Hensel, Sebastian. “Curvature Driven Interface Evolution: Uniqueness Properties of Weak Solution Concepts.”https://doi.org/10.15479/at:ista:10007__Institute of Science and Technology Austria, 2021.https://doi.org/10.15479/at:ista:10007 .
LibreCat: https://research-explorer.ista.ac.at/record/10007
DOI: 10.15479/at:ista:10007

Bui, Truc Lam, Krishnendu Chatterjee, Tushar Gautam, Andreas Pavlogiannis, and Viktor Toman. “The Reads-from Equivalence for the TSO and PSO Memory Models.”https://doi.org/10.1145/3485541__Proceedings of the ACM on Programming Languages. Association for Computing Machinery, 2021.https://doi.org/10.1145/3485541 .
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arXiv: 2011.11763

Hensel, Sebastian, and Tim Laux. “Weak-Strong Uniqueness for the Mean Curvature Flow of Double Bubbles.”https://doi.org/10.48550/arXiv.2108.01733__ArXiv, n.d.https://doi.org/10.48550/arXiv.2108.01733 .
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DOI: 10.48550/arXiv.2108.01733
arXiv: 2108.01733

Peruzzo, Matilda, Farid Hassani, Gregory Szep, Andrea Trioni, Elena Redchenko, Martin Zemlicka, and Johannes M Fink. “Geometric Superinductance Qubits: Controlling Phase Delocalization across a Single Josephson Junction.”https://doi.org/10.1103/PRXQuantum.2.040341__PRX Quantum. American Physical Society, 2021.https://doi.org/10.1103/PRXQuantum.2.040341 .
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arXiv: 2106.05882

Portinale, Lorenzo. “Discrete-to-Continuum Limits of Transport Problems and Gradient Flows in the Space of Measures.”https://doi.org/10.15479/at:ista:10030__Institute of Science and Technology Austria, 2021.https://doi.org/10.15479/at:ista:10030 .
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Peruzzo, Matilda. “Geometric Superinductors and Their Applications in Circuit Quantum Electrodynamics.”https://doi.org/10.15479/at:ista:9920__Institute of Science and Technology Austria, 2021.https://doi.org/10.15479/at:ista:9920 .
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Nadiradze, Giorgi, Ilia Markov, Bapi Chatterjee, Vyacheslav  Kungurtsev, and Dan-Adrian Alistarh. “Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:9037–45, 2021.
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arXiv: 2001.05918

Kamath Hosdurg, Chethan, Karen Klein, Krzysztof Z Pietrzak, and Daniel Wichs. “Limits on the Adaptive Security of Yao’s Garbling.”https://doi.org/10.1007/978-3-030-84245-1_17__In 41st Annual International Cryptology Conference, Part II , 12826:486–515. Cham: Springer Nature, 2021.https://doi.org/10.1007/978-3-030-84245-1_17 .
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DOI: 10.1007/978-3-030-84245-1_17

Klein, Karen, Guillermo Pascual Perez, Michael Walter, Chethan Kamath Hosdurg, Margarita Capretto, Miguel Cueto Noval, Ilia Markov, Michelle X Yeo, Joel F Alwen, and Krzysztof Z Pietrzak. “Keep the Dirt: Tainted TreeKEM, Adaptively and Actively Secure Continuous Group Key Agreement.”https://doi.org/10.1109/sp40001.2021.00035__In 2021 IEEE Symposium on Security and Privacy , 268–84. IEEE, 2021.https://doi.org/10.1109/sp40001.2021.00035 .
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DOI: 10.1109/sp40001.2021.00035

Kamath Hosdurg, Chethan, Karen Klein, and Krzysztof Z Pietrzak. “On Treewidth, Separators and Yao’s Garbling.” In 19th Theory of Cryptography Conference 2021. International Association for Cryptologic Research, 2021.
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Piankov, Anton. “Towards Designer Materials Using Customizable Particle Shape.”https://doi.org/10.15479/at:ista:10422__Institute of Science and Technology Austria, 2021.https://doi.org/10.15479/at:ista:10422 .
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Konstantinov, Nikola H, and Christoph Lampert. “Fairness through Regularization for Learning to Rank.”https://doi.org/10.48550/arXiv.2102.05996__ArXiv, n.d.https://doi.org/10.48550/arXiv.2102.05996 .
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arXiv: 2102.05996

Rzadkowski, Wojciech, Mikhail Lemeshko, and Johan H. Mentink. “Artificial Neural Network States for Non-Additive Systems.”https://doi.org/10.48550/arXiv.2105.15193__ArXiv, n.d.https://doi.org/10.48550/arXiv.2105.15193 .
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DOI: 10.48550/arXiv.2105.15193
arXiv: 2105.15193

Phuong, Mary. “Underspecification in Deep Learning.”https://doi.org/10.15479/AT:ISTA:9418__Institute of Science and Technology Austria, 2021.https://doi.org/10.15479/AT:ISTA:9418 .
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DOI: 10.15479/AT:ISTA:9418

Träuble, Frederik, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, and Stefan Bauer. “On Disentangled Representations Learned from Correlated Data.” In Proceedings of the 38th International Conference on Machine Learning, 139:10401–12. ML Research Press, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/14177
arXiv: 2006.07886

Yèche, Hugo, Gideon Dresdner, Francesco Locatello, Matthias Hüser, and Gunnar Rätsch. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” In Proceedings of 38th International Conference on Machine Learning, 139:11964–74. ML Research Press, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/14176
arXiv: 2106.05142

Träuble, Frederik, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, and Peter Gehler. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” In 35th Conference on Neural Information Processing Systems, 34:116–28, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/14182
arXiv: 2107.01057

Dresdner, Gideon, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, and Gunnar Rätsch. “Boosting Variational Inference with Locally Adaptive Step-Sizes.”https://doi.org/10.24963/ijcai.2021/322__In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2337–43. International Joint Conferences on Artificial Intelligence, 2021.https://doi.org/10.24963/ijcai.2021/322 .
LibreCat: https://research-explorer.ista.ac.at/record/14181
DOI: 10.24963/ijcai.2021/322
arXiv: 2105.09240

Kügelgen, Julius von, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, and Francesco Locatello. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” In Advances in Neural Information Processing Systems, 34:16451–67, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/14179
arXiv: 2106.04619

Rahaman, Nasim, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, and Bernhard Schölkopf. “Dynamic Inference with Neural Interpreters.” In Advances in Neural Information Processing Systems, 34:10985–98, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/14180
arXiv: 2110.06399