| 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 | 122 | 2019 |
| Nyström Method with Kernel K-means++ Samples as Landmarks D Oglic, T Gaertner Proceedings of the 34th International Conference on Machine Learning, 2017 | 42 | 2017 |
| 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 | 38 | 2021 |
| Learning in reproducing kernel Kreı̆n spaces D Oglic, T Gärtner Proceedings of the 35th International Conference on Machine Learning, 2018 | 32 | 2018 |
| Active Search for Computer‐Aided Drug Design D Oglic, SA Oatley, SJF Macdonald, T Mcinally, R Garnett, JD Hirst, ... Molecular Informatics, 2018 | 27 | 2018 |
| Scalable Learning in Reproducing Kernel Krein Spaces D Oglic, T Gärtner Proceedings of the 36th International Conference on Machine Learning, 4912-4921, 2019 | 22 | 2019 |
| Greedy Feature Construction D Oglic, T Gaertner Advances in Neural Information Processing Systems, 2016 | 15 | 2016 |
| Graph Neural Networks with Adaptive Readouts D Buterez, JP Janet, SJ Kiddle, D Oglic, P Liò Advances in Neural Information Processing Systems, 2022 | 14 | 2022 |
| 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 | 13 | 2020 |
| Interactive Knowledge-Based Kernel PCA⋆ D Oglic, D Paurat, T Gärtner Proceedings of Machine Learning and Knowledge Discovery in Databases …, 2014 | 12 | 2014 |
| 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 |
| Supervised PCA for interactive data analysis D Paurat, D Oglic, T Gärtner 2nd NIPS Workshop on Spectral Learning, 2013 | 8 | 2013 |
| 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 | 7 | 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 | 7 | 2020 |
| Constructive Approximation and Learning by Greedy Algorithms D Oglic Universitäts-und Landesbibliothek Bonn, 2018 | 3 | 2018 |
| Learning to Construct Novel Structures D Oglic, R Garnett, T Gärtner NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning …, 2014 | 2 | 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 | | 2023 |
| 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 | | 2022 |
| Active search for computer-aided drug design J Hirst, S Oatley, D Oglic, T Gaertner ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018 | | 2018 |
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
