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5611 Publications
2018 |
Published |
Journal Article |
IST-REx-ID: 13377 |
Chu, Z., Han, Y., Král, P., & Klajn, R. (2018). “Precipitation on nanoparticles”: Attractive intermolecular interactions stabilize specific ligand ratios on the surfaces of nanoparticles. Angewandte Chemie International Edition. Wiley. https://doi.org/10.1002/anie.201800673
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| PubMed | Europe PMC
2018 |
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Journal Article |
IST-REx-ID: 13379 |
Bléger, D., & Klajn, R. (2018). Integrating macromolecules with molecular switches. Macromolecular Rapid Communications. Wiley. https://doi.org/10.1002/marc.201700827
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2018 |
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Journal Article |
IST-REx-ID: 134 |
Jeschke, S., Skrivan, T., Mueller Fischer, M., Chentanez, N., Macklin, M., & Wojtan, C. (2018). Water surface wavelets. ACM Transactions on Graphics. ACM. https://doi.org/10.1145/3197517.3201336
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2018 |
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Journal Article |
IST-REx-ID: 13473 |
Schootemeijer, A., Götberg, Y. L. L., de Mink, S. E., Gies, D., & Zapartas, E. (2018). Clues about the scarcity of stripped-envelope stars from the evolutionary state of the sdO+Be binary system φ Persei. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/201731194
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| arXiv
2018 |
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Journal Article |
IST-REx-ID: 13474 |
Smith, N., Götberg, Y. L. L., & de Mink, S. E. (2018). Extreme isolation of WN3/O3 stars and implications for their evolutionary origin as the elusive stripped binaries. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stx3181
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| arXiv
2018 |
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Journal Article |
IST-REx-ID: 13475 |
Götberg, Y. L. L., de Mink, S. E., Groh, J. H., Kupfer, T., Crowther, P. A., Zapartas, E., & Renzo, M. (2018). Spectral models for binary products: Unifying subdwarfs and Wolf-Rayet stars as a sequence of stripped-envelope stars. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/201732274
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| arXiv
2018 |
Published |
Journal Article |
IST-REx-ID: 135 |
Sato, T., Wojtan, C., Thuerey, N., Igarashi, T., & Ando, R. (2018). Extended narrow band FLIP for liquid simulations. Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.13351
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2018 |
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Journal Article |
IST-REx-ID: 136 |
Suri, B., Tithof, J., Grigoriev, R., & Schatz, M. (2018). Unstable equilibria and invariant manifolds in quasi-two-dimensional Kolmogorov-like flow. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.98.023105
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| arXiv
2018 |
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IST-REx-ID: 137 |
Zhang, W., Herde, M., Mitchell, J., Whitfield, J., Wulff, A., Vongsouthi, V., … Henneberger, C. (2018). Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. Nature Publishing Group. https://doi.org/10.1038/s41589-018-0108-2
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2018 |
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Journal Article |
IST-REx-ID: 139 |
Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J., & Bierne, N. (2018). The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. PeerJ. https://doi.org/10.7717/peerj.5198
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2018 |
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Journal Article |
IST-REx-ID: 14 |
Hille, S., Akhmanova, M., Glanc, M., Johnson, A. J., & Friml, J. (2018). Relative contribution of PIN-containing secretory vesicles and plasma membrane PINs to the directed auxin transport: Theoretical estimation. International Journal of Molecular Sciences. MDPI. https://doi.org/10.3390/ijms19113566
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2018 |
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Conference Paper |
IST-REx-ID: 140 |
Frehse, G., Giacobbe, M., & Henzinger, T. A. (2018). Space-time interpolants (Vol. 10981, pp. 468–486). Presented at the CAV: Computer Aided Verification, Oxford, United Kingdom: Springer. https://doi.org/10.1007/978-3-319-96145-3_25
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2018 |
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Journal Article |
IST-REx-ID: 14003 |
Baykusheva, D. R., & Wörner, H. J. (2018). Chiral discrimination through bielliptical high-harmonic spectroscopy. Physical Review X. American Physical Society. https://doi.org/10.1103/physrevx.8.031060
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2018 |
Published |
Conference Paper |
IST-REx-ID: 141 |
Chatterjee, K., Henzinger, M. H., Loitzenbauer, V., Oraee, S., & Toman, V. (2018). Symbolic algorithms for graphs and Markov decision processes with fairness objectives (Vol. 10982, pp. 178–197). Presented at the CAV: Computer Aided Verification, Oxford, United Kingdom: Springer. https://doi.org/10.1007/978-3-319-96142-2_13
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2018 |
Published |
Conference Paper |
IST-REx-ID: 14198 |
Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., & Rätsch, G. (2018). SOM-VAE: Interpretable discrete representation learning on time series. In International Conference on Learning Representations. New Orleans, LA, United States.
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| arXiv
2018 |
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Conference Paper |
IST-REx-ID: 142 |
Kong, H., Bartocci, E., & Henzinger, T. A. (2018). Reachable set over-approximation for nonlinear systems using piecewise barrier tubes (Vol. 10981, pp. 449–467). Presented at the CAV: Computer Aided Verification, Oxford, United Kingdom: Springer. https://doi.org/10.1007/978-3-319-96145-3_24
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2018 |
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Conference Paper |
IST-REx-ID: 14201 |
Locatello, F., Khanna, R., Ghosh, J., & Rätsch, G. (2018). Boosting variational inference: An optimization perspective. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472). Playa Blanca, Lanzarote: ML Research Press.
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| arXiv
2018 |
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Conference Paper |
IST-REx-ID: 14202 |
Locatello, F., Dresdner, G., Khanna, R., Valera, I., & Rätsch, G. (2018). Boosting black box variational inference. In Advances in Neural Information Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing Systems Foundation.
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| arXiv
2018 |
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Conference Paper |
IST-REx-ID: 14203 |
Yurtsever, A., Fercoq, O., Locatello, F., & Cevher, V. (2018). A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 5727–5736). Stockholm, Sweden: ML Research Press.
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| arXiv
2018 |
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Conference Paper |
IST-REx-ID: 14204 |
Locatello, F., Raj, A., Karimireddy, S. P., Rätsch, G., Schölkopf, B., Stich, S. U., & Jaggi, M. (2018). On matching pursuit and coordinate descent. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 3198–3207). ML Research Press.
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| arXiv