Lake, Russell, Slawomir Simbierowicz, Philip Krantz, Farid Hassani, and Johannes M Fink. The Bluefors Dilution Refrigerator as an Integrated Quantum Measurement System. Helsinki, Finland: Bluefors Oy, 2021.

Grunbacher, Sophie, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A Smolka, and Radu Grosu. “On the Verification of Neural ODEs with Stochastic Guarantees.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:11525–35. AAAI Press, 2021.

Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, and Radu Grosu. “Liquid Time-Constant Networks.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:7657–66. AAAI Press, 2021.

Babaiee, Zahra, Ramin Hasani, Mathias Lechner, Daniela Rus, and Radu Grosu. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” In Proceedings of the 38th International Conference on Machine Learning, 139:478–89. ML Research Press, 2021.

Vorbach, Charles J, Ramin Hasani, Alexander Amini, Mathias Lechner, and Daniela Rus. “Causal Navigation by Continuous-Time Neural Networks.” In 35th Conference on Neural Information Processing Systems, 2021.

Kragl, Bernhard, and Shaz Qadeer. “The Civl Verifier.”https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23__In Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, edited by Piskac Ruzica and Michael W. Whalen, 2:143–152. TU Wien Academic Press, 2021.https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23 .

Polshyn, Hryhoriy, Jihang Zhu, Manish Kumar, Yuxuan Zhang, Fangyuan Yang, Charles Tschirhart, Marec Serlin, et al. “Orbital Chern Insulator States in Twisted Monolayer-Bilayer Graphene and Electrical Switching of Topological and Magnetic Order.” In APS March Meeting 2021, Vol. 66. American Physical Society, 2021.

Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Infinite-Duration All-Pay Bidding Games.”https://doi.org/10.1137/1.9781611976465.38__In Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, edited by Dániel Marx, 617–36. Society for Industrial and Applied Mathematics, 2021.https://doi.org/10.1137/1.9781611976465.38 .

Tomásek, Petr, Karel Horák, Aditya Aradhye, Branislav Bosanský, and Krishnendu Chatterjee. “Solving Partially Observable Stochastic Shortest-Path Games.”https://doi.org/10.24963/ijcai.2021/575__In 30th International Joint Conference on Artificial Intelligence, 4182–89. International Joint Conferences on Artificial Intelligence, 2021.https://doi.org/10.24963/ijcai.2021/575 .

Fedorov, Alexander, Nikita Koval, and Dan-Adrian Alistarh. “A Scalable Concurrent Algorithm for Dynamic Connectivity.”https://doi.org/10.1145/3409964.3461810__In Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 208–20. Association for Computing Machinery, 2021.https://doi.org/10.1145/3409964.3461810 .

Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gasper Tkadik, and Daniele De Martino. “Quantifying the Coexistence of Neuronal Oscillations and Avalanches.”https://doi.org/10.48550/ARXIV.2108.06686__arXiv, n.d.https://doi.org/10.48550/ARXIV.2108.06686 .

Shadel, Gerald S., Peter D. Adams, W. Travis Berggren, Jolene K. Diedrich, Kenneth E. Diffenderfer, Fred H. Gage, Nasun Hah, et al. “The San Diego Nathan Shock Center: Tackling the Heterogeneity of Aging.”https://doi.org/10.1007/s11357-021-00426-x__GeroScience. Springer Nature, 2021.https://doi.org/10.1007/s11357-021-00426-x .

Krishna, Shefali, Rafael Arrojo e Drigo, Juliana S. Capitanio, Ranjan Ramachandra, Mark Ellisman, and Martin Hetzer. “Identification of Long-Lived Proteins in the Mitochondria Reveals Increased Stability of the Electron Transport Chain.”https://doi.org/10.1016/j.devcel.2021.10.008__Developmental Cell. Elsevier, 2021.https://doi.org/10.1016/j.devcel.2021.10.008 .

Kungurtsev, Vyacheslav, Malcolm Egan, Bapi Chatterjee, and Dan-Adrian Alistarh. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” In 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 35:8209–16. AAAI Press, 2021.

Braun, Lukas, and Tim P Vogels. “Online Learning of Neural Computations from Sparse Temporal Feedback.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 20:16437–50. Neural Information Processing Systems Foundation, 2021.

Alimisis, Foivos, Peter Davies, Bart Vandereycken, and Dan-Adrian Alistarh. “Distributed Principal Component Analysis with Limited Communication.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 4:2823–34. Neural Information Processing Systems Foundation, 2021.

Frantar, Elias, Eldar Kurtic, and Dan-Adrian Alistarh. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” In 35th Conference on Neural Information Processing Systems, 34:14873–86. Curran Associates, 2021.

Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” In 35th Conference on Neural Information Processing Systems, 34:7254–66. Curran Associates, 2021.

Schmidt, K. B., J. Kerutt, L. Wisotzki, T. Urrutia, A. Feltre, M. V. Maseda, T. Nanayakkara, et al. “Recovery and Analysis of Rest-Frame UV Emission Lines in 2052 Galaxies Observed with MUSE at 1.5 &; z &; 6.4.”https://doi.org/10.1051/0004-6361/202140876__Astronomy &; Astrophysics. EDP Sciences, 2021.https://doi.org/10.1051/0004-6361/202140876 .

Bacon, R., D. Mary, T. Garel, J. Blaizot, M. Maseda, J. Schaye, L. Wisotzki, et al. “The MUSE Extremely Deep Field: The Cosmic Web in Emission at High Redshift.”https://doi.org/10.1051/0004-6361/202039887__Astronomy &; Astrophysics. EDP Sciences, 2021.https://doi.org/10.1051/0004-6361/202039887 .