Mike Heddes

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Similarity Metric

Query Optimizers

Top Venues

Proc. ACM Manag. Data

Publications

Mike Heddes, Igor Nunes, Tony Givargis, Alex Nicolau
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries. CoRR (2024)
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
Molecular Classification Using Hyperdimensional Graph Classification. CoRR (2024)
Mike Heddes, Igor Nunes, Tony Givargis, Alex Nicolau
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries. Proc. ACM Manag. Data 2 (3) (2024)
Mike Heddes, Narayan Srinivasa, Tony Givargis, Alexandru Nicolau
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration. CoRR (2024)
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing. DAC (2023)
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)
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems. RTCSA (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)
Pere Vergés, Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau
HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing. CoRR (2023)
Mike Heddes, Igor Nunes, Pere Vergés, Dheyay Desai, Tony Givargis, Alexandru Nicolau
Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research. CoRR (2022)
Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
Hyperdimensional Hashing: A Robust and Efficient Dynamic Hash Table. CoRR (2022)
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
GraphHD: Efficient graph classification using hyperdimensional computing. DATE (2022)
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
GraphHD: Efficient graph classification using hyperdimensional computing. CoRR (2022)
Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
Hyperdimensional hashing: a robust and efficient dynamic hash table. DAC (2022)
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing. CoRR (2022)