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6023 Publications
2024 | Draft | Preprint | IST-REx-ID: 17350 |
Pedrotti, Francesco, Jan Maas, and Marco Mondelli. “Improved Convergence of Score-Based Diffusion Models via Prediction-Correction.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2305.14164.
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2024 | Published | Conference Paper | IST-REx-ID: 18557 |
El-Hayek, Antoine, Monika Henzinger, and Stefan Schmid. “Broadcast and Consensus in Stochastic Dynamic Networks with Byzantine Nodes and Adversarial Edges.” In 38th International Symposium on Distributed Computing, Vol. 319. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024. https://doi.org/10.4230/LIPIcs.DISC.2024.21.
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2024 | Published | Conference Paper | IST-REx-ID: 18156 |
Henzinger, Monika, A. R. Sricharan, and Teresa Anna Steiner. “Private Counting of Distinct Elements in the Turnstile Model and Extensions.” In International Conference on Approximation Algorithms for Combinatorial Optimization Problems , Vol. 317. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024. https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.40.
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2024 | Published | Conference Paper | IST-REx-ID: 18308 |
La Tour, Max Dupré, Monika Henzinger, and David Saulpic. “Fully Dynamic K-Means Coreset in near-Optimal Update Time.” In 32nd Annual European Symposium on Algorithms, Vol. 308. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024. https://doi.org/10.4230/LIPIcs.ESA.2024.100.
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2024 | Published | Conference Paper | IST-REx-ID: 18115 |
Axiotis, Kyriakos, Vincent Cohen-Addad, Monika Henzinger, Sammy Jerome, Vahab Mirrokni, David Saulpic, David P. Woodruff, and Michael Wunder. “Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond.” In Proceedings of the 41st International Conference on Machine Learning, 235:2086–2107. ML Research Press, 2024.
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2024 | Published | Conference Paper | IST-REx-ID: 15253 |
Henzinger, Monika, Jalaj Upadhyay, and Sarvagya Upadhyay. “A Unifying Framework for Differentially Private Sums under Continual Observation.” In Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms, 2024:995–1018. Society for Industrial and Applied Mathematics, 2024. https://doi.org/10.1137/1.9781611977912.38.
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2024 | Published | Conference Paper | IST-REx-ID: 14769 |
Henzinger, Monika, David Saulpic, and Leonhard Sidl. “Experimental Evaluation of Fully Dynamic K-Means via Coresets.” In 2024 Proceedings of the Symposium on Algorithm Engineering and Experiments, 220–33. Society for Industrial and Applied Mathematics, 2024. https://doi.org/10.1137/1.9781611977929.17.
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2024 | Published | Conference Paper | IST-REx-ID: 18116 |
La Tour, Max Dupré, Monika Henzinger, and David Saulpic. “Making Old Things New: A Unified Algorithm for Differentially Private Clustering.” In Proceedings of the 41st International Conference on Machine Learning, 235:12046–86. ML Research Press, 2024.
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2024 | Published | Thesis | IST-REx-ID: 14711 |
Olusanya, Oluwafunmilola O. “Local Adaptation, Genetic Load and Extinction in Metapopulations.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:14711.
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2024 | Published | Thesis | IST-REx-ID: 17156 |
Rychlewicz, Kamil P. “Equivariant Cohomology and Rings of Functions.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:17156.
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2024 | Published | Thesis | IST-REx-ID: 18681
Tavakoli, Mojtaba. “Developing Molecular and Structural Tools for Studying Brain Architecture with Super Resolution Expansion Microscopy. LICONN: Molecularly-Informed Connectomics Reconstruction with Light Microscopy.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:18681.
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2024 | Published | Thesis | IST-REx-ID: 18515 |
Surendranadh, Parvathy. “Effect of Population Structure on Neutral Genetic Variation and Barriers to Gene Exchange.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:18515.
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2024 | Published | Conference Paper | IST-REx-ID: 18121 |
Moakhar, Arshia Soltani, Eugenia B Iofinova, Elias Frantar, and Dan-Adrian Alistarh. “SPADE: Sparsity-Guided Debugging for Deep Neural Networks.” In Proceedings of the 41st International Conference on Machine Learning, 235:45955–87. ML Research Press, 2024.
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2024 | Published | Journal Article | IST-REx-ID: 14345 |
Edelsbrunner, Herbert, Alexey Garber, Mohadese Ghafari, Teresa Heiss, and Morteza Saghafian. “On Angles in Higher Order Brillouin Tessellations and Related Tilings in the Plane.” Discrete and Computational Geometry. Springer Nature, 2024. https://doi.org/10.1007/s00454-023-00566-1.
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2024 | Published | Journal Article | IST-REx-ID: 9651 |
Dymond, Michael, and Vojtech Kaluza. “Divergence of Separated Nets with Respect to Displacement Equivalence.” Geometriae Dedicata. Springer Nature, 2024. https://doi.org/10.1007/s10711-023-00862-3.
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2024 | Published | Thesis | IST-REx-ID: 18674 |
Lyudchik, Julia. “Image Analysis for Brain Tissue Reconstruction with Super-Resolution Light Microscopy.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:18674.
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2024 | Published | Journal Article | IST-REx-ID: 15257 |
Kulich, Ivan, Julia Schmid, Anastasiia Teplova, Linlin Qi, and Jiří Friml. “Rapid Translocation of NGR Proteins Driving Polarization of PIN-Activating D6 Protein Kinase during Root Gravitropism.” ELife. eLife Sciences Publications, 2024. https://doi.org/10.7554/elife.91523.
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2024 | Published | Journal Article | IST-REx-ID: 17105 |
Sheng, Jinyu, Jacopo Perego, Silvia Bracco, Piotr Cieciórski, Wojciech Danowski, Angiolina Comotti, and Ben L. Feringa. “Orthogonal Photoswitching in a Porous Organic Framework.” Angewandte Chemie International Edition. Wiley, 2024. https://doi.org/10.1002/anie.202404878.
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2024 | Published | Journal Article | IST-REx-ID: 14257 |
Michalska, Julia M, Julia Lyudchik, Philipp Velicky, Hana Korinkova, Jake Watson, Alban Cenameri, Christoph M Sommer, et al. “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.” Nature Biotechnology. Springer Nature, 2024. https://doi.org/10.1038/s41587-023-01911-8.
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2024 | Published | Journal Article | IST-REx-ID: 14451 |
Cornalba, Federico, Constantin Disselkamp, Davide Scassola, and Christopher Helf. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.” Neural Computing and Applications. Springer Nature, 2024. https://doi.org/10.1007/s00521-023-09033-7.
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