Daniel Ward

According to our database, Daniel Ward authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

SoftCVI: contrastive variational inference with self-generated soft labels.

Daniel Ward, Mark Beaumont, Matteo Fasiolo

CoRR, 2024

2022

COVID-profiler: a webserver for the analysis of SARS-CoV-2 sequencing data.

Jody Phelan, Wouter Deelder, Daniel Ward, Susana G. Campino, Martin L. Hibberd, Taane G. Clark

BMC Bioinform., December, 2022

Investigating the Impact of Model Misspecification in Neural Simulation-based Inference.

Patrick Cannon, Daniel Ward, Sebastian M. Schmon

CoRR, 2022

Robust Neural Posterior Estimation and Statistical Model Criticism.

Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Scalable learning for bridging the species gap in image-based plant phenotyping.

Daniel Ward, Peyman Moghadam

Comput. Vis. Image Underst., 2020

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.

Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam

CoRR, 2020

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.

Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience.

Robert Lee, Daniel Ward, Vibhavari Dasagi, Akansel Cosgun, Juxi Leitner, Peter Corke

Proceedings of the 4th Conference on Robot Learning, 2020

2019

PrimedRPA: primer design for recombinase polymerase amplification assays.

Matthew Higgins, Matt Ravenhall, Daniel Ward, Jody Phelan, Amy Ibrahim, Matthew S. Forrest, Taane G. Clark, Susana G. Campino

Bioinform., 2019

2018

Deep Leaf Segmentation Using Synthetic Data.

Daniel Ward, Peyman Moghadam, Nicolas Hudson

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Plant Disease Detection Using Hyperspectral Imaging.

Peyman Moghadam, Daniel Ward, Ethan Goan, Srimal Jayawardena, Pavan Sikka, Emili Hernández

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017