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5735 Publications
2020 | Published | Conference Paper | IST-REx-ID: 8725 | 
Aksenov, Vitaly, Dan-Adrian Alistarh, Alexandra Drozdova, and Amirkeivan Mohtashami. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” In 34th International Symposium on Distributed Computing, 179:3:1-3:18. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.DISC.2020.3.
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2020 | Published | Conference Paper | IST-REx-ID: 8722 |
Li, Shigang, Tal Ben-Nun Tal Ben-Nun, Salvatore Di Girolamo, Dan-Adrian Alistarh, and Torsten Hoefler. “Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations.” In Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 45–61. Association for Computing Machinery, 2020. https://doi.org/10.1145/3332466.3374528.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7636 |
Brown, Trevor A, Aleksandar Prokopec, and Dan-Adrian Alistarh. “Non-Blocking Interpolation Search Trees with Doubly-Logarithmic Running Time.” In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 276–91. Association for Computing Machinery, 2020. https://doi.org/10.1145/3332466.3374542.
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2020 | Published | Conference Paper | IST-REx-ID: 15086 |
Faghri, Fartash , Iman Tabrizian, Ilia Markov, Dan-Adrian Alistarh, Daniel Roy, and Ali Ramezani-Kebrya. “Adaptive Gradient Quantization for Data-Parallel SGD.” In Advances in Neural Information Processing Systems, Vol. 33. Neural Information Processing Systems Foundation, 2020.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8272 |
Chatterjee, Krishnendu, Joost P Katoen, Maximilian Weininger, and Tobias Winkler. “Stochastic Games with Lexicographic Reachability-Safety Objectives.” In International Conference on Computer Aided Verification, 12225:398–420. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-53291-8_21.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7955 |
Ashok, Pranav, Approximating values of generalized-reachability stochastic games. Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science . 2020
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 10673 |
Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, and Radu Grosu. “A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits.” In Proceedings of the 37th International Conference on Machine Learning, 4082–93. PMLR, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 10672 |
Lechner, Mathias. “Learning Representations for Binary-Classification without Backpropagation.” In 8th International Conference on Learning Representations. ICLR, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 8623 |
Henzinger, Thomas A, and Naci E Sarac. “Monitorability under Assumptions.” In Runtime Verification, 12399:3–18. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-60508-7_1.
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2020 | Published | Conference Paper | IST-REx-ID: 9103 |
Gruenbacher, Sophie, Jacek Cyranka, Mathias Lechner, Md Ariful Islam, Scott A. Smolka, and Radu Grosu. “Lagrangian Reachtubes: The next Generation.” In Proceedings of the 59th IEEE Conference on Decision and Control, 2020:1556–63. IEEE, 2020. https://doi.org/10.1109/CDC42340.2020.9304042.
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2020 | Published | Conference Paper | IST-REx-ID: 9202 |
Garcia Soto, Miriam, and Pavithra Prabhakar. “Hybridization for Stability Verification of Nonlinear Switched Systems.” In 2020 IEEE Real-Time Systems Symposium, 244–56. IEEE, 2020. https://doi.org/10.1109/RTSS49844.2020.00031.
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2020 | Published | Journal Article | IST-REx-ID: 8679
Lechner, Mathias, Ramin Hasani, Alexander Amini, Thomas A Henzinger, Daniela Rus, and Radu Grosu. “Neural Circuit Policies Enabling Auditable Autonomy.” Nature Machine Intelligence. Springer Nature, 2020. https://doi.org/10.1038/s42256-020-00237-3.
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2020 | Published | Conference Paper | IST-REx-ID: 8012 |
Kragl, Bernhard, Constantin Enea, Thomas A Henzinger, Suha Orhun Mutluergil, and Shaz Qadeer. “Inductive Sequentialization of Asynchronous Programs.” In Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, 227–42. Association for Computing Machinery, 2020. https://doi.org/10.1145/3385412.3385980.
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2020 | Published | Conference Paper | IST-REx-ID: 8195 |
Kragl, Bernhard, Shaz Qadeer, and Thomas A Henzinger. “Refinement for Structured Concurrent Programs.” In Computer Aided Verification, 12224:275–98. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-53288-8_14.
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2020 | Published | Conference Paper | IST-REx-ID: 8194 |
Baranowski, Marek, Shaobo He, Mathias Lechner, Thanh Son Nguyen, and Zvonimir Rakamarić. “An SMT Theory of Fixed-Point Arithmetic.” In Automated Reasoning, 12166:13–31. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-51074-9_2.
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2020 | Published | Conference Paper | IST-REx-ID: 8704 |
Lechner, Mathias, Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme. Proceedings - IEEE International Conference on Robotics and Automation. 2020
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2020 | Published | Conference Paper | IST-REx-ID: 9040 |
Alamdari, Par Alizadeh, Formal methods with a touch of magic. Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design. 2020
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2020 | Published | Conference Paper | IST-REx-ID: 8599 |
Avni, Guy, A survey of bidding games on graphs. 31st International Conference on Concurrency Theory 171. 2020
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2020 | Published | Journal Article | IST-REx-ID: 15055 |
Brázdil, Tomáš, Krishnendu Chatterjee, Petr Novotný, and Jiří Vahala. “Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes.” Proceedings of the 34th AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 2020. https://doi.org/10.1609/aaai.v34i06.6531.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8324 |
Wang, Peixin, Hongfei Fu, Krishnendu Chatterjee, Yuxin Deng, and Ming Xu. “Proving Expected Sensitivity of Probabilistic Programs with Randomized Variable-Dependent Termination Time.” In Proceedings of the ACM on Programming Languages, Vol. 4. ACM, 2020. https://doi.org/10.1145/3371093.
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