Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
108 Publications
2023 | Conference Paper | IST-REx-ID: 13053 |

CrAM: A Compression-Aware Minimizer
E.-A. Peste, A. Vladu, E. Kurtic, C. Lampert, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , n.d.
View
| Files available
| Download Preprint (ext.)
| arXiv
E.-A. Peste, A. Vladu, E. Kurtic, C. Lampert, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , n.d.
2023 | Thesis | IST-REx-ID: 13074 |

Efficiency and generalization of sparse neural networks
E.-A. Peste, Efficiency and Generalization of Sparse Neural Networks, Institute of Science and Technology Austria, 2023.
View
| Files available
| DOI
E.-A. Peste, Efficiency and Generalization of Sparse Neural Networks, Institute of Science and Technology Austria, 2023.
2023 | Journal Article | IST-REx-ID: 14320 |

Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene
P.M. Henderson, A. Ghazaryan, A.A. Zibrov, A.F. Young, M. Serbyn, Physical Review B 108 (2023).
View
| DOI
| Download Preprint (ext.)
| arXiv
P.M. Henderson, A. Ghazaryan, A.A. Zibrov, A.F. Young, M. Serbyn, Physical Review B 108 (2023).
2022 | Preprint | IST-REx-ID: 12660 |

Cross-client Label Propagation for transductive federated learning
J.A. Scott, M.X. Yeo, C. Lampert, ArXiv (n.d.).
View
| Files available
| DOI
| arXiv
J.A. Scott, M.X. Yeo, C. Lampert, ArXiv (n.d.).
2022 | Preprint | IST-REx-ID: 12662 |

Generalization in Multi-objective machine learning
P. Súkeník, C. Lampert, ArXiv (n.d.).
View
| DOI
| Download Preprint (ext.)
| arXiv
P. Súkeník, C. Lampert, ArXiv (n.d.).
2022 | Journal Article | IST-REx-ID: 12495 |

FLEA: Provably robust fair multisource learning from unreliable training data
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
View
| Files available
| Download Published Version (ext.)
| arXiv
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
2022 | Conference Paper | IST-REx-ID: 11839 |

Almost-orthogonal layers for efficient general-purpose Lipschitz networks
B. Prach, C. Lampert, in:, Computer Vision – ECCV 2022, Springer Nature, 2022, pp. 350–365.
View
| DOI
| Download Preprint (ext.)
| arXiv
B. Prach, C. Lampert, in:, Computer Vision – ECCV 2022, Springer Nature, 2022, pp. 350–365.
2022 | Conference Paper | IST-REx-ID: 10752
Overcoming rare-language discrimination in multi-lingual sentiment analysis
J. Lampert, C. Lampert, in:, 2021 IEEE International Conference on Big Data, IEEE, 2022, pp. 5185–5192.
View
| DOI
| WoS
J. Lampert, C. Lampert, in:, 2021 IEEE International Conference on Big Data, IEEE, 2022, pp. 5185–5192.
2022 | Conference Paper | IST-REx-ID: 12161 |

Lightweight conditional model extrapolation for streaming data under class-prior shift
P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 2128–2134.
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 2128–2134.
2022 | Conference Paper | IST-REx-ID: 12299 |

How well do sparse ImageNet models transfer?
E.B. Iofinova, E.-A. Peste, M. Kurtz, D.-A. Alistarh, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–12266.
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
E.B. Iofinova, E.-A. Peste, M. Kurtz, D.-A. Alistarh, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–12266.
2022 | Thesis | IST-REx-ID: 10799 |

Robustness and fairness in machine learning
N.H. Konstantinov, Robustness and Fairness in Machine Learning, Institute of Science and Technology Austria, 2022.
View
| Files available
| DOI
N.H. Konstantinov, Robustness and Fairness in Machine Learning, Institute of Science and Technology Austria, 2022.
2022 | Journal Article | IST-REx-ID: 10802 |

Fairness-aware PAC learning from corrupted data
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
View
| Files available
| arXiv
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
2022 | Conference Paper | IST-REx-ID: 13241 |

On the impossibility of fairness-aware learning from corrupted data
N.H. Konstantinov, C. Lampert, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 59–83.
View
| Files available
| Download Preprint (ext.)
| arXiv
N.H. Konstantinov, C. Lampert, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 59–83.
2021 | Conference Paper | IST-REx-ID: 9210 |

Does SGD implicitly optimize for smoothness?
V. Volhejn, C. Lampert, in:, 42nd German Conference on Pattern Recognition, Springer, 2021, pp. 246–259.
View
| Files available
| DOI
V. Volhejn, C. Lampert, in:, 42nd German Conference on Pattern Recognition, Springer, 2021, pp. 246–259.
2021 | Conference Paper | IST-REx-ID: 9416 |

The inductive bias of ReLU networks on orthogonally separable data
M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
View
| Files available
| Download Published Version (ext.)
M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
2021 | Preprint | IST-REx-ID: 10803 |

Fairness through regularization for learning to rank
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
2021 | Thesis | IST-REx-ID: 9418 |

Underspecification in deep learning
M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
View
| Files available
| DOI
M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
2020 | Preprint | IST-REx-ID: 8063 |

Object-centric image generation with factored depths, locations, and appearances
T. Anciukevicius, C. Lampert, P.M. Henderson, ArXiv (n.d.).
View
| Download Preprint (ext.)
| arXiv
T. Anciukevicius, C. Lampert, P.M. Henderson, ArXiv (n.d.).
2020 | Conference Paper | IST-REx-ID: 8186 |

Leveraging 2D data to learn textured 3D mesh generation
P.M. Henderson, V. Tsiminaki, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVF, 2020, pp. 7498–7507.
View
| Files available
| DOI
| Download Submitted Version (ext.)
| arXiv
P.M. Henderson, V. Tsiminaki, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVF, 2020, pp. 7498–7507.
2020 | Conference Paper | IST-REx-ID: 8188 |

Unsupervised object-centric video generation and decomposition in 3D
P.M. Henderson, C. Lampert, in:, 34th Conference on Neural Information Processing Systems, Curran Associates, 2020, pp. 3106–3117.
View
| Download Preprint (ext.)
| arXiv
P.M. Henderson, C. Lampert, in:, 34th Conference on Neural Information Processing Systems, Curran Associates, 2020, pp. 3106–3117.