Fergus Imrie - RankMe

45 papers A* 11A 3Journal 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing the Chemical Intelligence of Large Language Models. J. Chem. Inf. Model. Nicholas T. Runcie, Charlotte M. Deane, Fergus Imrie
2025	J	`jnl`	Assessing the Chemical Intelligence of Large Language Models. CoRR Nicholas T. Runcie, Charlotte M. Deane, Fergus Imrie
2025	J	`jnl`	Automated Ensemble Multimodal Machine Learning for Healthcare. IEEE J. Biomed. Health Informatics Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar
2025	J	`jnl`	MolSnapper: Conditioning Diffusion for Structure-Based Drug Design. J. Chem. Inf. Model. Yael Ziv, Fergus Imrie, Brian D. Marsden, Charlotte M. Deane
2025	J	`jnl`	Redefining digital health interfaces with large language models. Frontiers Artif. Intell. Fergus Imrie, Paulius Rauba, Mihaela van der Schaar
2025	A*	`conf`	Stochastic Encodings for Active Feature Acquisition. ICML Alexander Luke Ian Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio
2025	J	`jnl`	Stochastic Encodings for Active Feature Acquisition. CoRR Alexander Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio
2024	A*	`conf`	A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	J	`jnl`	Automated Ensemble Multimodal Machine Learning for Healthcare. CoRR Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar
2024	A*	`conf`	Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. ICLR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. CoRR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	Navigating Data-Centric Artificial Intelligence With DC-Check: Advances, Challenges, and Opportunities. IEEE Trans. Artif. Intell. Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	You can't handle the (dirty) truth: Data-centric Insights Improve Pseudo-Labeling. J. Data-centric Mach. Learn. Res. Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling. CoRR Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2023	A*	`conf`	Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. NeurIPS Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. CoRR Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	A*	`conf`	Differentiable and Transportable Structure Learning. ICML Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	A	`conf`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. AISTATS Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. CoRR Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Machine Learning with Requirements: a Manifesto. CoRR Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz
2023	J	`jnl`	Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare. Nat. Mac. Intell. Fergus Imrie, Robert Davis, Mihaela van der Schaar
2023	J	`jnl`	Redefining Digital Health Interfaces with Large Language Models. CoRR Fergus Imrie, Paulius Rauba, Mihaela van der Schaar
2023	A	`conf`	SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. AISTATS Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar
2023	J	`jnl`	SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. CoRR Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar
2023	A*	`conf`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. ICLR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. CoRR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Testing the limits of SMILES-based de novo molecular generation with curriculum and deep reinforcement learning. Nat. Mac. Intell. Maranga Mokaya, Fergus Imrie, Willem P. van Hoorn, Aleksandra Kalisz, Anthony R. Bradley, Charlotte M. Deane
2023	A	`conf`	To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2022	J	`jnl`	AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning. CoRR Fergus Imrie, Bogdan Cebere, Eoin F. McKinney, Mihaela van der Schaar
2022	A*	`conf`	Composite Feature Selection Using Deep Ensembles. NeurIPS Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar
2022	J	`jnl`	Composite Feature Selection using Deep Ensembles. CoRR Fergus Imrie, Alexander Norcliffe, Pietro Liò, Mihaela van der Schaar
2022	A*	`conf`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. ICML Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. CoRR Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems. CoRR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2022	J	`jnl`	Differentiable and Transportable Structure Learning. CoRR Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2022	J	`jnl`	Incorporating Target-Specific Pharmacophoric Information into Deep Generative Models for Fragment Elaboration. J. Chem. Inf. Model. Thomas E. Hadfield, Fergus Imrie, Andy Merritt, Kristian Birchall, Charlotte M. Deane
2022	A*	`conf`	Self-Supervision Enhanced Feature Selection with Correlated Gates. ICLR Changhee Lee, Fergus Imrie, Mihaela van der Schaar
2022	J	`jnl`	To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2021	A*	`conf`	Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation. NeurIPS Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar
2021	A*	`conf`	Explaining Latent Representations with a Corpus of Examples. NeurIPS Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
2021	J	`jnl`	Explaining Latent Representations with a Corpus of Examples. CoRR Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
2021	J	`jnl`	Generating property-matched decoy molecules using deep learning. Bioinform. Fergus Imrie, Anthony R. Bradley, Charlotte M. Deane
2020	J	`jnl`	Deep Generative Models for 3D Linker Design. J. Chem. Inf. Model. Fergus Imrie, Anthony R. Bradley, Mihaela van der Schaar, Charlotte M. Deane
2018	J	`jnl`	Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data. J. Chem. Inf. Model. Fergus Imrie, Anthony R. Bradley, Mihaela van der Schaar, Charlotte M. Deane