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Eugenia Iofinova
Eugenia Iofinova
Ph.D. Student, IST Austria
Verified email at ist.ac.at
Title
Cited by
Cited by
Year
Ac/dc: Alternating compressed/decompressed training of deep neural networks
A Peste, E Iofinova, A Vladu, D Alistarh
Advances in neural information processing systems 34, 8557-8570, 2021
682021
The VRNetzer platform enables interactive network analysis in Virtual Reality
S Pirch, F Müller, E Iofinova, J Pazmandi, CVR Hütter, M Chiettini, C Sin, ...
Nature communications 12 (1), 2432, 2021
522021
How well do sparse imagenet models transfer?
E Iofinova, A Peste, M Kurtz, D Alistarh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
452022
FLEA: Provably robust fair multisource learning from unreliable training data
E Iofinova, N Konstantinov, CH Lampert
122022
SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge
M Nikdan, T Pegolotti, E Iofinova, E Kurtic, D Alistarh
International Conference on Machine Learning, 26215-26227, 2023
10*2023
Accurate neural network pruning requires rethinking sparse optimization
D Kuznedelev, E Kurtic, E Iofinova, E Frantar, A Peste, D Alistarh
arXiv preprint arXiv:2308.02060, 2023
72023
Bias in pruned vision models: In-depth analysis and countermeasures
E Iofinova, A Peste, D Alistarh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
72023
Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning
A Nicolicioiu, E Iofinova, E Kurtic, M Nikdan, A Panferov, I Markov, ...
arXiv preprint arXiv:2407.10994, 2024
2024
Hacking Generative Models with Differentiable Network Bending
G Aldegheri, A Rogalska, A Youssef, E Iofinova
arXiv preprint arXiv:2310.04816, 2023
2023
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
AS Moakhar, E Iofinova, E Frantar, D Alistarh
arXiv preprint arXiv:2310.04519, 2023
2023
EpiMath Austria SEIR A COVID-19 Compartment Model for Austria
M Eder, J Hermisson, M Hledik, C Hütter, E Iofinova, R Pisupati, ...
2021
EpiMath Austria: COVID-19 Modellierung am Beispiel Österreich
M Beiglböck, P Cebula, M Eder, A Grass, J Hermisson, M Hledik, C Hütter, ...
2020
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