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ORCIDIonut-Vlad Modoranu
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2020 – today
- 2026
[i11]Ionut-Vlad Modoranu, Philip Zmushko, Erik Schultheis, Mher Safaryan
, Dan Alistarh:
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers. CoRR abs/2602.02016 (2026)- [i10]Andrej Jovanovic, Alex Iacob, Mher Safaryan, Ionut-Vlad Modoranu, Lorenzo Sani, William F. Shen, Xinchi Qiu, Dan Alistarh, Nicholas D. Lane:
LoRDO: Distributed Low-Rank Optimization with Infrequent Communication. CoRR abs/2602.04396 (2026) - [i9]Ionut-Vlad Modoranu, Mher Safaryan, Dan Alistarh:
MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning. CoRR abs/2605.07850 (2026) - 2025
- [c6]Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu, Dan Alistarh:
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics. ICLR 2025 - [c5]Andrei Panferov, Alexandra Volkova, Ionut-Vlad Modoranu, Vage Egiazarian, Mher Safaryan, Dan Alistarh:
Unified Scaling Laws for Compressed Representations. NeurIPS 2025 - [i8]Ionut-Vlad Modoranu, Mher Safaryan, Erik Schultheis, Dan Alistarh:
SVD-Free Low-Rank Adaptive Gradient Optimization for Large Language Models. CoRR abs/2505.17967 (2025) - [i7]Andrei Panferov, Alexandra Volkova, Ionut-Vlad Modoranu, Vage Egiazarian, Mher Safaryan, Dan Alistarh:
Unified Scaling Laws for Compressed Representations. CoRR abs/2506.01863 (2025) - [i6]Razvan Pascanu, Clare Lyle, Ionut-Vlad Modoranu, Naima Elosegui Borras, Dan Alistarh, Petar Velickovic, Sarath Chandar, Soham De, James Martens:
Optimizers Qualitatively Alter Solutions And We Should Leverage This. CoRR abs/2507.12224 (2025) - 2024
- [c4]Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Elias Frantar, Dan Alistarh:
Error Feedback Can Accurately Compress Preconditioners. ICML 2024: 35910-35933 - [c3]Ionut-Vlad Modoranu, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert, Peter Richtárik, Dan Alistarh:
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence. NeurIPS 2024 - [c2]Diyuan Wu, Ionut-Vlad Modoranu, Mher Safaryan, Denis Kuznedelev, Dan Alistarh:
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information. NeurIPS 2024 - [i5]Ionut-Vlad Modoranu, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert, Peter Richtárik, Dan Alistarh:
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence. CoRR abs/2405.15593 (2024) - [i4]Diyuan Wu, Ionut-Vlad Modoranu, Mher Safaryan, Denis Kuznedelev, Dan Alistarh:
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information. CoRR abs/2408.17163 (2024) - [i3]Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu, Dan Alistarh:
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics. CoRR abs/2410.16103 (2024) - 2023
- [i2]Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic, Dan Alistarh:
Error Feedback Can Accurately Compress Preconditioners. CoRR abs/2306.06098 (2023) - 2021
- [c1]Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras:
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. ICLR 2021 - 2020
- [i1]Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras:
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference. CoRR abs/2010.02432 (2020)
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