Simbierowicz, Slawomir, et al. Qubit Energy-Relaxation Statistics in the Bluefors Quantum Measurement System. Bluefors Oy, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10645

Lake, Russell, et al. The Bluefors Dilution Refrigerator as an Integrated Quantum Measurement System. Bluefors Oy, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10644

Grunbacher, Sophie, et al. “On the Verification of Neural ODEs with Stochastic Guarantees.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 13, AAAI Press, 2021, pp. 11525–35.
LibreCat: https://research-explorer.ista.ac.at/record/10669
arXiv: 2012.08863

Hasani, Ramin, et al. “Liquid Time-Constant Networks.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 9, AAAI Press, 2021, pp. 7657–66.
LibreCat: https://research-explorer.ista.ac.at/record/10671
arXiv: 2006.04439

Babaiee, Zahra, et al. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 478–89.
LibreCat: https://research-explorer.ista.ac.at/record/10668

Vorbach, Charles J., et al. “Causal Navigation by Continuous-Time Neural Networks.” 35th Conference on Neural Information Processing Systems, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10670
arXiv: 2106.08314

Kragl, Bernhard, and Shaz Qadeer. “The Civl Verifier.”10.34727/2021/isbn.978-3-85448-046-4_23__Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, edited by Piskac Ruzica and Michael W. Whalen, vol. 2, TU Wien Academic Press, 2021, pp. 143–152, doi:10.34727/2021/isbn.978-3-85448-046-4_23.
LibreCat: https://research-explorer.ista.ac.at/record/10688
DOI: 10.34727/2021/isbn.978-3-85448-046-4_23

Polshyn, Hryhoriy, et al. “Orbital Chern Insulator States in Twisted Monolayer-Bilayer Graphene and Electrical Switching of Topological and Magnetic Order.” APS March Meeting 2021, vol. 66, no. 1, .00010, American Physical Society, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/10692

Avni, Guy, et al. “Infinite-Duration All-Pay Bidding Games.”10.1137/1.9781611976465.38__Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, edited by Dániel Marx, Society for Industrial and Applied Mathematics, 2021, pp. 617–36, doi:10.1137/1.9781611976465.38.
LibreCat: https://research-explorer.ista.ac.at/record/10694
DOI: 10.1137/1.9781611976465.38
arXiv: 2005.06636

Tomásek, Petr, et al. “Solving Partially Observable Stochastic Shortest-Path Games.”10.24963/ijcai.2021/575__30th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 4182–89, doi:10.24963/ijcai.2021/575.
LibreCat: https://research-explorer.ista.ac.at/record/10847
DOI: 10.24963/ijcai.2021/575

Fedorov, Alexander, et al. “A Scalable Concurrent Algorithm for Dynamic Connectivity.”10.1145/3409964.3461810__Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2021, pp. 208–20, doi:10.1145/3409964.3461810.
LibreCat: https://research-explorer.ista.ac.at/record/10853
DOI: 10.1145/3409964.3461810
arXiv: 2105.08098

Lombardi, Fabrizio, et al. Quantifying the Coexistence of Neuronal Oscillations and Avalanches. arXiv, doi:10.48550/ARXIV.2108.06686.
LibreCat: https://research-explorer.ista.ac.at/record/10912
DOI: 10.48550/ARXIV.2108.06686
arXiv: 2108.06686

Shadel, Gerald S., et al. “The San Diego Nathan Shock Center: Tackling the Heterogeneity of Aging.”10.1007/s11357-021-00426-x__GeroScience, vol. 43, no. 5, Springer Nature, 2021, pp. 2139–48, doi:10.1007/s11357-021-00426-x.
LibreCat: https://research-explorer.ista.ac.at/record/11053
DOI: 10.1007/s11357-021-00426-x
PMID: 34370163

Kungurtsev, Vyacheslav, et al. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 35, no. 9B, AAAI Press, 2021, pp. 8209–16.
LibreCat: https://research-explorer.ista.ac.at/record/11436
arXiv: 1905.11845

Braun, Lukas, and Tim P. Vogels. “Online Learning of Neural Computations from Sparse Temporal Feedback.” Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, vol. 20, Neural Information Processing Systems Foundation, 2021, pp. 16437–50.
LibreCat: https://research-explorer.ista.ac.at/record/11453

Alimisis, Foivos, et al. “Distributed Principal Component Analysis with Limited Communication.” Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, vol. 4, Neural Information Processing Systems Foundation, 2021, pp. 2823–34.
LibreCat: https://research-explorer.ista.ac.at/record/11452
arXiv: 2110.14391

Frantar, Elias, et al. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 14873–86.
LibreCat: https://research-explorer.ista.ac.at/record/11463
arXiv: 2010.08222

Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 7254–66.
LibreCat: https://research-explorer.ista.ac.at/record/11464
arXiv: 2010.08222

Schmidt, K. B., et al. “Recovery and Analysis of Rest-Frame UV Emission Lines in 2052 Galaxies Observed with MUSE at 1.5 &; z &; 6.4.”10.1051/0004-6361/202140876__Astronomy &; Astrophysics, vol. 654, , EDP Sciences, 2021, doi:10.1051/0004-6361/202140876.
LibreCat: https://research-explorer.ista.ac.at/record/11498
DOI: 10.1051/0004-6361/202140876
arXiv: 2108.01713

Bacon, R., et al. “The MUSE Extremely Deep Field: The Cosmic Web in Emission at High Redshift.”10.1051/0004-6361/202039887__Astronomy &; Astrophysics, vol. 647, 7, EDP Sciences, 2021, doi:10.1051/0004-6361/202039887.
LibreCat: https://research-explorer.ista.ac.at/record/11500
DOI: 10.1051/0004-6361/202039887
arXiv: 2102.05516