Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
144 Publications
2020 | Published | Conference Paper | IST-REx-ID: 8383
Alistarh, Dan-Adrian, et al. “Brief Announcement: Why Extension-Based Proofs Fail.” Proceedings of the 39th Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2020, pp. 54–56, doi:10.1145/3382734.3405743.
View
| DOI
2020 | Published | Conference Paper | IST-REx-ID: 7213 |

Bhatia, Sumit, et al. “A Persistent Homology Perspective to the Link Prediction Problem.” Complex Networks and Their Applications VIII, vol. 881, Springer Nature, 2020, pp. 27–39, doi:10.1007/978-3-030-36687-2_3.
[Submitted Version]
View
| Files available
| DOI
| WoS
2020 | Published | Journal Article | IST-REx-ID: 7224 |

Rybicki, Joel, et al. “Habitat Fragmentation and Species Diversity in Competitive Communities.” Ecology Letters, vol. 23, no. 3, Wiley, 2020, pp. 506–17, doi:10.1111/ele.13450.
[Published Version]
View
| Files available
| DOI
| WoS
2020 | Published | Conference Paper | IST-REx-ID: 7272 |

Arbel-Raviv, Maya, et al. “Getting to the Root of Concurrent Binary Search Tree Performance.” Proceedings of the 2018 USENIX Annual Technical Conference, USENIX Association, 2020, pp. 295–306.
[Published Version]
View
| Download Published Version (ext.)
2020 | Published | Conference Paper | IST-REx-ID: 8724 |

Konstantinov, Nikola H., et al. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 5416–25.
[Published Version]
View
| Files available
| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9198 |

Shevchenko, Aleksandr, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 8773–84.
[Published Version]
View
| Files available
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6673 |

Alistarh, Dan-Adrian, et al. “Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers.” 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM Press, 2019, pp. 145–54, doi:10.1145/3323165.3323201.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Published | Conference Poster | IST-REx-ID: 6485
Koval, Nikita, et al. “Lock-Free Channels for Programming via Communicating Sequential Processes.” Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming, ACM, 2019, pp. 417–18, doi:10.1145/3293883.3297000.
View
| DOI
| WoS
2019 | Published | Conference Paper | IST-REx-ID: 5947 |

Chatterjee, Bapi, et al. “A Simple and Practical Concurrent Non-Blocking Unbounded Graph with Linearizable Reachability Queries.” ACM International Conference Proceeding Series, ACM, 2019, pp. 168–77, doi:10.1145/3288599.3288617.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7437 |

Yu, Chen, et al. “Distributed Learning over Unreliable Networks.” 36th International Conference on Machine Learning, ICML 2019, vol. 2019–June, IMLS, 2019, pp. 12481–512.
[Preprint]
View
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7542 |

Wendler, Chris, et al. Powerset Convolutional Neural Networks. Vol. 32, Neural Information Processing Systems Foundation, 2019, pp. 927–38.
[Published Version]
View
| Download Published Version (ext.)
| WoS
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6676 |

Alistarh, Dan-Adrian, et al. “Why Extension-Based Proofs Fail.” Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, ACM Press, 2019, pp. 986–96, doi:10.1145/3313276.3316407.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6931 |

Nowak, Thomas, and Joel Rybicki. “Byzantine Approximate Agreement on Graphs.” 33rd International Symposium on Distributed Computing, vol. 146, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, p. 29:1--29:17, doi:10.4230/LIPICS.DISC.2019.29.
[Published Version]
View
| Files available
| DOI
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6933 |

Censor-Hillel, Keren, et al. “Fast Approximate Shortest Paths in the Congested Clique.” Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin, ACM, 2019, pp. 74–83, doi:10.1145/3293611.3331633.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6935 |

Foerster, Klaus-Tycho, et al. “Does Preprocessing Help under Congestion?” Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, ACM, 2019, pp. 259–61, doi:10.1145/3293611.3331581.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6936 |

Ovaskainen, Otso, et al. “What Can Observational Data Reveal about Metacommunity Processes?” Ecography, vol. 42, no. 11, Wiley, 2019, pp. 1877–86, doi:10.1111/ecog.04444.
[Published Version]
View
| Files available
| DOI
| WoS
2019 | Published | Journal Article | IST-REx-ID: 6972 |

Lenzen, Christoph, and Joel Rybicki. “Self-Stabilising Byzantine Clock Synchronisation Is Almost as Easy as Consensus.” Journal of the ACM, vol. 66, no. 5, 32, ACM, 2019, doi:10.1145/3339471.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7122
Khirirat, Sarit, et al. “Gradient Compression for Communication-Limited Convex Optimization.” 2018 IEEE Conference on Decision and Control, 8619625, IEEE, 2019, doi:10.1109/cdc.2018.8619625.
View
| DOI
| WoS
2019 | Published | Conference Paper | IST-REx-ID: 7201 |

Renggli, Cedric, et al. “SparCML: High-Performance Sparse Communication for Machine Learning.” International Conference for High Performance Computing, Networking, Storage and Analysis, SC, a11, ACM, 2019, doi:10.1145/3295500.3356222.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Published | Journal Article | IST-REx-ID: 7214 |

Aganezov, Sergey, et al. “Recovering Rearranged Cancer Chromosomes from Karyotype Graphs.” BMC Bioinformatics, vol. 20, 641, BMC, 2019, doi:10.1186/s12859-019-3208-4.
[Published Version]
View
| Files available
| DOI
| WoS