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4553 Publications
2014 | Journal Article | IST-REx-ID: 2168 | 
J. Kelleher, A. Etheridge, and N. H. Barton, “Coalescent simulation in continuous space: Algorithms for large neighbourhood size,” Theoretical Population Biology, vol. 95. Academic Press, pp. 13–23, 2014.
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2014 | Journal Article | IST-REx-ID: 2169 |
N. H. Barton, S. Novak, and T. Paixao, “Diverse forms of selection in evolution and computer science,” PNAS, vol. 111, no. 29. National Academy of Sciences, pp. 10398–10399, 2014.
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2014 | Conference Paper | IST-REx-ID: 2171 |
A. Kolesnikov, M. Guillaumin, V. Ferrari, and C. Lampert, “Closed-form approximate CRF training for scalable image segmentation,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Zurich, Switzerland, 2014, vol. 8691, no. PART 3, pp. 550–565.
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2014 | Conference Paper | IST-REx-ID: 2173 |
S. Khamis and C. Lampert, “CoConut: Co-classification with output space regularization,” in Proceedings of the British Machine Vision Conference 2014, Nottingham, UK, 2014.
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2014 | Journal Article | IST-REx-ID: 2175 |
M. P. Postiglione and S. Hippenmeyer, “Monitoring neurogenesis in the cerebral cortex: an update,” Future Neurology, vol. 9, no. 3. Future Medicine Ltd., pp. 323–340, 2014.
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2014 | Conference Paper | IST-REx-ID: 2172
V. Sydorov, M. Sakurada, and C. Lampert, “Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Columbus, USA, 2014, pp. 1402–1409.
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2014 | Journal Article | IST-REx-ID: 2174 |
H. De Vladar and N. H. Barton, “Stability and response of polygenic traits to stabilizing selection and mutation,” Genetics, vol. 197, no. 2. Genetics Society of America, pp. 749–767, 2014.
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2014 | Journal Article | IST-REx-ID: 2179 |
O. H. Ajanki, L. Erdös, and T. H. Krüger, “Local semicircle law with imprimitive variance matrix,” Electronic Communications in Probability, vol. 19. Institute of Mathematical Statistics, 2014.
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2014 | Journal Article | IST-REx-ID: 2178 |
D. Haws, A. Martin del Campo Sanchez, A. Takemura, and R. Yoshida, “Markov degree of the three-state toric homogeneous Markov chain model,” Beitrage zur Algebra und Geometrie, vol. 55, no. 1. Springer, pp. 161–188, 2014.
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2014 | Conference Paper | IST-REx-ID: 2185 |
Y. Dodis, K. Z. Pietrzak, and D. Wichs, “Key derivation without entropy waste,” presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Copenhagen, Denmark, 2014, vol. 8441, pp. 93–110.
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2014 | Journal Article | IST-REx-ID: 2180 |
A. Bellet, A. Habrard, E. Morvant, and M. Sebban, “Learning a priori constrained weighted majority votes,” Machine Learning, vol. 97, no. 1–2. Springer, pp. 129–154, 2014.
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2014 | Journal Article | IST-REx-ID: 2184 |
M. Čadek, M. Krcál, J. Matoušek, F. Sergeraert, L. Vokřínek, and U. Wagner, “Computing all maps into a sphere,” Journal of the ACM, vol. 61, no. 3. ACM, 2014.
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2014 | Journal Article | IST-REx-ID: 2183 |
V. Botella Soler and P. Glendinning, “Hierarchy and polysynchrony in an adaptive network ,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 89, no. 6. American Institute of Physics, 2014.
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2014 | Journal Article | IST-REx-ID: 2186 |
T. Chen, C. Hainzl, N. Pavlović, and R. Seiringer, “On the well-posedness and scattering for the Gross-Pitaevskii hierarchy via quantum de Finetti,” Letters in Mathematical Physics, vol. 104, no. 7. Springer, pp. 871–891, 2014.
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2014 | Journal Article | IST-REx-ID: 2187 |
R. Bloem et al., “Synthesizing robust systems,” Acta Informatica, vol. 51, no. 3–4. Springer, pp. 193–220, 2014.
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2014 | Journal Article | IST-REx-ID: 2188 |
U. Kania, M. Fendrych, and J. Friml, “Polar delivery in plants; commonalities and differences to animal epithelial cells,” Open Biology, vol. 4, no. APRIL. Royal Society, 2014.
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2014 | Conference Paper | IST-REx-ID: 2189 |
E. Morvant, “Adaptation de domaine de vote de majorité par auto-étiquetage non itératif,” presented at the CAP: Conférence Francophone sur l’Apprentissage Automatique (Machine Learning French Conference), Saint-Etienne, France, 2014, vol. 1, pp. 49–58.
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