Mike Heddes

23 papers A* 4A 1B 3Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Approximating Tensor Network Contraction with Sketches.
CoRR
Mike Heddes, Igor Nunes, Tony Givargis, Alex Nicolau
2025 B conf
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration.
IJCNN
Mike Heddes, Narayan Srinivasa, Tony Givargis, Alex Nicolau
2025 J jnl
Classification using hyperdimensional computing: a review with comparative analysis.
Artif. Intell. Rev.
Pere Vergés, Mike Heddes, Igor Nunes, Denis Kleyko, Tony Givargis, Alexandru Nicolau
2025 A* conf
DeepCrossAttention: Supercharging Transformer Residual Connections.
ICML
Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni
2025 J jnl
DeepCrossAttention: Supercharging Transformer Residual Connections.
CoRR
Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni
2024 J jnl
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration.
CoRR
Mike Heddes, Narayan Srinivasa, Tony Givargis, Alexandru Nicolau
2024 J jnl
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries.
CoRR
Mike Heddes, Igor Nunes, Tony Givargis, Alex Nicolau
2024 J jnl
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries.
Proc. ACM Manag. Data
Mike Heddes, Igor Nunes, Tony Givargis, Alex Nicolau
2024 J jnl
Hyperdimensional computing: a framework for stochastic computation and symbolic AI.
J. Big Data
Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
2024 B conf
Molecular Classification Using Hyperdimensional Graph Classification.
IJCNN
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
2024 J jnl
Molecular Classification Using Hyperdimensional Graph Classification.
CoRR
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
2023 B conf
Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems.
RTCSA
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
2023 A* conf
An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing.
DAC
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
2023 A* conf
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication.
KDD
Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis
2023 J jnl
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication.
CoRR
Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alexandru Nicolau, Tony Givargis
2023 J jnl
HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing.
CoRR
Pere Vergés, Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau
2023 J jnl
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures.
J. Mach. Learn. Res.
Mike Heddes, Igor Nunes, Pere Vergés, Denis Kleyko, Danny Abraham, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
2022 J jnl
An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing.
CoRR
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau
2022 A conf
GraphHD: Efficient graph classification using hyperdimensional computing.
DATE
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
2022 J jnl
GraphHD: Efficient graph classification using hyperdimensional computing.
CoRR
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
2022 J jnl
Hyperdimensional Hashing: A Robust and Efficient Dynamic Hash Table.
CoRR
Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
2022 A* conf
Hyperdimensional hashing: a robust and efficient dynamic hash table.
DAC
Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum
2022 J jnl
Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research.
CoRR
Mike Heddes, Igor Nunes, Pere Vergés, Dheyay Desai, Tony Givargis, Alexandru Nicolau