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141 Publications
2026 |
Published |
Conference Paper |
IST-REx-ID: 22146 |
Kalinin N, Andersson JD. 2026. Learning rate scheduling with matrix factorization for private training. 7th Symposium on Foundations of Responsible Computing. FORC: Symposium on Foundations of Responsible Computing, LIPIcs, vol. 368, 2:1-2:21.
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| arXiv
2026 |
Published |
Thesis | PhD |
IST-REx-ID: 21198 |
Scott JA. 2026. Data heterogeneity and personalization in federated learning. Institute of Science and Technology Austria.
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2025 |
Published |
Conference Paper |
IST-REx-ID: 20256 |
Henzinger TA, Kresse F, Mallik K, Yu E, Zikelic D. 2025. Predictive monitoring of black-box dynamical systems. 7th Annual Learning for Dynamics & Control Conference. L4DC: Learning for Dynamics & Control, PMLR, vol. 283, 804–816.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20298 |
Kalinin N, Steinberger L. 2025. Efficient estimation of a Gaussian mean with local differential privacy. Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. AISTATS: Conference on Artificial Intelligence and Statistics, PMLR, vol. 258, 118–126.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 22825 |
Súkeník P, Lampert C, Mondelli M. 2025. Neural collapse is globally optimal in deep regularized ResNets and transformers. 39th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 38, 48646–48677.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 22824 |
Zakerinia H, Lampert C. 2025. Fast rate bounds for multi-task and meta-learning with different sample sizes. 39th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 38, 9062–9093.
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2025 |
Published |
Conference Paper |
IST-REx-ID: 20296 |
Kresse F, Yu E, Lampert C, Henzinger TA. 2025. Logic gate neural networks are good for verification. 2nd International Conferenceon Neuro-Symbolic Systems. NeuS: International Conferenceon Neuro-Symbolic Systems, PMLR, vol. 288, 26.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20819 |
Scott JA, Lampert C, Saulpic D. 2025. Differentially private federated k-means clustering with server-side data. 42nd International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 267, 53757–53790.
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| arXiv
2025 |
Draft |
Preprint |
IST-REx-ID: 21207 |
Zakerinia H, Scott JA, Lampert C. Federated learning with unlabeled clients: Personalization can happen in low dimensions. 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. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 38, 64002–64047.
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2025 |
Published |
Journal Article |
IST-REx-ID: 12662 |
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Súkeník P, Lampert C. 2025. Generalization in multi-objective machine learning. Neural Computing and Applications. 37, 24669–24683.
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| arXiv
2025 |
Published |
Thesis | PhD |
IST-REx-ID: 19759 |
Prach B. 2025. Robust image classification with 1-Lipschitz networks. Institute of Science and Technology Austria.
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2025 |
Published |
Conference Paper |
IST-REx-ID: 20455 |
Prach B, Lampert C. 2025. Intriguing properties of robust classification. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. CVPR: Conference on Computer Vision and Pattern Recognition, 660–669.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 22823 |
Cyffers EAL. 2025. Setting ε is not the issue in differential privacy. 39th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 38, 159016–159028.
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2024 |
Published |
Journal Article |
IST-REx-ID: 19408 |
Verwimp E, Aljundi R, Ben-David S, Bethge M, Cossu A, Gepperth A, Hayes TL, Hüllermeier E, Kanan C, Kudithipudi D, Lampert C, Mundt M, Pascanu R, Popescu A, Tolias AS, Van De Weijer J, Liu B, Lomonaco V, Tuytelaars T, Van De Ven GM. 2024. Continual learning: Applications and the road forward. Transactions on Machine Learning Research. 2024.
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| arXiv
2024 |
Submitted |
Preprint |
IST-REx-ID: 19063 |
Zverev E, Abdelnabi S, Tabesh S, Fritz M, Lampert C. Can LLMs separate instructions from data? And what do we even mean by that? arXiv, 2403.06833.
[Preprint]
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 17411 |
Scott JA, Zakerinia H, Lampert C. 2024. PEFLL: Personalized federated learning by learning to learn. 12th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18120 |
Scott JA, Cahill Á. 2024. Improved modelling of federated datasets using mixtures-of-Dirichlet-multinomials. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 44012–44037.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18118 |
Zakerinia H, Behjati A, Lampert C. 2024. More flexible PAC-Bayesian meta-learning by learning learning algorithms. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 58122–58139.
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