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5954 Publications

2019 | Published | Conference Paper | IST-REx-ID: 6490 | OA
Chatterjee, K., Goharshady, A. K., & Goharshady, E. K. (2019). The treewidth of smart contracts. In Proceedings of the 34th ACM Symposium on Applied Computing (Vol. Part F147772, pp. 400–408). Limassol, Cyprus: ACM. https://doi.org/10.1145/3297280.3297322
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2019 | Published | Journal Article | IST-REx-ID: 7158 | OA
Chatterjee, K., Goharshady, A. K., Goyal, P., Ibsen-Jensen, R., & Pavlogiannis, A. (2019). Faster algorithms for dynamic algebraic queries in basic RSMs with constant treewidth. ACM Transactions on Programming Languages and Systems. ACM. https://doi.org/10.1145/3363525
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2019 | Published | Conference Paper | IST-REx-ID: 6175 | OA
Wang, P., Fu, H., Goharshady, A. K., Chatterjee, K., Qin, X., & Shi, W. (2019). Cost analysis of nondeterministic probabilistic programs. In PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (pp. 204–220). Phoenix, AZ, United States: Association for Computing Machinery. https://doi.org/10.1145/3314221.3314581
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
2019 | Published | Journal Article | IST-REx-ID: 7014 | OA
Chatterjee, K., Fu, H., & Goharshady, A. K. (2019). Non-polynomial worst-case analysis of recursive programs. ACM Transactions on Programming Languages and Systems. ACM. https://doi.org/10.1145/3339984
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Published | Journal Article | IST-REx-ID: 6380 | OA
Chatterjee, K., Goharshady, A. K., Okati, N., & Pavlogiannis, A. (2019). Efficient parameterized algorithms for data packing. Proceedings of the ACM on Programming Languages. ACM. https://doi.org/10.1145/3290366
[Published Version] View | Files available | DOI
 
2019 | Published | Conference Paper | IST-REx-ID: 6056 | OA
Chatterjee, K., Goharshady, A. K., & Pourdamghani, A. (2019). Probabilistic smart contracts: Secure randomness on the blockchain. In IEEE International Conference on Blockchain and Cryptocurrency. Seoul, Korea: IEEE. https://doi.org/10.1109/BLOC.2019.8751326
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Published | Journal Article | IST-REx-ID: 6627 | OA
Adamowski, M., Li, L., & Friml, J. (2019). Reorientation of cortical microtubule arrays in the hypocotyl of arabidopsis thaliana is induced by the cell growth process and independent of auxin signaling. International Journal of Molecular Sciences. MDPI. https://doi.org/10.3390/ijms20133337
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2018 | Published | Journal Article | IST-REx-ID: 132 | OA
Sznurkowska, M., Hannezo, E. B., Azzarelli, R., Rulands, S., Nestorowa, S., Hindley, C., … Simons, B. (2018). Defining lineage potential and fate behavior of precursors during pancreas development. Developmental Cell. Cell Press. https://doi.org/10.1016/j.devcel.2018.06.028
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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: 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
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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: 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 | 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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