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