Eugenia Iofinova

11 Publications

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[11]
2026 | Published | Journal Article | IST-REx-ID: 21839 | OA
Sin C, Watzenboeck ML, Iofinova EB, Balcar L, Semmler G, Scheiner B, Lampichler K, Mandorfer M, Moga L, Rautou P, Ronot M, Menche J, Reiberger T, Scharitzer M. 2026. Radiomics‐based assessment of portal hypertension severity and risk stratification of cirrhotic patients using routine CT scans. Liver International. 46(5), e70633.
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[10]
2026 | Published | Thesis | PhD | IST-REx-ID: 21854 | OA
Iofinova EB. 2026. On the utility and effects of efficiency in artificial neural networks. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[9]
2026 | Published | Conference Poster | IST-REx-ID: 21857 | OA
Nicolicioiu A, Iofinova EB, Jovanovic A, Kurtic E, Nikdan M, Panferov A, Markov I, Shavit N, Alistarh D-A. 2026. Panza: Investigating the feasibility of fully-local personalized text generation, OpenReview,p.
[Accepted Version] View | Files available | Download Accepted Version (ext.)
 
[8]
2026 | Draft | Preprint | IST-REx-ID: 21859 | OA
Iofinova EB, Alistarh D-A. Behemoth: Benchmarking unlearning in LLMs using fully synthetic data. arXiv, 10.48550/arXiv.2601.23153.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[7]
2025 | Draft | Preprint | IST-REx-ID: 21858 | OA
Iofinova EB, Jovanovic A, Alistarh D-A. Position: It’s time to act on the risk of efficient personalized text generation. arXiv, 10.48550/arXiv.2502.06560.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2024 | Published | Conference Paper | IST-REx-ID: 18121 | OA
Moakhar AS, Iofinova EB, Frantar E, Alistarh D-A. 2024. SPADE: Sparsity-guided debugging for deep neural networks. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 45955–45987.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[5]
2023 | Published | Conference Paper | IST-REx-ID: 14460 | OA
Nikdan M, Pegolotti T, Iofinova EB, Kurtic E, Alistarh D-A. 2023. SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 26215–26227.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova EB, Krumes 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 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova EB, Krumes 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]
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
Iofinova EB, Konstantinov NH, Lampert C. 2022. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
Krumes 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, Advances in Neural Information Processing Systems, vol. 34, 8557–8570.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
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11 Publications

Mark all

[11]
2026 | Published | Journal Article | IST-REx-ID: 21839 | OA
Sin C, Watzenboeck ML, Iofinova EB, Balcar L, Semmler G, Scheiner B, Lampichler K, Mandorfer M, Moga L, Rautou P, Ronot M, Menche J, Reiberger T, Scharitzer M. 2026. Radiomics‐based assessment of portal hypertension severity and risk stratification of cirrhotic patients using routine CT scans. Liver International. 46(5), e70633.
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[10]
2026 | Published | Thesis | PhD | IST-REx-ID: 21854 | OA
Iofinova EB. 2026. On the utility and effects of efficiency in artificial neural networks. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[9]
2026 | Published | Conference Poster | IST-REx-ID: 21857 | OA
Nicolicioiu A, Iofinova EB, Jovanovic A, Kurtic E, Nikdan M, Panferov A, Markov I, Shavit N, Alistarh D-A. 2026. Panza: Investigating the feasibility of fully-local personalized text generation, OpenReview,p.
[Accepted Version] View | Files available | Download Accepted Version (ext.)
 
[8]
2026 | Draft | Preprint | IST-REx-ID: 21859 | OA
Iofinova EB, Alistarh D-A. Behemoth: Benchmarking unlearning in LLMs using fully synthetic data. arXiv, 10.48550/arXiv.2601.23153.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[7]
2025 | Draft | Preprint | IST-REx-ID: 21858 | OA
Iofinova EB, Jovanovic A, Alistarh D-A. Position: It’s time to act on the risk of efficient personalized text generation. arXiv, 10.48550/arXiv.2502.06560.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2024 | Published | Conference Paper | IST-REx-ID: 18121 | OA
Moakhar AS, Iofinova EB, Frantar E, Alistarh D-A. 2024. SPADE: Sparsity-guided debugging for deep neural networks. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 45955–45987.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[5]
2023 | Published | Conference Paper | IST-REx-ID: 14460 | OA
Nikdan M, Pegolotti T, Iofinova EB, Kurtic E, Alistarh D-A. 2023. SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 26215–26227.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[4]
2023 | Published | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova EB, Krumes 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 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova EB, Krumes 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]
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
Iofinova EB, Konstantinov NH, Lampert C. 2022. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
Krumes 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, Advances in 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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