Philip Teare

According to our database, Philip Teare authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CoRefine: Confidence-Guided Self-Refinement for Adaptive Test-Time Compute.

Chen Jin, Ryutaro Tanno, Tom Diethe, Philip Teare

CoRR, February, 2026

Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding.

Yanzheng Xiang, Lan Wei, Yizhen Yao, Qinglin Zhu, Hanqi Yan, Chen Jin, Philip Alexander Teare, Dandan Zhang, Lin Gui, Amrutha Saseendran, Yulan He

CoRR, February, 2026

2025

Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States.

Qinglin Zhu, Yizhen Yao, Runcong Zhao, Yanzheng Xiang, Amrutha Saseendran, Chen Jin, Philip Teare, Bin Liang, Yulan He, Lin Gui

CoRR, October, 2025

Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation.

Lei Tong, Zhihua Liu, Chaochao Lu, Dino Oglic, Tom Diethe, Philip Teare, Sotirios A. Tsaftaris, Chen Jin

CoRR, September, 2025

Exploring interpretable echo analysis using self-supervised parcels.

Sylwia Majchrowska, Anders Hildeman, Ricardo Mokhtari, Tom Diethe, Philip Teare

Comput. Biol. Medicine, 2025

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation.

Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Alexander Teare, Huiyu Zhou, Chen Jin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Diffusion Instruction Tuning.

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Balancing Act: Diversity and Consistency in Large Language Model Ensembles.

Ahmed Abdulaal, Chen Jin, Nina Montaña Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations.

Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Alexander Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning.

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tackling Structural Hallucination in Image Translation with Local Diffusion.

Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Navigating the development challenges in creating complex data systems.

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

Nat. Mac. Intell., July, 2023

An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning.

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare

CoRR, 2023

Unlocking the Heart Using Adaptive Locked Agnostic Networks.

Sylwia Majchrowska, Anders Hildeman, Philip Teare, Tom Diethe

CoRR, 2023

2022

Classification of datasets with imputed missing values: does imputation quality matter?

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

CoRR, 2022

2017

Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Philip Teare, Michael Fishman, Oshra Benzaquen, Eyal Toledano, Eldad Elnekave

J. Digit. Imaging, 2017