Igor Nunes

According to our database, Igor Nunes authored at least 19 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Approximating Tensor Network Contraction with Sketches.

Mike Heddes, Igor Nunes, Tony Givargis, Alex Nicolau

CoRR, March, 2026

2025

UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025.

Pablo Ezequiel Moraes, Mónica Rodríguez, Sebastian Barcelona, Angél da Silva, Santiago Fernández, Hiago Sodre, Igor Nunes, Bruna Guterres, Ricardo B. Grando

CoRR, June, 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., June, 2025

RoboCup Rescue 2025 Team Description Paper UruBots.

Kevin Farias, Pablo Ezequiel Moraes, Igor Nunes, Juan Deniz, Sebastian Barcelona, Hiago Sodre, William Moraes, Mónica Rodríguez, Ahilen Mazondo, Vincent Sandin, Gabriel da Silva, Victoria Saravia, Vinicio Melgar, Santiago Fernández, Ricardo B. Grando

CoRR, April, 2025

UruBots RoboCup Work Team Description Paper.

Hiago Sodre, Juan M. Deniz, Pablo Ezequiel Moraes, William Moraes, Igor Nunes, Vincent Sandin, Ahilen Mazondo, Santiago Fernández, Gabriel da Silva, Mónica Rodríguez, Sebastian Barcelona, Ricardo B. Grando

CoRR, April, 2025

A transient equivalence between Aldous-Broder and Wilson's algorithms and a two-stage framework for generating uniform spanning trees.

Igor Nunes, Giulio Iacobelli, Daniel Ratton Figueiredo

Discret. Math., 2025

Mini Autonomous Car Driving Based on 3D Convolutional Neural Networks.

Pablo Ezequiel Moraes, Mónica Rodríguez, Kristofer S. Kappel, Hiago Sodre, Santiago Fernández, Igor Nunes, Bruna Guterres, Ricardo B. Grando

Proceedings of the 2025 Brazilian Symposium on Robotics (SBR) and 2025 Workshop on Robotics in Education (WRE), 2025

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, December, 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

Molecular Classification Using Hyperdimensional Graph Classification.

Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau

Proceedings of the International Joint Conference on Neural Networks, 2024

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

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

Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems.

Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau

Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing.

Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

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

GraphHD: Efficient graph classification using hyperdimensional computing.

Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Hyperdimensional hashing: a robust and efficient dynamic hash table.

Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alexander V. Veidenbaum

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2018

Combining Spatial and Social Awareness in D2D Opportunistic Routing.

Ivan Oliveira Nunes, Clayson Celes, Igor Nunes, Pedro O. S. Vaz de Melo, Antonio A. F. Loureiro

IEEE Commun. Mag., 2018