Iofinova, Eugenia

8 publications

ICLRW 2025 Cheap and Effective Personalization of Foundation Language Models for Imitating a User's Writing Style Armand Mihai Nicolicioiu, Eugenia Iofinova, Andrej Jovanovic, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir N Shavit, Dan Alistarh
TMLR 2024 Accurate Neural Network Pruning Requires Rethinking Sparse Optimization Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
ICML 2024 SPADE: Sparsity-Guided Debugging for Deep Neural Networks Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar, Dan Alistarh
CVPR 2023 Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures Eugenia Iofinova, Alexandra Peste, Dan Alistarh
ICML 2023 SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
TMLR 2022 FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data Eugenia Iofinova, Nikola Konstantinov, Christoph H Lampert
CVPR 2022 How Well Do Sparse ImageNet Models Transfer? Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
NeurIPS 2021 AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh