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6293 Publications
2017 |
Research Data Reference |
IST-REx-ID: 9856
T. Schmidt et al., “Supporting Information concerning additional likelihood analyses and results.” Public Library of Science, 2017.
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2017 |
Research Data Reference |
IST-REx-ID: 9857
T. Schmidt et al., “Supporting information concerning observed wMel frequencies and analyses of habitat variables.” Public Library of Science , 2017.
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2017 |
Research Data Reference |
IST-REx-ID: 9858
T. Schmidt et al., “Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics.” Public Library of Science, 2017.
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2017 |
Research Data Reference |
IST-REx-ID: 9859 |
J. Greenwood et al., “Additional file 1: Table S1. of Oral immune priming with Bacillus thuringiensis induces a shift in the gene expression of Tribolium castaneum larvae.” Springer Nature, 2017.
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2017 |
Research Data Reference |
IST-REx-ID: 9860 |
J. Greenwood et al., “Additional file 5: Table S3. of Oral immune priming with Bacillus thuringiensis induces a shift in the gene expression of Tribolium castaneum larvae.” Springer Nature, 2017.
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2017 |
Research Data Reference |
IST-REx-ID: 9861 |
E. Argyridou, A. K. Huylmans, A. Königer, and J. Parsch, “Data from: X-linkage is not a general inhibitor of tissue-specific gene expression in Drosophila melanogaster.” Dryad, 2017.
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2017 |
Published |
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 |
Published |
Thesis | PhD |
IST-REx-ID: 992 |
M. Rolinek, “Complexity of constraint satisfaction,” Institute of Science and Technology Austria, 2017.
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2017 |
Published |
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 |
Published |
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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| arXiv
2017 |
Published |
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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| arXiv
2017 |
Published |
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 Publishing, 2017.
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| arXiv
2017 |
Published |
Journal Article |
IST-REx-ID: 997 |
E. Yakaboylu, A. Deuchert, and M. Lemeshko, “Emergence of non-abelian magnetic monopoles in a quantum impurity problem,” Physical Review Letters, vol. 119, no. 23. American Physical Society, 2017.
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| arXiv
2017 |
Published |
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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| arXiv
2017 |
Published |
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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| arXiv
2017 |
Published |
Book Chapter |
IST-REx-ID: 424 |
X. Goaoc, P. Paták, Z. Patakova, M. Tancer, and U. Wagner, “Bounding helly numbers via betti numbers,” in A Journey through Discrete Mathematics: A Tribute to Jiri Matousek, M. Loebl, J. Nešetřil, and R. Thomas, Eds. Springer, 2017, pp. 407–447.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 431 |
D.-A. Alistarh, D. Grubic, J. Li, R. Tomioka, and M. Vojnović, “QSGD: Communication-efficient SGD via gradient quantization and encoding,” presented at the NIPS: Neural Information Processing System, Long Beach, CA, United States, 2017, vol. 2017, pp. 1710–1721.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 432 |
H. Zhang, J. Li, K. Kara, D.-A. Alistarh, J. Liu, and C. Zhang, “ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning,” in Proceedings of Machine Learning Research, Sydney, Australia, 2017, vol. 70, pp. 4035–4043.
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