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Eugenia Iofinova
Eugenia Iofinova
Ph.D. Student, IST Austria
Email verificata su ist.ac.at
Titolo
Citata da
Citata da
Anno
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
462021
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
422021
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
262022
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data
E Iofinova, N Konstantinov, CH Lampert
8*2022
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
M Nikdan, T Pegolotti, E Iofinova, E Kurtic, D Alistarh
5*2023
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
32023
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
12023
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, 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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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