Nick Pawlowski

49 papers A* 8A 1Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang
2024	—	`conf`	Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. MICCAI (3) Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2024	J	`jnl`	Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. CoRR Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2024	J	`jnl`	The Essential Role of Causality in Foundation World Models for Embodied AI. CoRR Tarun Gupta, Wenbo Gong, Chao Ma, Nick Pawlowski, Agrin Hilmkil, Meyer Scetbon, Ade Famoti, Ashley Juan Llorens, Jianfeng Gao, Stefan Bauer, Danica Kragic, Bernhard Schölkopf, Cheng Zhang
2024	A*	`conf`	Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention. ICML Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma
2023	A*	`conf`	BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. NeurIPS Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	J	`jnl`	BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery. CoRR Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	A*	`conf`	High Fidelity Image Counterfactuals with Probabilistic Causal Models. ICML Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
2023	J	`jnl`	High Fidelity Image Counterfactuals with Probabilistic Causal Models. CoRR Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
2023	—	`conf`	Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. MICCAI (5) Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2023	J	`jnl`	Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. CoRR Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2023	A*	`conf`	Measuring axiomatic soundness of counterfactual image models. ICLR Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
2023	J	`jnl`	Measuring axiomatic soundness of counterfactual image models. CoRR Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
2023	A*	`conf`	Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise. ICLR Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski
2023	J	`jnl`	Understanding Causality with Large Language Models: Feasibility and Opportunities. CoRR Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan
2022	J	`jnl`	Deep End-to-end Causal Inference. CoRR Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
2022	—	`conf`	Deep Structural Causal Shape Models. ECCV Workshops (6) Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker
2022	J	`jnl`	Deep Structural Causal Shape Models. CoRR Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker
2022	J	`jnl`	Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
2022	J	`jnl`	Instructions and Guide: Causal Insights for Learning Paths in Education. CoRR Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang
2022	J	`jnl`	Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise. CoRR Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski
2022	A*	`conf`	Simultaneous Missing Value Imputation and Structure Learning with Groups. NeurIPS Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
2022	J	`jnl`	Structured Uncertainty in the Observation Space of Variational Autoencoders. CoRR James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker
2022	J	`jnl`	Structured Uncertainty in the Observation Space of Variational Autoencoders. Trans. Mach. Learn. Res. James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker
2021	J	`jnl`	Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
2021	J	`jnl`	Normative ascent with local gaussians for unsupervised lesion detection. Medical Image Anal. Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu
2020	J	`jnl`	An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection. CoRR Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul
2020	A*	`conf`	Deep Structural Causal Models for Tractable Counterfactual Inference. NeurIPS Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker
2020	J	`jnl`	Deep Structural Causal Models for Tractable Counterfactual Inference. CoRR Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker
2020	A*	`conf`	Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. NeurIPS Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2020	J	`jnl`	Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. CoRR Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2019	J	`jnl`	Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
2019	J	`jnl`	Is Texture Predictive for Age and Sex in Brain MRI? CoRR Nick Pawlowski, Ben Glocker
2019	J	`jnl`	Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal
2019	—	`conf`	Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. SUSI/PIPPI@MICCAI Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
2019	J	`jnl`	Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound. CoRR Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz
2019	J	`jnl`	TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors. IEEE Trans. Medical Imaging Matthew C. H. Lee, Kersten Petersen, Nick Pawlowski, Ben Glocker, Michiel Schaap
2019	—	`conf`	Unsupervised Lesion Detection with Locally Gaussian Approximation. MLMI@MICCAI Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu
2018	J	`jnl`	Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. CoRR Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu
2018	A	`conf`	Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. WACV Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018	J	`jnl`	NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines. CoRR Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker
2017	J	`jnl`	DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images. CoRR Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl
2017	—	`conf`	Efficient variational Bayesian neural network ensembles for outlier detection. ICLR (Workshop) Nick Pawlowski, Miguel Jaques, Ben Glocker
2017	J	`jnl`	Efficient variational Bayesian neural network ensembles for outlier detection. CoRR Nick Pawlowski, Miguel Jaques, Ben Glocker
2017	—	`conf`	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. BrainLes@MICCAI Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. CoRR Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. CoRR Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
2017	J	`jnl`	Implicit Weight Uncertainty in Neural Networks. CoRR Nick Pawlowski, Martin Rajchl, Ben Glocker
2017	J	`jnl`	Rasa: Open Source Language Understanding and Dialogue Management. CoRR Tom Bocklisch, Joey Faulkner, Nick Pawlowski, Alan Nichol