Dino Oglic

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Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Zoran CvetkovicProfessor of Signal Processing, King's College LondonVerified email at byzanblue.net
David ButerezPhD student, University of CambridgeVerified email at cam.ac.uk
Jon Paul JanetAstraZeneca R&DVerified email at astrazeneca.com
Pietro LiòProfessor, University of CambridgeVerified email at cam.ac.uk
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Jean-Francois TonByteDance ResearchVerified email at bytedance.com
Zhu Li (Michael)University College LondonVerified email at ucl.ac.uk
Steven KiddleAstraZenecaVerified email at astrazeneca.com
Roman GarnettWashington University in St. LouisVerified email at wustl.edu
Steve RenalsUniversity of EdinburghVerified email at ed.ac.uk
Daniel PauratTelekom Deutschland TechnikVerified email at telekom.de
Peter BellUniversity of EdinburghVerified email at ed.ac.uk
Peter SollichProfessor Non-Equilibrium Statistical Physics, Inst. for Theor. Physics, University of GoettingenVerified email at uni-goettingen.de
Jonathan HirstProfessor of Computational Chemistry, University of NottinghamVerified email at nottingham.ac.uk
Neethu Mariam JoyKing's College LondonVerified email at ee.iitm.ac.in
Rebecca Croasdale-WoodAstraZenecaVerified email at astrazeneca.com
Michael J. CurtisKing's College LondonVerified email at kcl.ac.uk
HK Lam, Hak Keung LamDepartment of Engineering, King's College LondonVerified email at kcl.ac.uk
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu

Dino Oglic

AstraZeneca Cambridge

Verified email at astrazeneca.com - Homepage

Machine Learning Kernel Methods Learning Theory Representation Learning Drug Design


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Towards A Unified Analysis of Random Fourier Features Z Li, JF Ton, D Oglic, D Sejdinovic Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019	151	2019
Graph Neural Networks with Adaptive Readouts D Buterez, JP Janet, SJ Kiddle, D Oglic, P Liò Advances in Neural Information Processing Systems, 2022	59	2022
Towards a Unified Analysis of Random Fourier Features Z Li, JF Ton, D Oglic, D Sejdinovic Journal of Machine Learning Research 22 (108), 1-51, 2021	56	2021
Nyström Method with Kernel K-means++ Samples as Landmarks D Oglic, T Gaertner Proceedings of the 34th International Conference on Machine Learning, 2017	48	2017
Learning in reproducing kernel Kreı̆n spaces D Oglic, T Gärtner Proceedings of the 35th International Conference on Machine Learning, 2018	39	2018
Active Search for Computer‐Aided Drug Design D Oglic, SA Oatley, SJF Macdonald, T Mcinally, R Garnett, JD Hirst, ... Molecular Informatics, 2018	31	2018
Scalable Learning in Reproducing Kernel Krein Spaces D Oglic, T Gärtner Proceedings of the 36th International Conference on Machine Learning, 4912-4921, 2019	26	2019
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting D Buterez, JP Janet, S Kiddle, D Oglic, P Liò Nature Communications 15, 2024	16	2024
Greedy Feature Construction D Oglic, T Gaertner Advances in Neural Information Processing Systems, 2016	16	2016
A Deep 2D Convolutional Network for Waveform-based Speech Recognition D Oglic, Z Cvetkovic, P Bell, S Renals The 21st Annual Conference of International Speech Communication Association …, 2020	15	2020
Interactive Knowledge-Based Kernel PCA⋆ D Oglic, D Paurat, T Gärtner Proceedings of Machine Learning and Knowledge Discovery in Databases …, 2014	15	2014
Modelling local and general quantum mechanical properties with attention-based pooling D Buterez, JP Janet, SJ Kiddle, D Oglic, P Liò Communications Chemistry 6, 2023	10	2023
Active search in intensionally specified structured spaces D Oglic, R Garnett, T Gärtner Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017	10	2017
Learning Waveform-Based Acoustic Models Using Deep Variational Convolutional Neural Networks D Oglic, Z Cvetkovic, P Sollich IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2850-2863, 2021	9	2021
Deep Scattering Power Spectrum Features for Robust Speech Recognition NM Joy, D Oglic, Z Cvetkovic, P Bell, S Renals The 21st Annual Conference of International Speech Communication Association …, 2020	9	2020
Supervised PCA for interactive data analysis D Paurat, D Oglic, T Gärtner 2nd NIPS Workshop on Spectral Learning, 2013	9	2013
Towards Robust Waveform-Based Acoustic Models D Oglic, Z Cvetkovic, P Sollich, S Renals, B Yu IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1977-1992, 2022	3	2022
Constructive Approximation and Learning by Greedy Algorithms D Oglic Universitäts-und Landesbibliothek Bonn, 2018	3	2018
Synthetic data in biomedicine via generative artificial intelligence B van Breugel, T Liu, D Oglic, M van der Schaar Nature Reviews Bioengineering, 1-14, 2024	2	2024
Active learning for affinity prediction of antibodies A Gessner, SW Ober, O Vickery, D Oglic, T Uçar NeurIPS Workshop on Bayesian Decision-making and Uncertainty, 2024	2	2024

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