April 1, 2024
I will be on the job search in Nashville! Please have a look at my CV 📄
April 1, 2024
Our paper titled Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models will be presented in Vancouver! Many congrats to my co-authors.

 Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
 Hung-Yueh Chiang, Chi-Chih Chiang, Natalia Frumkin, Kai-Chiang Wu, Mohammad S. Abdelfattah, Diana Marculescu
 ICML, 2025

 Quamba: A post-training quantization recipe for selective state space models
 Hung-Yueh Chiang, Chi-Chih Chiang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu
 ICLR, 2024

 Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers
 Natalia Frumkin, Dibakar Gope, Diana Marculescu
 ICCV, 2023

 MobileTL: On-device Transfer Learning with Inverted Residual Blocks
 Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu
 AAAI, 2023

 RL-Tune: A Deep Reinforcement Learning Assisted Layer-wise Fine-Tuning Approach for Transfer Learning
 Tanvir Mahmud, Natalia Frumkin, Diana Marculescu
 ICML Pre-Training Workshop, 2022

 CNN-Based Indoor Occupant Localization via Active Scene Illumination
 Jinyuan Zhao, Natalia Frumkin, Prakash Ishwar, Janusz Konrad
  ICIP 2019

 Privacy-Preserving Indoor Localization via Active Scene Illumination
 Jinyuan Zhao, Natalia Frumkin, Janusz Konrad, Prakash Ishwar
 CVPR Workshop, 2018

Summer 2023

Summer 2022

Summer 2021

Summer 2020

Summer 2018

PhD, graduation in December 2025 MSE, May 2023

Bachelor of Science, May 2020