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591 Publications
2017 |
Published |
Journal Article |
IST-REx-ID: 990 |
Sachdeva H, Barton NH. 2017. Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. 71(6), 1478–1493.
[Submitted Version]
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| PubMed | Europe PMC
2017 |
Published |
Thesis | PhD |
IST-REx-ID: 992 |
Rolinek M. 2017. Complexity of constraint satisfaction. Institute of Science and Technology Austria.
[Published Version]
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2017 |
Published |
Journal Article |
IST-REx-ID: 993 |
Levina (Martius) A, Priesemann V. 2017. Subsampling scaling. Nature Communications. 8, 15140.
[Published Version]
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2017 |
Published |
Journal Article |
IST-REx-ID: 994 |
Cherepanov I, Lemeshko M. 2017. Fingerprints of angulon instabilities in the spectra of matrix-isolated molecules. Physical Review Materials. 1(3).
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2017 |
Published |
Journal Article |
IST-REx-ID: 995 |
Bighin G, Lemeshko M. 2017. Diagrammatic approach to orbital quantum impurities interacting with a many-particle environment. Physical Review B - Condensed Matter and Materials Physics. 96(8), 085410.
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2017 |
Published |
Journal Article |
IST-REx-ID: 996 |
Shepperson B, Chatterley A, Søndergaard A, Christiansen L, Lemeshko M, Stapelfeldt H. 2017. Strongly aligned molecules inside helium droplets in the near-adiabatic regime. The Journal of Chemical Physics. 147(1), 013946.
[Submitted Version]
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2017 |
Published |
Journal Article |
IST-REx-ID: 997 |
Yakaboylu E, Deuchert A, Lemeshko M. 2017. Emergence of non-abelian magnetic monopoles in a quantum impurity problem. Physical Review Letters. 119(23), 235301.
[Preprint]
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 998 |
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017, 5533–5542.
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2017 |
Published |
Conference Paper |
IST-REx-ID: 999 |
Pentina A, Lampert C. 2017. Multi-task learning with labeled and unlabeled tasks. ICML: International Conference on Machine Learning, PMLR, vol. 70, 2807–2816.
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