A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. - Sanghyun Hong 001; Yigitcan Kaya; Ionut-Vlad Modoranu; Tudor Dumitras (ICLR, 2021)

Error Feedback Can Accurately Compress Preconditioners. - Ionut-Vlad Modoranu; Aleksei Kalinov; Eldar Kurtic; Dan Alistarh (CoRR, 2023)

Error Feedback Can Accurately Compress Preconditioners. - Ionut-Vlad Modoranu; Aleksei Kalinov; Eldar Kurtic; Elias Frantar; Dan Alistarh (ICML, 2024)

MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence. - Ionut-Vlad Modoranu; Mher Safaryan; Grigory Malinovsky; Eldar Kurtic; Thomas Robert 007; Peter Richtárik; Dan Alistarh (NeurIPS, 2024)

The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information. - Diyuan Wu; Ionut-Vlad Modoranu; Mher Safaryan; Denis Kuznedelev; Dan Alistarh (NeurIPS, 2024)

LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics. - Thomas Robert 007; Mher Safaryan; Ionut-Vlad Modoranu; Dan Alistarh (ICLR, 2025)

SVD-Free Low-Rank Adaptive Gradient Optimization for Large Language Models. - Ionut-Vlad Modoranu; Mher Safaryan; Erik Schultheis; Dan Alistarh (CoRR, 2025)

Unified Scaling Laws for Compressed Representations. - Andrei Panferov; Alexandra Volkova; Ionut-Vlad Modoranu; Vage Egiazarian; Mher Safaryan; Dan Alistarh (CoRR, 2025)

Optimizers Qualitatively Alter Solutions And We Should Leverage This. - Razvan Pascanu; Clare Lyle; Ionut-Vlad Modoranu; Naima Elosegui Borras; Dan Alistarh; Petar Velickovic; Sarath Chandar; Soham De; James Martens (CoRR, 2025)