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6830 Publications
2025 |
Published |
Conference Paper |
IST-REx-ID: 21326 |
Wu, D., & Mondelli, M. (2025). Neural collapse beyond the unconstrained features model: Landscape, dynamics, and generalization in the mean-field regime. In Proceedings of the 42nd International Conference on Machine Learning (Vol. 267, pp. 67499–67536). Vancouver, Canada: ML Research Press.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 21268 |
Chatterjee, K., Doyen, L., Raskin, J.-F., & Sankur, O. (2025). The value problem for multiple-environment MDPs with parity objective. In 52nd International Colloquium on Automata, Languages, and Programming. Aarhus, Denmark: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ICALP.2025.150
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| arXiv
2025 |
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Conference Paper |
IST-REx-ID: 21412 |
Chatterjee, K., Křišťan, J. M., Schmid, S., Svoboda, J., & Yeo, M. X. (2025). Boosting payment channel network liquidity with topology optimization and transaction selection. In 39th International Symposium on Distributed Computing (Vol. 356). Berlin, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.DISC.2025.23
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| arXiv
| Cryptology ePrint
2025 |
Published |
Conference Paper |
IST-REx-ID: 20819 |
Scott, J. A., Lampert, C., & Saulpic, D. (2025). Differentially private federated k-means clustering with server-side data. In 42nd International Conference on Machine Learning (Vol. 267, pp. 53757–53790). Vancouver, Canada: ML Research Press.
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| arXiv
2025 |
Draft |
Preprint |
IST-REx-ID: 21207 |
Zakerinia, H., Scott, J. A., & Lampert, C. (n.d.). Federated learning with unlabeled clients: Personalization can happen in low dimensions. arXiv. https://doi.org/10.48550/ARXIV.2505.15579
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2025 |
Published |
Conference Paper |
IST-REx-ID: 22828 |
Kalinin, N., Upadhyay, J., & Lampert, C. (2025). Continual release moment estimation with differential privacy. In Advances in Neural Information Processing Systems (Vol. 38, pp. 64002–64047). San Diego, CA, United States: Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-1924
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2025 |
Published |
Journal Article |
IST-REx-ID: 19841 |
Britavskiy N, Mahy L, Lennon DJ, Patrick LR, Sana H, Villaseñor JI, Shenar T, Bodensteiner J, Bernini-Peron M, Berlanas SR, Bowman DM, Crowther PA, De Mink SE, Evans CJ, Götberg YLL, Holgado G, Johnston C, Keszthelyi Z, Klencki J, Langer N, Mandel I, Menon A, Moe M, Oskinova LM, Pauli D, Pawlak M, Ramachandran V, Renzo M, Sander AAC, Schneider FRN, Schootemeijer A, Sen K, Simón-Díaz S, Van Loon JT, Vink JS. 2025. Binarity at LOw Metallicity (BLOeM): Multiplicity of early B-type supergiants in the Small Magellanic Cloud. Astronomy & Astrophysics. 698, A40.
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| WoS
| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 19797 |
Hovis-Afflerbach, B., Götberg, Y. L. L., Schootemeijer, A., Klencki, J., Strom, A. L., Ludwig, B. A., & Drout, M. R. (2025). The mass distribution of stars stripped in binaries: The effect of metallicity. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202453185
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| arXiv
2025 |
Research Data Reference |
IST-REx-ID: 22933 |
Mueller-Horn, J. (2025). MWC656 Analysis. Repository. https://doi.org/10.17909/cfms-dg96
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2025 |
Published |
Journal Article |
IST-REx-ID: 19844 |
Bodensteiner J, Shenar T, Sana H, Britavskiy N, Crowther PA, Langer N, Lennon DJ, Mahy L, Patrick LR, Villaseñor JI, Abdul-Masih M, Bowman DM, De Koter A, De Mink SE, Deshmukh K, Fabry M, Gilkis A, Götberg YLL, Holgado G, Izzard RG, Janssens S, Kalari VM, Keszthelyi Z, Kubát J, Mandel I, Maravelias G, Oskinova LM, Pauli D, Ramachandran V, Rocha DF, Renzo M, Sander AAC, Schneider FRN, Schootemeijer A, Sen K, Stoop M, Toonen S, Van Loon JT, Valli R, Vigna-Gómez A, Vink JS, Wang C, Xu XT. 2025. Binarity at LOw Metallicity (BLOeM): Multiplicity properties of Oe and Be stars. Astronomy & Astrophysics. 698, A38.
