Luke Wood

According to our database, Luke Wood authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Scaling Continuous Kernels with Sparse Fourier Domain Learning.

Clayton A. Harper, Luke Wood, Peter Gerstoft, Mitchell A. Thornton, Eric C. Larson

Proceedings of the Applied Imagery Pattern Recognition, 2025

2024

KerasCV and KerasNLP: Multi-framework Models.

Matthew Watson, Divyashree Shivakumar Sreepathihalli, François Chollet, Martin Görner, Kiranbir Sodhia, Ramesh Sampath, Tirth Patel, Hai Jin, Neel Kovelamudi, Gabriel Rasskin, Samaneh Saadat, Luke Wood, Chen Qian, Jonathan Bischof, Ian Stenbit, Abheesht Sharma, Anshuman Mishra

J. Mach. Learn. Res., 2024

Scaling Continuous Kernels with Sparse Fourier Domain Learning.

Clayton A. Harper, Luke Wood, Peter Gerstoft, Eric C. Larson

CoRR, 2024

KerasCV and KerasNLP: Vision and Language Power-Ups.

Matthew Watson, Divyashree Shivakumar Sreepathihalli, François Chollet, Martin Görner, Kiranbir Sodhia, Ramesh Sampath, Tirth Patel, Hai Jin, Neel Kovelamudi, Gabriel Rasskin, Samaneh Saadat, Luke Wood, Chen Qian, Jonathan Bischof, Ian Stenbit, Abheesht Sharma, Anshuman Mishra

CoRR, 2024

2022

Deep Learning Object Detection Approaches to Source Identification.

Luke Wood, Kevin Anderson, Peter Gerstoft

CoRR, 2022

Efficient Graph-Friendly COCO Metric Computation for Train-Time Model Evaluation.

Luke Wood, François Chollet

CoRR, 2022

2021

Smart City Mobile IoT Management with DLTs.

Shaibal Chakrabarty, Daniel W. Engels, Luke Wood

Proceedings of the IEEE International Conference on Consumer Electronics, 2021

Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks.

Luke Wood, Eric C. Larson

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Consumer Frameworks for Smart Environments.

Shaibal Chakrabarty, Daniel W. Engels, Luke Wood

Proceedings of the 10th IEEE International Conference on Consumer Electronics, 2020