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2013 | Journal Article | IST-REx-ID: 2278
R. Pérez Gómez, J. Slovakova, N. Rives Quinto, A. Krejčí, and A. Carmena, “A serrate-notch-canoe complex mediates essential interactions between glia and neuroepithelial cells during Drosophila optic lobe development,” Journal of Cell Science, vol. 126, no. 21, pp. 4873–4884, 2013.View | DOI
2013 | Conference Paper | IST-REx-ID: 2901
C. Chen, V. Kolmogorov, Z. Yan, D. Metaxas, and C. Lampert, “Computing the M most probable modes of a graphical model,” presented at the AISTATS: Conference on Uncertainty in Artificial Intelligence, Scottsdale, AZ, United States, 2013, vol. 31, pp. 161–169.View | Download (ext.)
2013 | Conference Paper | IST-REx-ID: 2906
M. Kerber and H. Edelsbrunner, “3D kinetic alpha complexes and their implementation,” in 2013 Proceedings of the 15th Workshop on Algorithm Engineering and Experiments, New Orleans, LA, United States, 2013, pp. 70–77.View | Files available | DOI
2013 | Conference Paper | IST-REx-ID: 2812
D. Attali, U. Bauer, O. Devillers, M. Glisse, and A. Lieutier, “Homological reconstruction and simplification in R3,” in Proceedings of the 29th annual symposium on Computational Geometry, Rio de Janeiro, Brazil, 2013, pp. 117–125.View | Files available | DOI | Download (ext.)
2013 | Conference Paper | IST-REx-ID: 2305
T. Brázdil, K. Chatterjee, V. Forejt, and A. Kučera, “Trading performance for stability in Markov decision processes,” in 28th Annual ACM/IEEE Symposium, New Orleans, LA, United States, 2013, pp. 331–340.View | Files available | DOI | Download (ext.) | arXiv
2013 | Journal Article | IST-REx-ID: 2831
K. Chatterjee, M. Henzinger, M. Joglekar, and N. Shah, “Symbolic algorithms for qualitative analysis of Markov decision processes with Büchi objectives,” Formal Methods in System Design, vol. 42, no. 3, pp. 301–327, 2013.View | Files available | DOI | Download (ext.) | arXiv
2013 | Journal Article | IST-REx-ID: 2850
G. Tkacik, O. Marre, T. Mora, D. Amodei, M. Berry, and W. Bialek, “The simplest maximum entropy model for collective behavior in a neural network,” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 3, p. P03011, 2013.View | DOI | Download (ext.) | arXiv