Natalia Frumkin (Natasha)

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