Danny Abraham

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Similarity Metric

Neurodegenerative Diseases

Reinforcement Learning

Link Prediction

Top Venues

J. Mach. Learn. Res.

Publications

Danny Abraham, Biswadip Maity, Bryan Donyanavard, Nikil D. Dutt
Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems. DATE (2024)
Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alexandru Nicolau, Tony Givargis
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. CoRR (2023)
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI (2023)
Mike Heddes, Igor Nunes, Pere Vergés, Denis Kleyko, Danny Abraham, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures. J. Mach. Learn. Res. 24 (2023)
Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. KDD (2023)
Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani
Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD (2022)
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR (2022)
Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC (2022)