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6385 Publications


2022 | Published | Conference Paper | IST-REx-ID: 12509 | OA
Avni, G., & Henzinger, T. A. (2022). An updated survey of bidding games on graphs. In 47th International Symposium on Mathematical Foundations of Computer Science (Vol. 241, p. 3:1-3:6). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2022.3
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2022 | Published | Journal Article | IST-REx-ID: 12510 | OA
Gruenbacher, S. A., Lechner, M., Hasani, R., Rus, D., Henzinger, T. A., Smolka, S. A., & Grosu, R. (2022). GoTube: Scalable statistical verification of continuous-depth models. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i6.20631
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12516 | OA
Bogdanov, A., Cueto Noval, M., Hoffmann, C., & Rosen, A. (2022). Public-Key Encryption from Homogeneous CLWE. In Theory of Cryptography (Vol. 13748, pp. 565–592). Chicago, IL, United States: Springer Nature. https://doi.org/10.1007/978-3-031-22365-5_20
[Preprint] View | DOI | Download Preprint (ext.) | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 12536 | OA
Barbier, J., Hou, T., Mondelli, M., & Saenz, M. (2022). The price of ignorance: How much does it cost to forget noise structure in low-rank matrix estimation? In 36th Annual Conference on Neural Information Processing Systems (Vol. 35). New Orleans, LA, United States.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, S., Amani, M. H., & Mondelli, M. (2022). Memorization and optimization in deep neural networks with minimum over-parameterization. In 36th Conference on Neural Information Processing Systems (Vol. 35, pp. 7628–7640). New Orleans, LA, United States: Neural Information Processing Systems Foundation.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 12538 | OA
Amani, M. H., Bombari, S., Mondelli, M., Pukdee, R., & Rini, S. (2022). Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. Mumbai, India: IEEE. https://doi.org/10.1109/ITW54588.2022.9965870
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2022 | Published | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan, R., Kögler, K., & Mondelli, M. (2022). Estimation in rotationally invariant generalized linear models via approximate message passing. In Proceedings of the 39th International Conference on Machine Learning (Vol. 162). Baltimore, MD, United States: ML Research Press.
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2022 | Published | Conference Paper | IST-REx-ID: 12568 | OA
Meggendorfer, T. (2022). Risk-aware stochastic shortest path. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36, pp. 9858–9867). Virtual: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i9.21222
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2022 | Published | Journal Article | IST-REx-ID: 12670 | OA
He, S., & Feng, X. (2022). DNA methylation dynamics during germline development. Journal of Integrative Plant Biology. Wiley. https://doi.org/10.1111/jipb.13422
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2022 | Published | Journal Article | IST-REx-ID: 12671 | OA
Buttress, T., He, S., Wang, L., Zhou, S., Saalbach, G., Vickers, M., … Feng, X. (2022). Histone H2B.8 compacts flowering plant sperm through chromatin phase separation. Nature. Springer Nature. https://doi.org/10.1038/s41586-022-05386-6
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2022 | Submitted | Preprint | IST-REx-ID: 12677 | OA
Chatterjee, K., Mohammadi, M., & Saona Urmeneta, R. J. (n.d.). Repeated prophet inequality with near-optimal bounds. arXiv. https://doi.org/10.48550/ARXIV.2209.14368
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2022 | Published | Journal Article | IST-REx-ID: 12684 | OA
Horesh, T., & Paulin, F. (2022). Effective equidistribution of lattice points in positive characteristic. Journal de Theorie Des Nombres de Bordeaux. Université de Bordeaux. https://doi.org/10.5802/JTNB.1222
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2022 | Published | Conference Paper | IST-REx-ID: 12775 | OA
Grover, K., Kretinsky, J., Meggendorfer, T., & Weininger, M. (2022). Anytime guarantees for reachability in uncountable Markov decision processes. In 33rd International Conference on Concurrency Theory (Vol. 243). Warsaw, Poland: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2022.11
[Published Version] View | Files available | DOI | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 12776 | OA
Browning, T. D. (2022). Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5. New York Journal of Mathematics. State University of New York.
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2022 | Published | Journal Article | IST-REx-ID: 12793 | OA
Yu, H. (2022). A coarse geometric expansion of a variant of Arthur’s truncated traces and some applications. Pacific Journal of Mathematics. Mathematical Sciences Publishers. https://doi.org/10.2140/pjm.2022.321.193
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2022 | Submitted | Preprint | IST-REx-ID: 12860 | OA
Bombari, S., Achille, A., Wang, Z., Wang, Y.-X., Xie, Y., Singh, K. Y., … Soatto, S. (n.d.). Towards differential relational privacy and its use in question answering. arXiv. https://doi.org/10.48550/arXiv.2203.16701
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2022 | Research Data Reference | IST-REx-ID: 13064 | OA
Orliac, E., Trejo Banos, D., Ojavee, S., Läll, K., Mägi, R., Visscher, P., & Robinson, M. R. (2022). Improving genome-wide association discovery and genomic prediction accuracy in biobank data. Dryad. https://doi.org/10.5061/DRYAD.GTHT76HMZ
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2022 | Research Data Reference | IST-REx-ID: 13066 | OA
Koch, E., Ravinet, M., Westram, A. M., Jonannesson, K., & Butlin, R. (2022). Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution. Dryad. https://doi.org/10.5061/DRYAD.M905QFV4B
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2022 | Research Data Reference | IST-REx-ID: 13076 | OA
Postnikova, A., Koval, N., Nadiradze, G., & Alistarh, D.-A. (2022). Multi-queues can be state-of-the-art priority schedulers. Zenodo. https://doi.org/10.5281/ZENODO.5733408
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2022 | Published | Conference Paper | IST-REx-ID: 13239 | OA
Van Der Plas, T. L., Vogels, T. P., & Manohar, S. G. (2022). Predictive learning enables neural networks to learn complex working memory tasks. In Proceedings of Machine Learning Research (Vol. 199, pp. 518–531). ML Research Press.
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