Philip Teare - RankMe

15 papers A* 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoRefine: Confidence-Guided Self-Refinement for Adaptive Test-Time Compute. CoRR Chen Jin, Ryutaro Tanno, Tom Diethe, Philip Teare
2025	J	`jnl`	Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation. CoRR Lei Tong, Zhihua Liu, Chaochao Lu, Dino Oglic, Tom Diethe, Philip Teare, Sotirios A. Tsaftaris, Chen Jin
2025	J	`jnl`	Diffusion Instruction Tuning. CoRR Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare
2025	J	`jnl`	Exploring interpretable echo analysis using self-supervised parcels. Comput. Biol. Medicine Sylwia Majchrowska, Anders Hildeman, Ricardo Mokhtari, Tom Diethe, Philip Teare
2025	J	`jnl`	Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States. CoRR Qinglin Zhu, Yizhen Yao, Runcong Zhao, Yanzheng Xiang, Amrutha Saseendran, Chen Jin, Philip Teare, Bin Liang, Yulan He, Lin Gui
2025	J	`jnl`	Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation. CoRR Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Teare, Huiyu Zhou, Chen Jin
2024	A*	`conf`	An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning. ICML Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare
2024	J	`jnl`	DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations. CoRR Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran
2024	—	`conf`	Tackling Structural Hallucination in Image Translation with Local Diffusion. ECCV (81) Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander
2024	J	`jnl`	Tackling Structural Hallucination in Image Translation with Local Diffusion. CoRR Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander
2023	J	`jnl`	An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning. CoRR Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare
2023	J	`jnl`	Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
2023	J	`jnl`	Unlocking the Heart Using Adaptive Locked Agnostic Networks. CoRR Sylwia Majchrowska, Anders Hildeman, Philip Teare, Tom Diethe
2022	J	`jnl`	Classification of datasets with imputed missing values: does imputation quality matter? CoRR Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
2017	J	`jnl`	Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement. J. Digit. Imaging Philip Teare, Michael Fishman, Oshra Benzaquen, Eyal Toledano, Eldad Elnekave