DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication

1 code implementation • 27 May 2023 • Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander Veidenbaum, Alexandru Nicolau, Tony Givargis

DotHash can be used to estimate the Jaccard index and, to the best of our knowledge, is the first method that can also estimate the Adamic-Adar index and a family of related metrics.

Link Prediction Recommendation Systems

Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures

1 code implementation • 18 May 2022 • Mike Heddes, Igor Nunes, Pere Vergés, Denis Kleyko, Danny Abraham, Tony Givargis, Alexandru Nicolau, Alexander Veidenbaum

Hyperdimensional computing (HD), also known as vector symbolic architectures (VSA), is a framework for computing with distributed representations by exploiting properties of random high-dimensional vector spaces.

Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing

no code implementations • 14 May 2022 • Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani

Our evaluation shows QHD capability for real-time learning, providing 34. 6 times speedup and significantly better quality of learning than DQN.

Decision Making Q-Learning +2