019.
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S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism
J. Morandell, A. Nicolas, L.A. Schwarz, G. Novarino, European Neuropsychopharmacology 29 (2019) –.
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S.16.03 A homozygous missense mutation in SL leads to autism spectrum disorder and microcephaly
L. Knaus, D.-C. Tarlungeanu, G. Novarino, European Neuropsychopharmacology 29 (2019) .
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Editorial overview: Cell biology in the era of omics?
E. Benková, Y. Dagdas, Current Opinion in Plant Biology 52 (2019) –.
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Distillation-based training for multi-exit architectures
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
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Powerset convolutional neural networks
C. Wendler, D.-A. Alistarh, M. Püschel, in:, Neural Information Processing Systems Foundation, 2019, pp. 927–938.
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Social immunity
S. Cremer, M. Kutzer, in:, J. Choe (Ed.), Encyclopedia of Animal Behavior, 2nd ed., Elsevier, 2019, pp. 747–755.
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FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels
F. Laccone, L. Malomo, J. Perez Rodriguez, N. Pietroni, F. Ponchio, B. Bickel, P. Cignoni, in:, IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE, International Center for Numerical Methods in Engineering, 2019, pp. 509–515.
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Detecting visual relationships using box attention
A. Kolesnikov, A. Kuznetsova, C. Lampert, V. Ferrari, in:, Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019.
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Function norms for neural networks
A. Rannen-Triki, M. Berman, V. Kolmogorov, M.B. Blaschko, in:, Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019.
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Mathematical models in population genetics
N.H. Barton, A. Etheridge, in:, D. Balding, I. Moltke, J. Marioni (Eds.), Handbook of Statistical Genomics, 4th ed., Wiley, 2019, pp. 115–144.
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Stronger counterexamples to the topological Tverberg conjecture
S. Avvakumov, R. Karasev, A. Skopenkov, ArXiv (n.d.).
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Adaptively secure proxy re-encryption
G. Fuchsbauer, C. Kamath Hosdurg, K. Klein, K.Z. Pietrzak, in:, Springer Nature, 2019, pp. 317–346.
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Stokes flow analogous to viscous electron current in graphene
J. Mayzel, V. Steinberg, A. Varshney, Nature Communications 10 (2019).
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Elastic alfven waves in elastic turbulence
A. Varshney, V. Steinberg, Nature Communications 10 (2019).
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EGFR controls hair shaft differentiation in a -independent manner
N. Amberg, P.A. Sotiropoulou, G. Heller, B.M. Lichtenberger, M. Holcmann, B. Camurdanoglu, T. Baykuscheva-Gentscheva, C. Blanpain, M. Sibilia, IScience 15 (2019) 243–256.
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Perturbations of continuum random Schrödinger operators with applications to Anderson orthogonality and the spectral shift function
A.M. Dietlein, M. Gebert, P. Müller, Journal of Spectral Theory 9 (2019) 921–965.
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A mean-field model with discontinuous coefficients for neurons with spatial interaction
F. Flandoli, E. Priola, G.A. Zanco, Discrete and Continuous Dynamical Systems 39 (2019) 3037–3067.
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Does preprocessing help under congestion?
K.-T. Foerster, J. Korhonen, J. Rybicki, S. Schmid, in:, Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, ACM, 2019, pp. 259–261.
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Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system
N. Nikolic, Current Genetics 65 (2019) 133–138.
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Bi-Sobolev solutions to the prescribed Jacobian inequality in the plane with L p data and applications to nonlinear elasticity
J.L. Fischer, O. Kneuss, Journal of Differential Equations 266 (2019) 257–311.
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Epigenetic cues modulating the generation of cell type diversity in the cerebral cortex
N. Amberg, S. Laukoter, S. Hippenmeyer, Journal of Neurochemistry 149 (2019) 12–26.
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Fluidization-mediated tissue spreading by mitotic cell rounding and non-canonical Wnt signalling
N. Petridou, S. Grigolon, G. Salbreux, E.B. Hannezo, C.-P.J. Heisenberg, Nature Cell Biology 21 (2019) 169–178.
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Harmonic dynamics of the Abelian sandpile
M. Lang, M. Shkolnikov, Proceedings of the National Academy of Sciences 116 (2019) 2821–2830.
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Disentangling factors of variation using few labels
F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, O. Bachem, in:, 8th International Conference on Learning Representations, 2019.
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The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA
L. Gresele, P.K. Rubenstein, A. Mehrjou, F. Locatello, B. Schölkopf, in:, Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence, ML Research Press, 2019, pp. 217–227.
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arXiv: 1905.06642

On the fairness of disentangled representations
F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, O. Bachem, in:, Advances in Neural Information Processing Systems, 2019, pp. 14611–14624.
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arXiv: 1905.13662

Stochastic Frank-Wolfe for composite convex minimization
F. Locatello, A. Yurtsever, O. Fercoq, V. Cevher, in:, Advances in Neural Information Processing Systems, 2019, pp. 14291–14301.
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arXiv: 1901.10348

Are disentangled representations helpful for abstract visual reasoning?
S. van Steenkiste, F. Locatello, J. Schmidhuber, O. Bachem, in:, Advances in Neural Information Processing Systems, 2019.
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arXiv: 1905.12506

Challenging common assumptions in the unsupervised learning of disentangled representations
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 4114–4124.
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arXiv: 1811.12359

