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Igor Nunes
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 17
Top Topics
Hash Table
Join Queries
Similarity Metric
Query Optimizers
Top Venues
CoRR
DAC
Proc. ACM Manag. Data
RTCSA
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Publications
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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)
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)
Igor Nunes
,
Giulio Iacobelli
,
Daniel Ratton Figueiredo
A transient equivalence between Aldous-Broder and Wilson's algorithms and a two-stage framework for generating uniform spanning trees.
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)
Ivan Oliveira Nunes
,
Clayson Celes
,
Igor Nunes
,
Pedro O. S. Vaz de Melo
,
Antonio A. F. Loureiro
Combining Spatial and Social Awareness in D2D Opportunistic Routing.
IEEE Commun. Mag.
56 (1) (2018)