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138 Publications

2020 |Published| Conference Paper | IST-REx-ID: 7213 | OA
Bhatia, Sumit, Bapi Chatterjee, Deepak Nathani, and Manohar Kaul. “A Persistent Homology Perspective to the Link Prediction Problem.” In Complex Networks and Their Applications VIII, 881:27–39. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-36687-2_3.
[Submitted Version] View | Files available | DOI | WoS
 
2020 |Published| Conference Paper | IST-REx-ID: 7802 | OA
Czumaj, Artur, Peter Davies, and Merav Parter. “Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space.” In Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020), 175–85. Association for Computing Machinery, 2020. https://doi.org/10.1145/3350755.3400282.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 |Published| Conference Paper | IST-REx-ID: 7636 | OA
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.
[Published Version] View | DOI | Download Published Version (ext.) | WoS
 
2020 |Published| Conference Paper | IST-REx-ID: 8191
Alistarh, Dan-Adrian, Trevor A Brown, and Nandini Singhal. “Memory Tagging: Minimalist Synchronization for Scalable Concurrent Data Structures.” In Annual ACM Symposium on Parallelism in Algorithms and Architectures, 37–49. Association for Computing Machinery, 2020. https://doi.org/10.1145/3350755.3400213.
View | DOI | WoS
 
2020 |Published| Conference Paper | IST-REx-ID: 7635
Koval, Nikita, Mariia Sokolova, Alexander Fedorov, Dan-Adrian Alistarh, and Dmitry Tsitelov. “Testing Concurrency on the JVM with Lincheck.” In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 423–24. Association for Computing Machinery, 2020. https://doi.org/10.1145/3332466.3374503.
View | DOI
 
2020 |Published| Conference Paper | IST-REx-ID: 8383
Alistarh, Dan-Adrian, James Aspnes, Faith Ellen, Rati Gelashvili, and Leqi Zhu. “Brief Announcement: Why Extension-Based Proofs Fail.” In Proceedings of the 39th Symposium on Principles of Distributed Computing, 54–56. Association for Computing Machinery, 2020. https://doi.org/10.1145/3382734.3405743.
View | DOI
 
2020 |Published| Conference Paper | IST-REx-ID: 15074 | OA
Brandt, Sebastian, Barbara Keller, Joel Rybicki, Jukka Suomela, and Jara Uitto. “Brief Announcement: Efficient Load-Balancing through Distributed Token Dropping.” In 34th International Symposium on Distributed Computing, Vol. 179. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.DISC.2020.40.
[Published Version] View | Files available | DOI | arXiv
 
2020 |Published| Conference Paper | IST-REx-ID: 15086 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 |Published| Conference Paper | IST-REx-ID: 15077 | OA
Alistarh, Dan-Adrian, Giorgi Nadiradze, and Amirmojtaba Sabour. “Dynamic Averaging Load Balancing on Cycles.” In 47th International Colloquium on Automata, Languages, and Programming, Vol. 168. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. https://doi.org/10.4230/LIPIcs.ICALP.2020.7.
[Published Version] View | Files available | DOI | arXiv
 
2020 |Published| Conference Paper | IST-REx-ID: 9198 | OA
Shevchenko, Aleksandr, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In Proceedings of the 37th International Conference on Machine Learning, 119:8773–84. ML Research Press, 2020.
[Published Version] View | Files available | arXiv
 

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