Elena-Alexandra Peste

Graduate School
Alistarh Group
Lampert Group

6 Publications

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[6]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[5]
2023 | Thesis | IST-REx-ID: 13074 | OA
Peste E-A. 2023. Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[4]
2023 | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova EB, Peste E-A, Alistarh D-A. 2023. Bias in pruned vision models: In-depth analysis and countermeasures. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 24364–24373.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[3]
2022 | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova EB, Peste E-A, Kurtz M, Alistarh D-A. 2022. How well do sparse ImageNet models transfer? 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 12256–12266.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Journal Article | IST-REx-ID: 10180 | OA
Hoefler T, Alistarh D-A, Ben-Nun T, Dryden N, Peste E-A. 2021. Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks. Journal of Machine Learning Research. 22(241), 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2021 | Conference Paper | IST-REx-ID: 11458 | OA
Peste E-A, Iofinova EB, Vladu A, Alistarh D-A. 2021. AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 8557–8570.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
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6 Publications

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[6]
2023 | Conference Paper | IST-REx-ID: 13053 | OA
Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[5]
2023 | Thesis | IST-REx-ID: 13074 | OA
Peste E-A. 2023. Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[4]
2023 | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova EB, Peste E-A, Alistarh D-A. 2023. Bias in pruned vision models: In-depth analysis and countermeasures. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 24364–24373.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[3]
2022 | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova EB, Peste E-A, Kurtz M, Alistarh D-A. 2022. How well do sparse ImageNet models transfer? 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 12256–12266.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Journal Article | IST-REx-ID: 10180 | OA
Hoefler T, Alistarh D-A, Ben-Nun T, Dryden N, Peste E-A. 2021. Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks. Journal of Machine Learning Research. 22(241), 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2021 | Conference Paper | IST-REx-ID: 11458 | OA
Peste E-A, Iofinova EB, Vladu A, Alistarh D-A. 2021. AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 8557–8570.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
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    Citation Style: ISTA Annual Report

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