| Jumping through local minima: Quantization in the loss landscape of vision transformers N Frumkin, D Gope, D Marculescu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 31 | 2023 |
| MobileTL: On-device transfer learning with inverted residual blocks HY Chiang, N Frumkin, F Liang, D Marculescu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7166-7174, 2023 | 24 | 2023 |
| Quamba: A post-training quantization recipe for selective state space models HY Chiang, CC Chang, N Frumkin, KC Wu, D Marculescu arXiv preprint arXiv:2410.13229, 2024 | 16 | 2024 |
| Privacy-preserving indoor localization via active scene illumination J Zhao, N Frumkin, J Konrad, P Ishwar Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 16 | 2018 |
| CNN-based indoor occupant localization via active scene illumination J Zhao, N Frumkin, P Ishwar, J Konrad 2019 IEEE International Conference on Image Processing (ICIP), 2636-2640, 2019 | 8 | 2019 |
| RL-Tune: A deep reinforcement learning assisted layer-wise fine-tuning approach for transfer learning T Mahmud, N Frumkin, D Marculescu First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 4 | 2022 |
| Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models HY Chiang, CC Chang, N Frumkin, KC Wu, MS Abdelfattah, D Marculescu arXiv preprint arXiv:2503.22879, 2025 | 3 | 2025 |
| CPT-V: A contrastive approach to post-training quantization of vision transformers N Frumkin, D Gope, D Marculescu arXiv preprint arXiv:2211.09643, 2022 | 1 | 2022 |
| Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling N Frumkin, D Marculescu arXiv preprint arXiv:2509.01624, 2025 | | 2025 |
Diana MarculescuThe University of Texas at AustinVerified email at utexas.edu
