Nick Pawlowski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
5
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention. | Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma |
| 2024 | MICCAI | Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. | Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel |
| 2023 | ICLR | Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise. | Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski |
| 2023 | ICLR | Measuring axiomatic soundness of counterfactual image models. | Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker |
| 2023 | ICML | High Fidelity Image Counterfactuals with Probabilistic Causal Models. | Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker |
| 2023 | MICCAI | Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. | Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel |
| 2022 | ECCV | Deep Structural Causal Shape Models. | Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker |
| 2019 | MICCAI | Unsupervised Lesion Detection with Locally Gaussian Approximation. | Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu |
| 2019 | MICCAI | Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. | Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz |
| 2018 | WACV | Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. | Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker |
| 2017 | ICLR | Efficient variational Bayesian neural network ensembles for outlier detection. | Nick Pawlowski, Miguel Jaques, Ben Glocker |
| 2017 | MICCAI | Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. | Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker |