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5507 Publications
2020 | Published | Journal Article | IST-REx-ID: 9104 | 
Z. Bao, L. Erdös, and K. Schnelli, “On the support of the free additive convolution,” Journal d’Analyse Mathematique, vol. 142. Springer Nature, pp. 323–348, 2020.
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 9114 |
W. J. Hease et al., “Bidirectional electro-optic wavelength conversion in the quantum ground state,” PRX Quantum, vol. 1, no. 2. American Physical Society, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 9156 |
A. Akopyan and H. Edelsbrunner, “The weighted Gaussian curvature derivative of a space-filling diagram,” Computational and Mathematical Biophysics, vol. 8, no. 1. De Gruyter, pp. 74–88, 2020.
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 9157 |
A. Akopyan and H. Edelsbrunner, “The weighted mean curvature derivative of a space-filling diagram,” Computational and Mathematical Biophysics, vol. 8, no. 1. De Gruyter, pp. 51–67, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 9194 |
N. Lauk et al., “Perspectives on quantum transduction,” Quantum Science and Technology, vol. 5, no. 2. IOP Publishing, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 9195 |
N. J. Lambert, A. R. Rueda Sanchez, F. Sedlmeir, and H. G. L. Schwefel, “Coherent conversion between microwave and optical photons - An overview of physical implementations,” Advanced Quantum Technologies, vol. 3, no. 1. Wiley, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 9197
G. Avni, R. Ibsen-Jensen, and J. Tkadlec, “All-pay bidding games on graphs,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 02. Association for the Advancement of Artificial Intelligence, pp. 1798–1805, 2020.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9202 |
M. Garcia Soto and P. Prabhakar, “Hybridization for stability verification of nonlinear switched systems,” in 2020 IEEE Real-Time Systems Symposium, Houston, TX, USA , 2020, pp. 244–256.
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2020 | Published | Conference Paper | IST-REx-ID: 9221 |
Q. Nguyen and M. Mondelli, “Global convergence of deep networks with one wide layer followed by pyramidal topology,” in 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 11961–11972.
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2020 | Research Data | IST-REx-ID: 9222 |
G. Katsaros, “Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling.” Institute of Science and Technology Austria, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 9249 |
R. Biswas, G. Largeteau-Skapin, R. Zrour, and E. Andres, “Digital objects in rhombic dodecahedron grid,” Mathematical Morphology - Theory and Applications, vol. 4, no. 1. De Gruyter, pp. 143–158, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 9299 |
J. Pach, G. Tardos, and G. Tóth, “Crossings between non-homotopic edges,” in 28th International Symposium on Graph Drawing and Network Visualization, Virtual, Online, 2020, vol. 12590, pp. 359–371.
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 9308 |
S. Avvakumov, U. Wagner, I. Mabillard, and A. B. Skopenkov, “Eliminating higher-multiplicity intersections, III. Codimension 2,” Russian Mathematical Surveys, vol. 75, no. 6. IOP Publishing, pp. 1156–1158, 2020.
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| arXiv
2020 | Conference Paper | IST-REx-ID: 9415 |
M. Kurtz et al., “Inducing and exploiting activation sparsity for fast neural network inference,” in 37th International Conference on Machine Learning, ICML 2020, Online, 2020, vol. 119, pp. 5533–5543.
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2020 | Published | Journal Article | IST-REx-ID: 14125 |
Stark SG et al. 2020. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 36(Supplement_2), i919–i927.
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| PubMed | Europe PMC
2020 | Published | Conference Paper | IST-REx-ID: 14186 |
F. Locatello et al., “A commentary on the unsupervised learning of disentangled representations,” in The 34th AAAI Conference on Artificial Intelligence, New York, NY, United States, 2020, vol. 34, no. 9, pp. 13681–13684.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 14187 |
G. Négiar et al., “Stochastic Frank-Wolfe for constrained finite-sum minimization,” in Proceedings of the 37th International Conference on Machine Learning, Virtual, 2020, vol. 119, pp. 7253–7262.
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