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133 Publications
2024 | Published | Conference Paper | IST-REx-ID: 18120 | 
Scott JA, Cahill Á. Improved modelling of federated datasets using mixtures-of-Dirichlet-multinomials. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:44012-44037.
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| arXiv
2024 | Published | 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. 2024. doi:10.48550/arXiv.2403.06833
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| arXiv
2024 | Published | Journal Article | IST-REx-ID: 19408 |
Verwimp E, Aljundi R, Ben-David S, et al. Continual learning: Applications and the road forward. Transactions on Machine Learning Research. 2024;2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18875 |
Kalinin N, Lampert C. Banded square root matrix factorization for differentially private model training. In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18891 |
Súkeník P, Lampert C, Mondelli M. Neural collapse versus low-rank bias: Is deep neural collapse really optimal? In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
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| arXiv
2024 | Published | Journal Article | IST-REx-ID: 18856 |
Lutsai K, Lampert C. Predicting the geolocation of tweets using transformer models on customized data. Journal of Spatial Information Science. 2024;(29):69-99. doi:10.5311/JOSIS.2024.29.295
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2024 | Published | Conference Paper | IST-REx-ID: 17426 |
Prach B, Brau F, Buttazzo G, Lampert C. 1-Lipschitz layers compared: Memory, speed, and certifiable robustness. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Computer Vision Foundation; 2024:24574-24583. doi:10.1109/CVPR52733.2024.02320
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| arXiv
2024 | Draft | Preprint | IST-REx-ID: 18874 |
Prach B, Lampert C. Intriguing properties of robust classification. arXiv. doi:10.48550/arXiv.2412.04245
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14320 |
Henderson PM, Ghazaryan A, Zibrov AA, Young AF, Serbyn M. Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene. Physical Review B. 2023;108(12). doi:10.1103/physrevb.108.125411
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14410
Tomaszewska P, Lampert C. On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift. In: International Workshop on Reproducible Research in Pattern Recognition. Vol 14068. Springer Nature; 2023:67-73. doi:10.1007/978-3-031-40773-4_6
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2023 | Published | Conference Paper | IST-REx-ID: 12660 |
Scott JA, Yeo MX, Lampert C. Cross-client label propagation for transductive and semi-supervised federated learning. In: Transactions in Machine Learning. Curran Associates; 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 13053 |
Krumes A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. In: 11th International Conference on Learning Representations . OpenReview; 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14921 |
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. In: 37th Annual Conference on Neural Information Processing Systems. ; 2023.
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| arXiv
2023 | Draft | Preprint | IST-REx-ID: 15039 |
Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. arXiv. doi:10.48550/ARXIV.2311.06103
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 14446 |
Jakubík J, Phuong M, Chvosteková M, Krakovská A. Against the flow of time with multi-output models. Measurement Science Review. 2023;23(4):175-183. doi:10.2478/msr-2023-0023
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2023 | Published | Conference Paper | IST-REx-ID: 14771 |
Iofinova EB, Krumes A, Alistarh D-A. Bias in pruned vision models: In-depth analysis and countermeasures. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2023:24364-24373. doi:10.1109/cvpr52729.2023.02334
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| arXiv
2023 | Published | Thesis | IST-REx-ID: 13074 |
Krumes A. Efficiency and generalization of sparse neural networks. 2023. doi:10.15479/at:ista:13074
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2022 | Published | Conference Paper | IST-REx-ID: 13241 |
Konstantinov NH, Lampert C. On the impossibility of fairness-aware learning from corrupted data. In: Proceedings of Machine Learning Research. Vol 171. ML Research Press; 2022:59-83.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12161 |
Tomaszewska P, Lampert C. Lightweight conditional model extrapolation for streaming data under class-prior shift. In: 26th International Conference on Pattern Recognition. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:2128-2134. doi:10.1109/icpr56361.2022.9956195
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 10752
Lampert J, Lampert C. Overcoming rare-language discrimination in multi-lingual sentiment analysis. In: 2021 IEEE International Conference on Big Data. IEEE; 2022:5185-5192. doi:10.1109/bigdata52589.2021.9672003
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