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Alexandra Volkova

Max Cairney-Leeming

Jonathan Scott

Bernd Prach

Fabian Kresse

Egor Zverev

Christoph Lampert

Nikita Kalinin

Edwige Cyffers

Hossein Zakerinia

Peter Sukenik

Johannes Dostal

Anastasia Pentina

Mary Phuong

Filip Korc

Volhejn, Vaclav

Nikola Konstantinov

Georg Martius

Viktoriia Sharmanska

Csaba Domokos

Alexander Zimin

Amélie Royer

Alexander Kolesnikov

Paul Henderson

Emilie Morvant

Alexandra Krumes

Daniel Pucher



127 Publications

2023 | Published | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova, E. B., Krumes, A., & Alistarh, D.-A. (2023). Bias in pruned vision models: In-depth analysis and countermeasures. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 24364–24373). Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/cvpr52729.2023.02334
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2023 | Draft | Preprint | IST-REx-ID: 15039 | OA
Prach, B., & Lampert, C. (n.d.). 1-Lipschitz neural networks are more expressive with N-activations. arXiv. https://doi.org/10.48550/ARXIV.2311.06103
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov, N. H., & Lampert, C. (2022). On the impossibility of fairness-aware learning from corrupted data. In Proceedings of Machine Learning Research (Vol. 171, pp. 59–83). ML Research Press.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska, P., & Lampert, C. (2022). Lightweight conditional model extrapolation for streaming data under class-prior shift. In 26th International Conference on Pattern Recognition (Vol. 2022, pp. 2128–2134). Montreal, Canada: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/icpr56361.2022.9956195
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 10752
Lampert, J., & Lampert, C. (2022). Overcoming rare-language discrimination in multi-lingual sentiment analysis. In 2021 IEEE International Conference on Big Data (pp. 5185–5192). Orlando, FL, United States: IEEE. https://doi.org/10.1109/bigdata52589.2021.9672003
View | DOI | WoS
 
2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov, N. H., & Lampert, C. (2022). Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. ML Research Press.
[Published Version] View | Files available | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
Iofinova, E. B., Konstantinov, N. H., & Lampert, C. (2022). FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research. ML Research Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova, E. B., Krumes, A., Kurtz, M., & Alistarh, D.-A. (2022). How well do sparse ImageNet models transfer? In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 12256–12266). New Orleans, LA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr52688.2022.01195
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Prach, B., & Lampert, C. (2022). Almost-orthogonal layers for efficient general-purpose Lipschitz networks. In Computer Vision – ECCV 2022 (Vol. 13681, pp. 350–365). Tel Aviv, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-19803-8_21
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Thesis | IST-REx-ID: 10799 | OA
Konstantinov, N. H. (2022). Robustness and fairness in machine learning. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:10799
[Published Version] View | Files available | DOI
 
2021 | Published | Book Chapter | IST-REx-ID: 14987
Lampert, C. (2021). Zero-Shot Learning. In K. Ikeuchi (Ed.), Computer Vision (2nd ed., pp. 1395–1397). Cham: Springer. https://doi.org/10.1007/978-3-030-63416-2_874
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2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn, V., & Lampert, C. (2021). Does SGD implicitly optimize for smoothness? In 42nd German Conference on Pattern Recognition (Vol. 12544, pp. 246–259). Tübingen, Germany: Springer. https://doi.org/10.1007/978-3-030-71278-5_18
[Submitted Version] View | Files available | DOI
 
2021 | Draft | Preprint | IST-REx-ID: 10803 | OA
Konstantinov, N. H., & Lampert, C. (n.d.). Fairness through regularization for learning to rank. arXiv. https://doi.org/10.48550/arXiv.2102.05996
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
Phuong, M., & Lampert, C. (2021). The inductive bias of ReLU networks on orthogonally separable data. In 9th International Conference on Learning Representations. Virtual.
[Published Version] View | Files available | Download Published Version (ext.)
 
2021 | Published | Thesis | IST-REx-ID: 9418 | OA
Phuong, M. (2021). Underspecification in deep learning. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9418
[Published Version] View | Files available | DOI
 
2020 | Published | Conference Paper | IST-REx-ID: 8186 | OA
Henderson, P. M., Tsiminaki, V., & Lampert, C. (2020). Leveraging 2D data to learn textured 3D mesh generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7498–7507). Virtual: IEEE. https://doi.org/10.1109/CVPR42600.2020.00752
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
2020 | Submitted | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius, T., Lampert, C., & Henderson, P. M. (n.d.). Object-centric image generation with factored depths, locations, and appearances. arXiv. https://doi.org/10.48550/arXiv.2004.00642
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6952 | OA
Henderson, P. M., & Ferrari, V. (2020). Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-019-01219-8
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 7936 | OA
Royer, A., & Lampert, C. (2020). Localizing grouped instances for efficient detection in low-resource scenarios. In IEEE Winter Conference on Applications of Computer Vision. Snowmass Village, CO, United States: IEEE. https://doi.org/10.1109/WACV45572.2020.9093288
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 7937 | OA
Royer, A., & Lampert, C. (2020). A flexible selection scheme for minimum-effort transfer learning. In 2020 IEEE Winter Conference on Applications of Computer Vision. Snowmass Village, CO, United States: IEEE. https://doi.org/10.1109/WACV45572.2020.9093635
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

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