most citedLearning from Hypervectors: A Survey on Hypervector Encoding

14 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures

Sercan Aygun, M. Hassan Najafi

Hyperdimensional computing (HDC) is an emerging computing paradigm with significant promise for efficient and robust learning. In HDC, objects are encoded with high-dimensional vec…

cs.AR20231 cited

uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing

Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi

Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-str…

cs.AR20231 cited

Sorting it out in Hardware: A State-of-the-Art Survey

Amir Hossein Jalilvand, Faeze S. Banitaba, Seyedeh Newsha Estiri +2

Sorting is a fundamental operation in various applications and a traditional research topic in computer science. Improving the performance of sorting operations can have a signific…

cs.ET2023

P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing

Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam +1

Stochastic Computing (SC) is an unconventional computing paradigm processing data in the form of random bit-streams. The accuracy and energy efficiency of SC systems highly depend…

cs.LG202314 cited

Learning from Hypervectors: A Survey on Hypervector Encoding

Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi +1

Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the brain's structure to offer a powerful and efficient processing and learning model. In HDC, the…