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5473 Publications

2018 | Published | Journal Article | IST-REx-ID: 134 | OA
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
[Published Version] View | Files available | DOI | WoS
 
2018 | Published | Journal Article | IST-REx-ID: 135 | OA
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
[Submitted Version] View | Files available | DOI | WoS
 
2018 | Published | Journal Article | IST-REx-ID: 136 | OA
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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
2018 | Published | Journal Article | IST-REx-ID: 137 | OA
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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
2018 | Published | Journal Article | IST-REx-ID: 139 | OA
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
[Published Version] View | Files available | DOI | WoS
 
2018 | Published | Journal Article | IST-REx-ID: 14 | OA
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 | Published | Conference Paper | IST-REx-ID: 140 | OA
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 | Published | Conference Paper | IST-REx-ID: 141 | OA
Chatterjee, K., Henzinger, M., 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
[Published Version] View | Files available | DOI | WoS
 
2018 | Published | Conference Paper | IST-REx-ID: 14198 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 142 | OA
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
[Published Version] View | Files available | DOI | WoS
 
2018 | Published | Conference Paper | IST-REx-ID: 14201 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 14202 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 14203 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 14204 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 14224 | OA
Locatello, F., Vincent, D., Tolstikhin, I., Ratsch, G., Gelly, S., & Scholkopf, B. (2018). Clustering meets implicit generative models. In 6th International Conference on Learning Representations. Vancouver, Canada.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 143 | OA
Brázdil, T., Chatterjee, K., Kučera, A., Novotný, P., Velan, D., & Zuleger, F. (2018). Efficient algorithms for asymptotic bounds on termination time in VASS (Vol. F138033, pp. 185–194). Presented at the LICS: Logic in Computer Science, Oxford, United Kingdom: IEEE. https://doi.org/10.1145/3209108.3209191
[Preprint] View | DOI | Download Preprint (ext.) | WoS
 
2018 | Submitted | Preprint | IST-REx-ID: 14327 | OA
Locatello, F., Vincent, D., Tolstikhin, I., Rätsch, G., Gelly, S., & Schölkopf, B. (n.d.). Competitive training of mixtures of independent deep generative models. arXiv. https://doi.org/10.48550/arXiv.1804.11130
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 144
Ferrere, T., Henzinger, T. A., & Saraç, E. (2018). A theory of register monitors (Vol. Part F138033, pp. 394–403). Presented at the LICS: Logic in Computer Science, Oxford, UK: IEEE. https://doi.org/10.1145/3209108.3209194
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2018 | Published | Journal Article | IST-REx-ID: 145 | OA
Truckenbrodt, S. M., Viplav, A., Jähne, S., Vogts, A., Denker, A., Wildhagen, H., … Rizzoli, S. (2018). Newly produced synaptic vesicle proteins are preferentially used in synaptic transmission. The EMBO Journal. Wiley. https://doi.org/10.15252/embj.201798044
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2018 | Published | Journal Article | IST-REx-ID: 146 | OA
Shi, C. L., von Wangenheim, D., Herrmann, U., Wildhagen, M., Kulik, I., Kopf, A., … Aalen, R. B. (2018). The dynamics of root cap sloughing in Arabidopsis is regulated by peptide signalling. Nature Plants. Nature Publishing Group. https://doi.org/10.1038/s41477-018-0212-z
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

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