Research

Conference Proceedings

• m3: Accurate Flow-Level Performance Estimation using Machine Learning (Code)
  ACM SIGCOMM 2024 Conference, Sydney, NSW, Australia, 2024
  Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, and Thomas E. Anderson
• Counterfactual Temporal Point Processes (Code.Talk)
  Neural Information Processing Systems (NeurIPS), New Orleans (LA, USA), 2022
  Kimia Noorbakhsh, Manuel Gomez Rodriguez

Journals

• Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
  Transactions on Machine Learning Research, 2025
  Denis Kuznedelev*, Soroush Tabesh*, Kimia Noorbakhsh*, Elias Frantar*, Sara Beery, Eldar Kurtic, Dan Alistarh
• LPF-Defense: 3D Adversarial Defense based on Frequency Analysis (Code)
  PLOS ONE, 2023
  Hanieh Naderi, Kimia Noorbakhsh*, Arian Etemadi*, Shohreh Kasaei

Arxiv

• Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
  Arxiv, 2025
  Kimia Noorbakhsh*, Joseph Chandler*, Pantea Karimi*, Mohammad Alizadeh, Hari Balakrishnan
• Pretrained Language Models are Symbolic Mathematics Solvers too! (Code)
  Arxiv, 2021
  Kimia Noorbakhsh, Modar Sulaiman, Mahdi Sharifi, Kallol Roy, Pooyan Jamshidi

[* indicates equal contribution]