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141 Publications


2026 | Accepted | Conference Paper | IST-REx-ID: 21916
Fedivertex: A graph dataset based on decentralized Social Media
M. Damie, E.A.L. Cyffers, in:, 2026 Proceedings of the ACM Web Conference, ACM, n.d., pp. 8393–8396.
View | DOI
 

2026 | Published | Thesis | PhD | IST-REx-ID: 21198 | OA
Data heterogeneity and personalization in federated learning
J.A. Scott, Data Heterogeneity and Personalization in Federated Learning, Institute of Science and Technology Austria, 2026.
[Published Version] View | Files available | DOI
 

2026 | Published | Conference Paper | IST-REx-ID: 22146 | OA
Learning rate scheduling with matrix factorization for private training
N. Kalinin, J.D. Andersson, in:, 7th Symposium on Foundations of Responsible Computing, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026.
[Published Version] View | Files available | DOI | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 12662 | OA | PlanS
Generalization in multi-objective machine learning
P. Súkeník, C. Lampert, Neural Computing and Applications 37 (2025) 24669–24683.
[Published Version] View | Files available | DOI | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20256 | OA
Predictive monitoring of black-box dynamical systems
T.A. Henzinger, F. Kresse, K. Mallik, E. Yu, D. Zikelic, in:, 7th Annual Learning for Dynamics & Control Conference, ML Research Press, 2025, pp. 804–816.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20298 | OA
Efficient estimation of a Gaussian mean with local differential privacy
N. Kalinin, L. Steinberger, in:, Proceedings of the 28th International Conference on Artificial Intelligence and Statistics, ML Research Press, 2025, pp. 118–126.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20455 | OA
Intriguing properties of robust classification
B. Prach, C. Lampert, in:, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, IEEE, 2025, pp. 660–669.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2025 | Published | Thesis | PhD | IST-REx-ID: 19759 | OA
Robust image classification with 1-Lipschitz networks
B. Prach, Robust Image Classification with 1-Lipschitz Networks, Institute of Science and Technology Austria, 2025.
[Published Version] View | Files available | DOI
 

2025 | Published | Conference Paper | IST-REx-ID: 22825 | OA
Neural collapse is globally optimal in deep regularized ResNets and transformers
P. Súkeník, C. Lampert, M. Mondelli, in:, 39th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2025, pp. 48646–48677.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 22824 | OA
Fast rate bounds for multi-task and meta-learning with different sample sizes
H. Zakerinia, C. Lampert, in:, 39th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2025, pp. 9062–9093.
[Published Version] View | DOI | Download Published Version (ext.)
 

2025 | Published | Conference Paper | IST-REx-ID: 20296 | OA
Logic gate neural networks are good for verification
F. Kresse, E. Yu, C. Lampert, T.A. Henzinger, in:, 2nd International Conferenceon Neuro-Symbolic Systems, ML Research Press, 2025.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20819 | OA
Differentially private federated k-means clustering with server-side data
J.A. Scott, C. Lampert, D. Saulpic, in:, 42nd International Conference on Machine Learning, ML Research Press, 2025, pp. 53757–53790.
[Published Version] View | Files available | arXiv
 

2025 | Draft | Preprint | IST-REx-ID: 21207 | OA [Preprint] View | Files available | DOI | Download Preprint (ext.)
 

2025 | Published | Conference Paper | IST-REx-ID: 22823 | OA
Setting ε is not the issue in differential privacy
E.A.L. Cyffers, in:, 39th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2025, pp. 159016–159028.
[Published Version] View | DOI | Download Published Version (ext.)
 

2025 | Published | Conference Paper | IST-REx-ID: 22828 | OA
Continual release moment estimation with differential privacy
N. Kalinin, J. Upadhyay, C. Lampert, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2025, pp. 64002–64047.
[Published Version] View | DOI | Download Published Version (ext.)
 

2024 | Published | Conference Paper | IST-REx-ID: 17093 | OA
Communication-efficient federated learning with data and client heterogeneity
H. Zakerinia, S. Talaei, G. Nadiradze, D.-A. Alistarh, in:, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, ML Research Press, 2024, pp. 3448–3456.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 18856 | OA
Predicting the geolocation of tweets using transformer models on customized data
K. Lutsai, C. Lampert, Journal of Spatial Information Science (2024) 69–99.
[Published Version] View | Files available | DOI
 

2024 | Published | Conference Paper | IST-REx-ID: 18875 | OA
Banded square root matrix factorization for differentially private model training
N. Kalinin, C. Lampert, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Neural collapse versus low-rank bias: Is deep neural collapse really optimal?
P. Súkeník, C. Lampert, M. Mondelli, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 19408 | OA
Continual learning: Applications and the road forward
E. Verwimp, R. Aljundi, S. Ben-David, M. Bethge, A. Cossu, A. Gepperth, T.L. Hayes, E. Hüllermeier, C. Kanan, D. Kudithipudi, C. Lampert, M. Mundt, R. Pascanu, A. Popescu, A.S. Tolias, J. Van De Weijer, B. Liu, V. Lomonaco, T. Tuytelaars, G.M. Van De Ven, Transactions on Machine Learning Research 2024 (2024).
[Published Version] View | Files available | arXiv
 

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