Amiri, Mohammad Mohammadi

6 publications

TMLR 2026 Toward Efficient Influence Function: Dropout as a Compression Tool Yuchen Zhang, Mohammad Mohammadi Amiri

NeurIPS 2025 Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching Zhong Li, Qi Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Niki van Stein, Matthijs van Leeuwen

ICLRW 2025 Sparse Gradient Compression for Fine-Tuning Large Language Models David H. Yang, Mohammad Mohammadi Amiri, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen

ICLRW 2025 Toward Efficient Influence Function: Dropout as a Compression Tool Yuchen Zhang, Mohammad Mohammadi Amiri

ICLR 2024 Incentive-Aware Federated Learning with Training-Time Model Rewards Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar, Bryan Kian Hsiang Low

AAAI 2023 Fundamentals of Task-Agnostic Data Valuation Mohammad Mohammadi Amiri, Frederic Berdoz, Ramesh Raskar