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 19842 |
Patrick LR, Lennon DJ, Najarro F, Shenar T, Bodensteiner J, Sana H, Crowther PA, Britavskiy N, Langer N, Schootemeijer A, Evans CJ, Mahy L, Götberg YLL, De Mink SE, Schneider FRN, O’Grady AJG, Villaseñor JI, Bernini-Peron M, Bowman DM, De Koter A, Deshmukh K, Gilkis A, González-Torà G, Kalari VM, K̃Eszthelyi Z, Mandel I, Menon A, Moe M, Oskinova LM, Pauli D, Renzo M, Sander AAC, Sen K, Stoop M, Van Loon JT, Toonen S, Tramper F, Vink JS, Wang C. 2025. Binarity at LOw Metallicity (BLOeM): The multiplicity properties and evolution of BAF-type supergiants. Astronomy & Astrophysics. 698, A39.
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 20352 |
Sana H, Shenar T, Bodensteiner J, Britavskiy N, Langer N, Lennon DJ, Mahy L, Mandel I, De Mink SE, Patrick LR, Villaseñor JI, Dirickx M, Abdul-Masih M, Almeida LA, Backs F, Berlanas SR, Bernini-Peron M, Bowman DM, Bronner VA, Crowther PA, Deshmukh K, Evans CJ, Fabry M, Gieles M, Gilkis A, González-Torà G, Gräfener G, Götberg YLL, Hawcroft C, Hénault-Brunet V, Herrero A, Holgado G, Izzard RG, De Koter A, Janssens S, Johnston C, Josiek J, Justham S, Kalari VM, Klencki J, Kubát J, Kubátová B, Lefever RR, Van Loon JT, Ludwig B, Mackey J, Maíz Apellániz J, Maravelias G, Marchant P, Mazeh T, Menon A, Moe M, Najarro F, Oskinova LM, Ovadia R, Pauli D, Pawlak M, Ramachandran V, Renzo M, Rocha DF, Sander AAC, Schneider FRN, Schootemeijer A, Schösser EC, Schürmann C, Sen K, Shahaf S, Simón-Díaz S, Van Son LAC, Stoop M, Toonen S, Tramper F, Valli R, Vigna-Gómez A, Vink JS, Wang C, Willcox R. 2025. A high fraction of close massive binary stars at low metallicity. Nature Astronomy. 9, 1337–1346.
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| arXiv
earlier version | 2025 |
Draft |
Preprint |
IST-REx-ID: 19546 |
Cipolloni, G., Erdös, L., Henheik, S. J., & Kolupaiev, O. (n.d.). Eigenvector decorrelation for random matrices. arXiv. https://doi.org/10.48550/arXiv.2410.10718
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 22827 |
Ashkboos, S., Nikdan, M., Tabesh, S., Lopez Castro, R., Hoefler, T., & Alistarh, D.-A. (2025). HALO: Hadamard-assisted lower-precision optimization for LLMs. In 39th Conference on Neural Information Processing Systems (Vol. 38, pp. 131755–131780). San Diego, CA, United States: Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-3966
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| arXiv
2025 |
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Conference Paper |
IST-REx-ID: 22832 |
Cadei, R., Demirel, I., De Bartolomeis, P., Lindorfer, L., Cremer, S., Schmid, C., & Locatello, F. (2025). Prediction-Powered Causal Inferences. In 39th Conference on Neural Information Processing Systems (Vol. 38, pp. 82200–82229). San Diego, CA, United States: Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-2479
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 22831
Yu, H., Inal, B., Arvanitidis, G., Hauberg, S., Locatello, F., & Fumero, M. (2025). Connecting neural models latent geometries with relative geodesic representations. In 39th Conference on Neural Information Processing Systems (Vol. 38, pp. 125316–125360). San Diego, CA, United States: Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-3769
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 22929 |
Bilu, M., & Browning, T. D. (2025). A motivic circle method. Annales Scientifiques de l’École Normale Supérieure. Société Mathématique de France. https://doi.org/10.24033/asens.2628
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| arXiv
2025 |
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Journal Article |
IST-REx-ID: 18449 |
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Schober, S., Klee, S., & Trautinger, F. (2025). The role of institutional ethics committees in Austria: Report of the Commission on Ethics and Scientific Integrity of the Karl Landsteiner University of Health Sciences 2018–2023. Wiener Klinische Wochenschrift. Springer Nature. https://doi.org/10.1007/s00508-024-02462-x
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2025 |
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Journal Article |
IST-REx-ID: 18074 |
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Fialova, M. (2025). Aharonov–Casher theorems for Dirac operators on manifolds with boundary and APS boundary condition. Annales Henri Poincare. Springer Nature. https://doi.org/10.1007/s00023-024-01482-7
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20292 |
Gupta, A., Henzinger, T. A., Kueffner, K., Mallik, K., & Pape, D. (2025). Monitoring robustness and individual fairness. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Vol. 2, pp. 790–801). Toronto, Canada: Association for Computing Machinery. https://doi.org/10.1145/3711896.3737054
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