Elena-Alexandra Peste

Graduate School
Alistarh Group
Lampert Group

7 Publications

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[7]
2023 | Published | Conference Paper | IST-REx-ID: 13053 | OA
Krumes, Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations , OpenReview, 2023.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[6]
2023 | Published | Thesis | IST-REx-ID: 13074 | OA
Krumes, Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074.
[Published Version] View | Files available | DOI
 
[5]
2023 | Published | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova, Eugenia B., et al. “Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2023, pp. 24364–73, doi:10.1109/cvpr52729.2023.02334.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 15363 | OA
Safaryan, Mher, et al. “Knowledge Distillation Performs Partial Variance Reduction.” 36th Conference on Neural Information Processing Systems, vol. 36, 2023.
[Published Version] View | Files available | arXiv
 
[3]
2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova, Eugenia B., et al. “How Well Do Sparse ImageNet Models Transfer?” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–66, doi:10.1109/cvpr52688.2022.01195.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Published | Journal Article | IST-REx-ID: 10180 | OA
Hoefler, Torsten, et al. “Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks.” Journal of Machine Learning Research, vol. 22, no. 241, Journal of Machine Learning Research, 2021, pp. 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
Krumes, Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
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7 Publications

Mark all

[7]
2023 | Published | Conference Paper | IST-REx-ID: 13053 | OA
Krumes, Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations , OpenReview, 2023.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[6]
2023 | Published | Thesis | IST-REx-ID: 13074 | OA
Krumes, Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074.
[Published Version] View | Files available | DOI
 
[5]
2023 | Published | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova, Eugenia B., et al. “Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2023, pp. 24364–73, doi:10.1109/cvpr52729.2023.02334.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 15363 | OA
Safaryan, Mher, et al. “Knowledge Distillation Performs Partial Variance Reduction.” 36th Conference on Neural Information Processing Systems, vol. 36, 2023.
[Published Version] View | Files available | arXiv
 
[3]
2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova, Eugenia B., et al. “How Well Do Sparse ImageNet Models Transfer?” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–66, doi:10.1109/cvpr52688.2022.01195.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Published | Journal Article | IST-REx-ID: 10180 | OA
Hoefler, Torsten, et al. “Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks.” Journal of Machine Learning Research, vol. 22, no. 241, Journal of Machine Learning Research, 2021, pp. 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
Krumes, Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
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