Diethe, Tom

20 publications

ICLR 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

ICML 2025 Diffusion Instruction Tuning Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare

ICML 2025 Return of the Latent Space COWBOYS: Re-Thinking the Use of VAEs for Bayesian Optimisation of Structured Spaces Henry Moss, Sebastian W. Ober, Tom Diethe

ICML 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

ICML 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 Alexander Teare

NeurIPSW 2024 Big Batch Bayesian Active Learning by Considering Predictive Probabilities Sebastian W. Ober, Samuel Power, Tom Diethe, Henry Moss

ICML 2024 Improving Antibody Humanness Prediction Using Patent Data Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni

ICML 2024 Measures of Diversity and Space-Filling Designs for Categorical Data Cedric Malherbe, Emilio Domı́nguez-Sánchez, Merwan Barlier, Igor Colin, Haitham Bou Ammar, Tom Diethe

ECCV 2024 Tackling Structural Hallucination in Image Translation with Local Diffusion Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry FJ Tregidgo, Asher Mullokandov, Philip A Teare, Daniel Alexander

NeurIPSW 2021 Continual Density Ratio Estimation Yu Chen, Song Liu, Tom Diethe, Peter Flach

ICML 2020 Optimal Continual Learning Has Perfect Memory and Is NP-Hard Jeremias Knoblauch, Hisham Husain, Tom Diethe

AISTATS 2019 $β^3$-IRT: A New Item Response Model and Its Applications Yu Chen, Telmo Silva Filho, Ricardo B. Prudencio, Tom Diethe, Peter Flach

ICML 2019 Distribution Calibration for Regression Hao Song, Tom Diethe, Meelis Kull, Peter Flach

IJCAI 2016 ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home Yu Chen, Tom Diethe, Peter A. Flach

MLJ 2016 On the Need for Structure Modelling in Sequence Prediction Niall Twomey, Tom Diethe, Peter A. Flach

ECML-PKDD 2015 Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics Tom Diethe, Niall Twomey, Peter A. Flach

AISTATS 2012 Data Dependent Kernels in Nearly-Linear Time Guy Lever, Tom Diethe, John Shawe-Taylor

ECML-PKDD 2010 Constructing Nonlinear Discriminants from Multiple Data Views Tom Diethe, David R. Hardoon, John Shawe-Taylor

ECML-PKDD 2009 Kernel Polytope Faces Pursuit Tom Diethe, Zakria Hussain

AISTATS 2009 Matching Pursuit Kernel Fisher Discriminant Analysis Tom Diethe, Zakria Hussain, David Hardoon, John Shawe-Taylor