Hyperdimensional hashing: a robust and efficient dynamic hash table. - Mike Heddes; Igor Nunes; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (DAC, 2022)

GraphHD: Efficient graph classification using hyperdimensional computing. - Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (DATE, 2022)

Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research. - Mike Heddes; Igor Nunes; Pere Vergés; Dheyay Desai; Tony Givargis; Alexandru Nicolau (CoRR, 2022)

An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing. - Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau (DAC, 2023)

DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. - Igor Nunes; Mike Heddes; Pere Vergés; Danny Abraham; Alexander V. Veidenbaum; Alex Nicolau; Tony Givargis (KDD, 2023)

Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems. - Pere Vergés; Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau (RTCSA, 2023)

HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing. - Pere Vergés; Mike Heddes; Igor Nunes; Tony Givargis; Alexandru Nicolau (CoRR, 2023)

Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures. - Mike Heddes; Igor Nunes; Pere Vergés; Denis Kleyko; Danny Abraham; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (J. Mach. Learn. Res., 2023)

Molecular Classification Using Hyperdimensional Graph Classification. - Pere Vergés; Igor Nunes; Mike Heddes; Tony Givargis; Alexandru Nicolau (IJCNN, 2024)

Always-Sparse Training by Growing Connections with Guided Stochastic Exploration. - Mike Heddes; Narayan Srinivasa; Tony Givargis; Alexandru Nicolau (CoRR, 2024)

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries. - Mike Heddes; Igor Nunes; Tony Givargis; Alex Nicolau (Proc. ACM Manag. Data, 2024)

Hyperdimensional computing: a framework for stochastic computation and symbolic AI. - Mike Heddes; Igor Nunes; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (J. Big Data, 2024)

DeepCrossAttention: Supercharging Transformer Residual Connections. - Mike Heddes; Adel Javanmard; Kyriakos Axiotis; Gang Fu; MohammadHossein Bateni; Vahab Mirrokni (CoRR, 2025)

Classification using hyperdimensional computing: a review with comparative analysis. - Pere Vergés; Mike Heddes; Igor Nunes; Denis Kleyko; Tony Givargis; Alexandru Nicolau (Artif. Intell. Rev., 2025)