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