| GraphHD: Efficient graph classification using hyperdimensional computing I Nunes, M Heddes, T Givargis, A Nicolau, A Veidenbaum 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 28 | 2022 |
| Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures M Heddes, I Nunes, P Vergés, D Kleyko, D Abraham, T Givargis, ... Journal of Machine Learning Research, 2023 | 20* | 2023 |
| Hyperdimensional Hashing: A Robust and Efficient Dynamic Hash Table M Heddes, I Nunes, T Givargis, A Nicolau, A Veidenbaum Proceedings of the 59th ACM/IEEE Design Automation Conference, 907–912, 2022 | 11 | 2022 |
| An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing I Nunes, M Heddes, T Givargis, A Nicolau Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023 | 8 | 2023 |
| EdgeAvatar: An Edge Computing System for Building Virtual Beings N Watkinson, F Zaitsev, A Shivam, M Demirev, M Heddes, T Givargis, ... Electronics 10 (3), 229, 2021 | 6 | 2021 |
| Classification using Hyperdimensional Computing: A Review with Comparative Analysis P Vergés, M Heddes, I Nunes, T Givargis, A Nicolau | 3 | 2023 |
| Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems P Vergés, I Nunes, M Heddes, T Givargis, A Nicolau 2023 IEEE 29th International Conference on Embedded and Real-Time Computing …, 2023 | 3 | 2023 |
| HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing P Vergés, M Heddes, I Nunes, T Givargis, A Nicolau arXiv preprint arXiv:2304.12398, 2023 | 3 | 2023 |
| DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication I Nunes, M Heddes, P Vergés, D Abraham, A Veidenbaum, A Nicolau, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Darioizzo/audi: Update third party dependencies D Izzo, F Biscani, C Sánchez, J Müller, M Heddes Zenodo, 2019 | 1 | 2019 |
| Molecular Classification Using Hyperdimensional Graph Classification P Verges, I Nunes, M Heddes, T Givargis, A Nicolau arXiv preprint arXiv:2403.12307, 2024 | | 2024 |
| Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries M Heddes, I Nunes, T Givargis, A Nicolau Proceedings of the 2024 ACM SIGMOD International Conference on Management of …, 2024 | | 2024 |
| Always-Sparse Training by Growing Connections with Guided Stochastic Exploration M Heddes, N Srinivasa, T Givargis, A Nicolau arXiv preprint arXiv:2401.06898, 2024 | | 2024 |
| Differentiable Cartesian Genetic Programming as a Service M Heddes | | 2019 |
Alex NicolauProfessor of Computer Science, University of CaliforniaVerified email at ics.uci.edu
