Interactive Knowledge-Based Kernel PCA. - Dino Oglic; Daniel Paurat; Thomas Gärtner 001 (ECML/PKDD (2), 2014)

Greedy Feature Construction. - Dino Oglic; Thomas Gärtner 001 (NIPS, 2016)

Active Search in Intensionally Specified Structured Spaces. - Dino Oglic; Roman Garnett; Thomas Gärtner 001 (AAAI, 2017)

Nyström Method with Kernel K-means++ Samples as Landmarks. - Dino Oglic; Thomas Gärtner 001 (ICML, 2017)

Learning in Reproducing Kernel Krein Spaces. - Dino Oglic; Thomas Gärtner 001 (ICML, 2018)

A Unified Analysis of Random Fourier Features. - Zhu Li; Jean-Francois Ton; Dino Oglic; Dino Sejdinovic (CoRR, 2018)

Large Scale Learning with Kreĭn Kernels. - Dino Oglic; Thomas Gärtner 001 (CoRR, 2018)

Constructive Approximation and Learning by Greedy Algorithms. - Dino Oglic (2018)

Scalable Learning in Reproducing Kernel Krein Spaces. - Dino Oglic; Thomas Gärtner 001 (ICML, 2019)

Parzen Filters for Spectral Decomposition of Signals. - Dino Oglic; Zoran Cvetkovic; Peter Sollich (CoRR, 2019)

Deep Scattering Power Spectrum Features for Robust Speech Recognition. - Neethu M. Joy; Dino Oglic; Zoran Cvetkovic; Peter Bell 001; Steve Renals (INTERSPEECH, 2020)

A Deep 2D Convolutional Network for Waveform-Based Speech Recognition. - Dino Oglic; Zoran Cvetkovic; Peter Bell 001; Steve Renals (INTERSPEECH, 2020)

Towards a Unified Analysis of Random Fourier Features. - Zhu Li; Jean-Francois Ton; Dino Oglic; Dino Sejdinovic (J. Mach. Learn. Res., 2021)

Learning Waveform-Based Acoustic Models Using Deep Variational Convolutional Neural Networks. - Dino Oglic; Zoran Cvetkovic; Peter Sollich (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

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

Towards Robust Waveform-Based Acoustic Models. - Dino Oglic; Zoran Cvetkovic; Peter Sollich; Steve Renals; Bin Yu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Hybrid GCN-LSTM Model for Ventricular Arrhythmia Classification Based on ECG Pattern Similarity. - Qing Lin; Dino Oglic; Hak-Keung Lam; Michael J. Curtis; Zoran Cvetkovic (EMBC, 2024)

Improving Antibody Humanness Prediction using Patent Data. - Talip Ucar; Aubin Ramon; Dino Oglic; Rebecca Croasdale-Wood; Tom Diethe; Pietro Sormanni (ICML, 2024)

Masked Attention is All You Need for Graphs. - David Buterez; Jon Paul Janet; Dino Oglic; Pietro Lio (CoRR, 2024)

Active learning for affinity prediction of antibodies. - Alexandra Gessner; Sebastian W. Ober; Owen Vickery; Dino Oglic; Talip Uçar (CoRR, 2024)

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 (ICLR, 2025)

Ventricular Arrhythmia Classification Using Similarity Maps and Hierarchical Multi-Stream Deep Learning. - Qing Lin; Dino Oglic; Michael J. Curtis; Hak-Keung Lam; Zoran Cvetkovic (IEEE Trans. Biomed. Eng., 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 Teare; Huiyu Zhou 001; Chen Jin (CoRR, 2025)