Daniel Ward

18 papers A* 3A 1B 1Misc 2Journal 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
SoftCVI: Contrastive variational inference with self-generated soft labels.
ICLR
Daniel Ward, Mark Beaumont, Matteo Fasiolo
2025 A* conf
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation.
ICLR
Fredrik Carlsson, Fangyu Liu, Daniel Ward, Murathan Kurfali, Joakim Nivre
2024 J jnl
SoftCVI: contrastive variational inference with self-generated soft labels.
CoRR
Daniel Ward, Mark Beaumont, Matteo Fasiolo
2024 J jnl
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation.
CoRR
Fredrik Carlsson, Fangyu Liu, Daniel Ward, Murathan Kurfali, Joakim Nivre
2022 J jnl
COVID-profiler: a webserver for the analysis of SARS-CoV-2 sequencing data.
BMC Bioinform.
Jody Phelan, Wouter Deelder, Daniel Ward, Susana G. Campino, Martin L. Hibberd, Taane G. Clark
2022 J jnl
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference.
CoRR
Patrick Cannon, Daniel Ward, Sebastian M. Schmon
2022 A* conf
Robust Neural Posterior Estimation and Statistical Model Criticism.
NeurIPS
Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon
2022 J jnl
Robust Neural Posterior Estimation and Statistical Model Criticism.
CoRR
Daniel Ward, Patrick Cannon, Mark Beaumont, Matteo Fasiolo, Sebastian M. Schmon
2020 Misc conf
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience.
CoRL
Robert Lee, Daniel Ward, Vibhavari Dasagi, Akansel Cosgun, Juxi Leitner, Peter Corke
2020 J jnl
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience.
CoRR
Robert Lee, Daniel Ward, Akansel Cosgun, Vibhavari Dasagi, Peter Corke, Jürgen Leitner
2020 J jnl
Scalable learning for bridging the species gap in image-based plant phenotyping.
CoRR
Daniel Ward, Peyman Moghadam
2020 J jnl
Scalable learning for bridging the species gap in image-based plant phenotyping.
Comput. Vis. Image Underst.
Daniel Ward, Peyman Moghadam
2020 B conf
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.
ICPR
Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam
2020 J jnl
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.
CoRR
Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam
2019 J jnl
PrimedRPA: primer design for recombinase polymerase amplification assays.
Bioinform.
Matthew Higgins, Matt Ravenhall, Daniel Ward, Jody Phelan, Amy Ibrahim, Matthew S. Forrest, Taane G. Clark, Susana G. Campino
2018 A conf
Deep Leaf Segmentation Using Synthetic Data.
BMVC
Daniel Ward, Peyman Moghadam, Nicolas Hudson
2018 J jnl
Deep Leaf Segmentation Using Synthetic Data.
CoRR
Daniel Ward, Peyman Moghadam, Nicolas Hudson
2017 Misc conf
Plant Disease Detection Using Hyperspectral Imaging.
DICTA
Peyman Moghadam, Daniel Ward, Ethan Goan, Srimal Jayawardena, Pavan Sikka, Emili Hernández