Limiting shapes of confined lipid vesicles
B. Kavcic, A. Sakashita, H. Noguchi, P. Ziherl, Soft Matter 15 (2019) 602–614.
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On the geometry of geodesics in discrete optimal transport
M. Erbar, J. Maas, M. Wirth, Calculus of Variations and Partial Differential Equations 58 (2019).
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On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset
M.W. Gondal, M. Wüthrich, . Miladinovi, F. Locatello, M. Breidt, V. Volchkov, J. Akpo, O. Bachem, B. Schölkopf, S. Bauer, in:, Advances in Neural Information Processing Systems, 2019.
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arXiv: 1906.03292

Recognizing weak embeddings of graphs
H. Akitaya, R. Fulek, C. Tóth, ACM Transactions on Algorithms 15 (2019).
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Automatic time-unbounded reachability analysis of hybrid systems
M. Giacobbe, Automatic Time-Unbounded Reachability Analysis of Hybrid Systems, Institute of Science and Technology Austria, 2019.
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Data from: The consequences of an introgression event
N.H. Barton, (2019).
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The Repo homeodomain transcription factor suppresses hematopoiesis in Drosophila and preserves the glial fate
G. Trébuchet, P.B. Cattenoz, J. Zsámboki, D. Mazaud, D.E. Siekhaus, M. Fanto, A. Giangrande, Journal of Neuroscience 39 (2019) 238–255.
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The wonderful compactification for quantum groups
I.V. Ganev, Journal of the London Mathematical Society 99 (2019) 778–806.
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Molecular mechanisms of endomembrane trafficking in Arabidopsis thaliana
M.K. Vasileva, Molecular Mechanisms of Endomembrane Trafficking in Arabidopsis Thaliana, Institute of Science and Technology Austria, 2019.
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Fluid dynamics during bleb formation in migrating cells in vivo
M. Goudarzi, A. Boquet-Pujadas, J.C. Olivo-Marin, E. Raz, PLOS ONE 14 (2019).
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Estimating information flow in single cells
S.A. Cepeda Humerez, Estimating Information Flow in Single Cells, Institute of Science and Technology Austria, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6473
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Coevolution of transcription factors and their binding sites in sequence space
R. Prizak, Coevolution of Transcription Factors and Their Binding Sites in Sequence Space, Institute of Science and Technology Austria, 2019.
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On derived equivalences of k3 surfaces in positive characteristic
T.K. Srivastava, Documenta Mathematica 24 (2019) 1135–1177.
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arXiv: 1809.08970

Limit law of a second class particle in TASEP with non-random initial condition
P. Ferrari, P. Ghosal, P. Nejjar, Annales de l’institut Henri Poincare (B) Probability and Statistics 55 (2019) 1203–1225.
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An Austrian proposal for the classification of Open Access Tuples (COAT) - distinguish different open access types beyond colors
P. Danowski, Mitteilungen Der Vereinigung Österreichischer Bibliothekarinnen Und Bibliothekare 72 (2019) 59–65.
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Room temperature control of valley coherence in bilayer W exciton polaritons
M. Khatoniar, N. Yama, A. Ghazaryan, S. Guddala, P. Ghaemi, V. Menon, in:, CLEO: Applications and Technology, Optica  Publishing Group, 2019.
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Resonant electro-optic frequency comb generation in lithium niobate disk resonator inside a microwave cavity
A.R. Rueda Sanchez, F. Sedlmeir, G. Leuchs, M. Kumari, H.G.L. Schwefel, in:, Nonlinear Optics, OSA Technical Digest, Optica  Publishing Group, 2019.
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Location of the spectrum of Kronecker random matrices
J. Alt, L. Erdös, T.H. Krüger, Y. Nemish, Annales de l’institut Henri Poincare 55 (2019) 661–696.
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arXiv: 1706.08343

The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes
D. Andergassen, M. Muckenhuber, P.C. Bammer, T.M. Kulinski, H.-C. Theussl, T. Shimizu, J.M. Penninger, F. Pauler, Q.J. Hudson, PLoS Genetics 15 (2019).
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Non-equilibrium critical dynamics of bursts in ;8 and ;4 rhythms as fundamental characteristic of sleep and wake micro-architecture
J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational Biology 15 (2019).
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Towards understanding knowledge distillation
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
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Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 3488–3498.
LibreCat: https://research-explorer.ista.ac.at/record/6590
arXiv: 1901.10310

Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization
D. Huang, Y. Sun, Z. Ma, M. Ke, Y. Cui, Z. Chen, C. Chen, C. Ji, T. Tran, L. Yang, S. Lam, Y. Han, G. Shu, J. Friml, Y. Miao, L. Jiang, X. Chen, Proceedings of the National Academy of Sciences of the United States of America 116 (2019) 21274–21284.
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PMID: 31575745

On the power to detect rare recombination events
A.E. Wright, I. Darolti, N.I. Bloch, V. Oostra, B.A. Sandkam, S.D. Buechel, N. Kolm, F. Breden, B. Vicoso, J.E. Mank, Proceedings of the National Academy of Sciences of the United States of America 116 (2019) 12607–12608.
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Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow
M. Pickup, N.H. Barton, Y. Brandvain, C. Fraisse, S. Yakimowski, T. Dixit, C. Lexer, E. Cereghetti, D. Field, New Phytologist 224 (2019) 1035–1047.
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