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2020 – today
- 2024
[i4]Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu:
Quamba: A Post-Training Quantization Recipe for Selective State Space Models. CoRR abs/2410.13229 (2024)- 2023
- [c4]Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu
:
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks. AAAI 2023: 7166-7174 - [c3]Natalia Frumkin, Dibakar Gope, Diana Marculescu:
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers. ICCV 2023: 16932-16942 - [i3]Natalia Frumkin, Dibakar Gope, Diana Marculescu:
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers. CoRR abs/2308.10814 (2023) - 2022
- [i2]Natalia Frumkin, Dibakar Gope, Diana Marculescu:
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers. CoRR abs/2211.09643 (2022) - [i1]Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu:
MobileTL: On-device Transfer Learning with Inverted Residual Blocks. CoRR abs/2212.03246 (2022)
2010 – 2019
- 2019
- [c2]Jinyuan Zhao, Natalia Frumkin, Prakash Ishwar, Janusz Konrad:
CNN-Based Indoor Occupant Localization via Active Scene Illumination. ICIP 2019: 2636-2640 - 2018
- [c1]Jinyuan Zhao, Natalia Frumkin, Janusz Konrad, Prakash Ishwar:
Privacy-Preserving Indoor Localization via Active Scene Illumination. CVPR Workshops 2018: 1580-1589
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