Dino Oglic

30 papers A* 9A 2Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Balancing Act: Diversity and Consistency in Large Language Model Ensembles.
ICLR
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
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 A* conf
Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation.
ICML
Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Alexander Teare, Huiyu Zhou, Chen Jin
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
2025 J jnl
Ventricular Arrhythmia Classification Using Similarity Maps and Hierarchical Multi-Stream Deep Learning.
IEEE Trans. Biomed. Eng.
Qing Lin, Dino Oglic, Michael J. Curtis, Hak-Keung Lam, Zoran Cvetkovic
2024 — conf
A Hybrid GCN-LSTM Model for Ventricular Arrhythmia Classification Based on ECG Pattern Similarity.
EMBC
Qing Lin, Dino Oglic, Hak-Keung Lam, Michael J. Curtis, Zoran Cvetkovic
2024 J jnl
Active learning for affinity prediction of antibodies.
CoRR
Alexandra Gessner, Sebastian W. Ober, Owen Vickery, Dino Oglic, Talip Uçar
2024 A* conf
Improving Antibody Humanness Prediction using Patent Data.
ICML
Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni
2024 J jnl
Improving Antibody Humanness Prediction using Patent Data.
CoRR
Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni
2024 J jnl
Masked Attention is All You Need for Graphs.
CoRR
David Buterez, Jon Paul Janet, Dino Oglic, Pietro Lio
2024 J jnl
p-IgGen: a paired antibody generative language model.
Bioinform.
Oliver M. Turnbull, Dino Oglic, Rebecca Croasdale-Wood, Charlotte M. Deane
2022 A* conf
Graph Neural Networks with Adaptive Readouts.
NeurIPS
David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò
2022 J jnl
Graph Neural Networks with Adaptive Readouts.
CoRR
David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò
2022 J jnl
Towards Robust Waveform-Based Acoustic Models.
IEEE ACM Trans. Audio Speech Lang. Process.
Dino Oglic, Zoran Cvetkovic, Peter Sollich, Steve Renals, Bin Yu
2021 J jnl
Learning Waveform-Based Acoustic Models Using Deep Variational Convolutional Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process.
Dino Oglic, Zoran Cvetkovic, Peter Sollich
2021 J jnl
Towards Robust Waveform-Based Acoustic Models.
CoRR
Dino Oglic, Zoran Cvetkovic, Peter Sollich, Steve Renals, Bin Yu
2021 J jnl
Towards a Unified Analysis of Random Fourier Features.
J. Mach. Learn. Res.
Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
2020 A conf
A Deep 2D Convolutional Network for Waveform-Based Speech Recognition.
INTERSPEECH
Dino Oglic, Zoran Cvetkovic, Peter Bell, Steve Renals
2020 A conf
Deep Scattering Power Spectrum Features for Robust Speech Recognition.
INTERSPEECH
Neethu M. Joy, Dino Oglic, Zoran Cvetkovic, Peter Bell, Steve Renals
2019 J jnl
Parzen Filters for Spectral Decomposition of Signals.
CoRR
Dino Oglic, Zoran Cvetkovic, Peter Sollich
2019 A* conf
Scalable Learning in Reproducing Kernel Krein Spaces.
ICML
Dino Oglic, Thomas Gärtner
2019 A* conf
Towards a Unified Analysis of Random Fourier Features.
ICML
Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
2018 J jnl
A Unified Analysis of Random Fourier Features.
CoRR
Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
2018 — —
Constructive Approximation and Learning by Greedy Algorithms.
Dino Oglic
2018 J jnl
Large Scale Learning with Kreĭn Kernels.
CoRR
Dino Oglic, Thomas Gärtner
2018 A* conf
Learning in Reproducing Kernel Krein Spaces.
ICML
Dino Oglic, Thomas Gärtner
2017 A* conf
Active Search in Intensionally Specified Structured Spaces.
AAAI
Dino Oglic, Roman Garnett, Thomas Gärtner
2017 A* conf
Nyström Method with Kernel K-means++ Samples as Landmarks.
ICML
Dino Oglic, Thomas Gärtner
2016 — conf
Greedy Feature Construction.
NIPS
Dino Oglic, Thomas Gärtner
2014 — conf
Interactive Knowledge-Based Kernel PCA.
ECML/PKDD (2)
Dino Oglic, Daniel Paurat, Thomas Gärtner