Daniel Ward

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Statistical Model

Hyperspectral Imaging

Temporally Coherent

Video Representation

Top Venues

Publications

Daniel Ward, Mark Beaumont, Matteo Fasiolo
SoftCVI: contrastive variational inference with self-generated soft labels. CoRR (2024)
Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon
Robust Neural Posterior Estimation and Statistical Model Criticism. NeurIPS (2022)
Patrick Cannon, Daniel Ward, Sebastian M. Schmon
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference. CoRR (2022)
Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon
Robust Neural Posterior Estimation and Statistical Model Criticism. CoRR (2022)
Jody Phelan, Wouter Deelder, Daniel Ward, Susana G. Campino, Martin L. Hibberd, Taane G. Clark
COVID-profiler: a webserver for the analysis of SARS-CoV-2 sequencing data. BMC Bioinform. 23 (1) (2022)
Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. ICPR (2020)
Daniel Ward, Peyman Moghadam
Scalable learning for bridging the species gap in image-based plant phenotyping. CoRR (2020)
Robert Lee, Daniel Ward, Vibhavari Dasagi, Akansel Cosgun, Juxi Leitner, Peter Corke
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience. CoRL (2020)
Robert Lee, Daniel Ward, Akansel Cosgun, Vibhavari Dasagi, Peter Corke, Jürgen Leitner
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience. CoRR (2020)
Daniel Ward, Peyman Moghadam
Scalable learning for bridging the species gap in image-based plant phenotyping. Comput. Vis. Image Underst. (2020)
Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. CoRR (2020)
Matthew Higgins, Matt Ravenhall, Daniel Ward, Jody Phelan, Amy Ibrahim, Matthew S. Forrest, Taane G. Clark, Susana G. Campino
PrimedRPA: primer design for recombinase polymerase amplification assays. Bioinform. 35 (4) (2019)
Daniel Ward, Peyman Moghadam, Nicolas Hudson
Deep Leaf Segmentation Using Synthetic Data. BMVC (2018)
Daniel Ward, Peyman Moghadam, Nicolas Hudson
Deep Leaf Segmentation Using Synthetic Data. CoRR (2018)
Peyman Moghadam, Daniel Ward, Ethan Goan, Srimal Jayawardena, Pavan Sikka, Emili Hernández
Plant Disease Detection Using Hyperspectral Imaging. DICTA (2017)