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3829 Publications
2017 | Journal Article | IST-REx-ID: 990 | 
H. Sachdeva and N. H. Barton, “Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow,” Evolution; International Journal of Organic Evolution, vol. 71, no. 6. Wiley-Blackwell, pp. 1478–1493, 2017.
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| PubMed | Europe PMC
2017 | Thesis | IST-REx-ID: 992 |
M. Rolinek, “Complexity of constraint satisfaction,” IST Austria, 2017.
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2017 | Journal Article | IST-REx-ID: 993 |
A. Levina (Martius) and V. Priesemann, “Subsampling scaling,” Nature Communications, vol. 8. Nature Publishing Group, 2017.
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2017 | Journal Article | IST-REx-ID: 994 |
I. Cherepanov and M. Lemeshko, “Fingerprints of angulon instabilities in the spectra of matrix-isolated molecules,” Physical Review Materials, vol. 1, no. 3. American Physical Society, 2017.
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| Download Submitted Version (ext.)
2017 | Journal Article | IST-REx-ID: 995 |
G. Bighin and M. Lemeshko, “Diagrammatic approach to orbital quantum impurities interacting with a many-particle environment,” Physical Review B - Condensed Matter and Materials Physics, vol. 96, no. 8. American Physical Society, 2017.
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2017 | Journal Article | IST-REx-ID: 996 |
B. Shepperson, A. Chatterley, A. Søndergaard, L. Christiansen, M. Lemeshko, and H. Stapelfeldt, “Strongly aligned molecules inside helium droplets in the near-adiabatic regime,” The Journal of Chemical Physics, vol. 147, no. 1. AIP, 2017.
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2017 | Journal Article | IST-REx-ID: 997 |
E. Yakaboylu, A. Deuchert, and M. Lemeshko, “Emergence of non-abelian magnetic monopoles in a quantum impurity problem,” APS Physics, Physical Review Letters, vol. 119, no. 23. American Physiological Society, 2017.
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2017 | Conference Paper | IST-REx-ID: 998 |
S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, “iCaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.
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2017 | Conference Paper | IST-REx-ID: 999 |
A. Pentina and C. Lampert, “Multi-task learning with labeled and unlabeled tasks,” presented at the ICML: International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 2807–2816.
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