AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks. - Alexandra Peste; Eugenia Iofinova; Adrian Vladu; Dan Alistarh (NeurIPS, 2021)

FLEA: Provably Fair Multisource Learning from Unreliable Training Data. - Eugenia Iofinova; Nikola Konstantinov; Christoph H. Lampert (CoRR, 2021)

How Well Do Sparse ImageNet Models Transfer? - Eugenia Iofinova; Alexandra Peste; Mark Kurtz; Dan Alistarh (CVPR, 2022)

FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data. - Eugenia Iofinova; Nikola Konstantinov; Christoph H. Lampert (Trans. Mach. Learn. Res., 2022)

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures. - Eugenia Iofinova; Alexandra Peste; Dan Alistarh (CVPR, 2023)

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge. - Mahdi Nikdan; Tommaso Pegolotti; Eugenia Iofinova; Eldar Kurtic; Dan Alistarh (ICML, 2023)

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks. - Mahdi Nikdan; Tommaso Pegolotti; Eugenia Iofinova; Eldar Kurtic; Dan Alistarh (CoRR, 2023)

SPADE: Sparsity-Guided Debugging for Deep Neural Networks. - Arshia Soltani Moakhar; Eugenia Iofinova; Dan Alistarh (CoRR, 2023)

Hacking Generative Models with Differentiable Network Bending. - Giacomo Aldegheri; Alina Rogalska; Ahmed Youssef; Eugenia Iofinova (CoRR, 2023)

SPADE: Sparsity-Guided Debugging for Deep Neural Networks. - Arshia Soltani Moakhar; Eugenia Iofinova; Elias Frantar; Dan Alistarh (ICML, 2024)

Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. - Armand Nicolicioiu; Eugenia Iofinova; Eldar Kurtic; Mahdi Nikdan; Andrei Panferov; Ilia Markov; Nir Shavit; Dan Alistarh (CoRR, 2024)

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization. - Denis Kuznedelev; Eldar Kurtic; Eugenia Iofinova; Elias Frantar; Alexandra Peste; Dan Alistarh (Trans. Mach. Learn. Res., 2024)

Position: It's Time to Act on the Risk of Efficient Personalized Text Generation. - Eugenia Iofinova; Andrej Jovanovic; Dan Alistarh (CoRR, 2025)