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5182 Publications
2021 |Published| Journal Article | IST-REx-ID: 10535 |
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Bodova, K., Szep, E., & Barton, N. H. (2021). Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1009661
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2021 |Published| Conference Paper | IST-REx-ID: 10552 |
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Kolmogorov, V., & Pock, T. (2021). One-sided Frank-Wolfe algorithms for saddle problems. In 38th International Conference on Machine Learning. Virtual.
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2021 |Published| Conference Paper | IST-REx-ID: 10595 |
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Nguyen, Q., Mondelli, M., & Montufar, G. F. (2021). Tight bounds on the smallest eigenvalue of the neural tangent kernel for deep ReLU networks. In M. Meila & T. Zhang (Eds.), Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 8119–8129). Virtual: ML Research Press.
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2021 |Published| Conference Paper | IST-REx-ID: 10599 |
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Hashemi, S. A., Mondelli, M., Cioffi, J., & Goldsmith, A. (2021). Successive syndrome-check decoding of polar codes. In Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers (Vol. 2021–October, pp. 943–947). Virtual, Pacific Grove, CA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEEECONF53345.2021.9723394
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2021 |Published| Journal Article | IST-REx-ID: 10613 |
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Chen, J. P., & Sau, F. (2021). Higher-order hydrodynamics and equilibrium fluctuations of interacting particle systems. Markov Processes And Related Fields. Polymat Publishing.
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2021 |Published| Conference Paper | IST-REx-ID: 10630 |
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Arrighi, E., Fernau, H., Hoffmann, S., Holzer, M., Jecker, I. R., De Oliveira Oliveira, M., & Wolf, P. (2021). On the complexity of intersection non-emptiness for star-free language classes. In 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (Vol. 213). Virtual: Schloss Dagstuhl - Leibniz Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FSTTCS.2021.34
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2021 |Published| Conference Paper | IST-REx-ID: 10629 |
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Chatterjee, K., Ibsen-Jensen, R., & Pavlogiannis, A. (2021). Quantitative verification on product graphs of small treewidth. In 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (Vol. 213). Virtual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FSTTCS.2021.42
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2021 |Published| Journal Article | IST-REx-ID: 10635 |
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Nardin, M., Phillips, J. W., Podlaski, W. F., & Keemink, S. W. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. Peer Community Journal. Centre Mersenne ; Peer Community In. https://doi.org/10.24072/pcjournal.69
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2021 |Published| Other Publication | IST-REx-ID: 10645 |
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Simbierowicz, S., Shi, C., Collodo, M., Kirste, M., Hassani, F., Fink, J. M., … Lake, R. (2021). Qubit energy-relaxation statistics in the Bluefors quantum measurement system. Helsinki, Finland: Bluefors Oy.
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2021 |Published| Other Publication | IST-REx-ID: 10644 |
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Lake, R., Simbierowicz, S., Krantz, P., Hassani, F., & Fink, J. M. (2021). The Bluefors dilution refrigerator as an integrated quantum measurement system. Helsinki, Finland: Bluefors Oy.
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2021 |Published| Conference Paper | IST-REx-ID: 10669 |
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Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., & Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 11525–11535). Virtual: AAAI Press.
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2021 |Published| Conference Paper | IST-REx-ID: 10671 |
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Hasani, R., Lechner, M., Amini, A., Rus, D., & Grosu, R. (2021). Liquid time-constant networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 7657–7666). Virtual: AAAI Press.
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2021 |Published| Conference Paper | IST-REx-ID: 10668 |
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Babaiee, Z., Hasani, R., Lechner, M., Rus, D., & Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 478–489). Virtual: ML Research Press.
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2021 |Published| Conference Paper | IST-REx-ID: 10670 |
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Vorbach, C. J., Hasani, R., Amini, A., Lechner, M., & Rus, D. (2021). Causal navigation by continuous-time neural networks. In 35th Conference on Neural Information Processing Systems. Virtual.
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2021 |Published| Conference Paper | IST-REx-ID: 10688 |
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Kragl, B., & Qadeer, S. (2021). The Civl verifier. In P. Ruzica & M. W. Whalen (Eds.), Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design (Vol. 2, pp. 143–152). Virtual: TU Wien Academic Press. https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23
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2021 |Published| Conference Paper | IST-REx-ID: 10694 |
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Avni, G., Jecker, I. R., & Zikelic, D. (2021). Infinite-duration all-pay bidding games. In D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (pp. 617–636). Virtual: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611976465.38
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2021 |Published| Conference Paper | IST-REx-ID: 10847 |
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Tomášek, P., Horák, K., Aradhye, A., Bošanský, B., & Chatterjee, K. (2021). Solving partially observable stochastic shortest-path games. In 30th International Joint Conference on Artificial Intelligence (pp. 4182–4189). Virtual, Online: International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2021/575
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2021 |Published| Conference Paper | IST-REx-ID: 10853 |
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Fedorov, A., Koval, N., & Alistarh, D.-A. (2021). A scalable concurrent algorithm for dynamic connectivity. In Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures (pp. 208–220). Virtual, Online: Association for Computing Machinery. https://doi.org/10.1145/3409964.3461810
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2021 |Submitted| Preprint | IST-REx-ID: 10912 |
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Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv. https://doi.org/10.48550/ARXIV.2108.06686
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2021 |Published| Conference Paper | IST-REx-ID: 11436 |
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Kungurtsev, V., Egan, M., Chatterjee, B., & Alistarh, D.-A. (2021). Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 35, pp. 8209–8216). Virtual, Online: AAAI Press.
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