Eugenia Iofinova

18 papers A* 5Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Behemoth: Benchmarking Unlearning in LLMs Using Fully Synthetic Data. CoRR Eugenia Iofinova, Dan Alistarh
2025	J	`jnl`	Position: It's Time to Act on the Risk of Efficient Personalized Text Generation. CoRR Eugenia Iofinova, Andrej Jovanovic, Dan Alistarh
2024	J	`jnl`	Accurate Neural Network Pruning Requires Rethinking Sparse Optimization. Trans. Mach. Learn. Res. Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
2024	J	`jnl`	Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. CoRR Armand Nicolicioiu, Eugenia Iofinova, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir Shavit, Dan Alistarh
2024	A*	`conf`	SPADE: Sparsity-Guided Debugging for Deep Neural Networks. ICML Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar, Dan Alistarh
2023	J	`jnl`	Accurate Neural Network Pruning Requires Rethinking Sparse Optimization. CoRR Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
2023	A*	`conf`	Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures. CVPR Eugenia Iofinova, Alexandra Peste, Dan Alistarh
2023	J	`jnl`	Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures. CoRR Eugenia Iofinova, Alexandra Peste, Dan Alistarh
2023	J	`jnl`	Hacking Generative Models with Differentiable Network Bending. CoRR Giacomo Aldegheri, Alina Rogalska, Ahmed Youssef, Eugenia Iofinova
2023	J	`jnl`	SPADE: Sparsity-Guided Debugging for Deep Neural Networks. CoRR Arshia Soltani Moakhar, Eugenia Iofinova, Dan Alistarh
2023	A*	`conf`	SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge. ICML Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
2023	J	`jnl`	SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks. CoRR Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
2022	J	`jnl`	FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data. Trans. Mach. Learn. Res. Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert
2022	A*	`conf`	How Well Do Sparse ImageNet Models Transfer? CVPR Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
2021	A*	`conf`	AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks. NeurIPS Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
2021	J	`jnl`	AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks. CoRR Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
2021	J	`jnl`	FLEA: Provably Fair Multisource Learning from Unreliable Training Data. CoRR Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert
2021	J	`jnl`	How Well Do Sparse Imagenet Models Transfer? CoRR Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh