Oglic, Dino

14 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 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

NeurIPSW 2024 Active Learning for Affinity Prediction of Antibodies Alexandra Gessner, Sebastian W. Ober, Owen Niall Vickery, Dino Oglic, Talip Ucar

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

ICLRW 2024 P-IgGen: A Paired Antibody Generative Language Model Oliver M. Turnbull, Dino Oglic, Charlotte Deane

NeurIPS 2022 Graph Neural Networks with Adaptive Readouts David Buterez, Jon Paul Janet, Steven J Kiddle, Dino Oglic, Pietro Liò

JMLR 2021 Towards a Unified Analysis of Random Fourier Features Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

ICML 2019 Scalable Learning in Reproducing Kernel Krein Spaces Dino Oglic, Thomas Gärtner

ICML 2019 Towards a Unified Analysis of Random Fourier Features Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

ICML 2018 Learning in Reproducing Kernel Kreı̆n Spaces Dino Oglic, Thomas Gaertner

AAAI 2017 Active Search in Intensionally Specified Structured Spaces Dino Oglic, Roman Garnett, Thomas Gärtner

ICML 2017 Nyström Method with Kernel K-Means++ Samples as Landmarks Dino Oglic, Thomas Gärtner

NeurIPS 2016 Greedy Feature Construction Dino Oglic, Thomas Gärtner

ECML-PKDD 2014 Interactive Knowledge-Based Kernel PCA Dino Oglic, Daniel Paurat, Thomas Gärtner