Rahimi, Abbas

In-memory hyperdimensional computing

Karunaratne, G., Le Gallo, M., Cherubini, G., Benini, L., Rahimi, A., & Sebastian, A. (2020) · Nature Electronics

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 293

A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing

Rahimi, A., Kanerva, P., & Rabaey, J. M. (2016) · Proceedings of the 2016 International Symposium on Low Power Electronics and Design

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 276

Constrained Few-shot Class-incremental Learning

Hersche, M., Karunaratne, G., Cherubini, G., Benini, L., Sebastian, A., & Rahimi, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 167

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges

Kleyko, D., Rachkovskij, D., Osipov, E., & Rahimi, A. (2023) · ACM Computing Surveys

Cognitive Computing and NetworksNeural Networks and Applications

Cited by 141

Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition

Li, H., Wu, T. F., Rahimi, A., Li, K.-S., Rusch, M., Lin, C.-H., Hsu, J.-L., Sabry, M. M., Eryilmaz, S. B., Sohn, J., et al. (2016) · 2016 IEEE International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 136