Dino Oglic

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Venues

CoRR

ICML

INTERSPEECH

IEEE ACM Trans. Audio Speech Lang. Process.

University of Bonn, Germany (PHD)

Education History

University of Bonn, Germany

PHD

Publications

Alexandra Gessner, Sebastian W. Ober, Owen Vickery, Dino Oglic, Talip Uçar
Active learning for affinity prediction of antibodies. CoRR (2024)
Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni
Improving Antibody Humanness Prediction using Patent Data. CoRR (2024)
David Buterez, Jon Paul Janet, Dino Oglic, Pietro Lio
Masked Attention is All You Need for Graphs. CoRR (2024)
David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò
Graph Neural Networks with Adaptive Readouts. NeurIPS (2022)
Dino Oglic, Zoran Cvetkovic, Peter Sollich, Steve Renals, Bin Yu
Towards Robust Waveform-Based Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò
Graph Neural Networks with Adaptive Readouts. CoRR (2022)
Dino Oglic, Zoran Cvetkovic, Peter Sollich
Learning Waveform-Based Acoustic Models Using Deep Variational Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Dino Oglic, Zoran Cvetkovic, Peter Sollich, Steve Renals, Bin Yu
Towards Robust Waveform-Based Acoustic Models. CoRR (2021)
Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
Towards a Unified Analysis of Random Fourier Features. J. Mach. Learn. Res. 22 (2021)
Neethu M. Joy, Dino Oglic, Zoran Cvetkovic, Peter Bell, Steve Renals
Deep Scattering Power Spectrum Features for Robust Speech Recognition. INTERSPEECH (2020)
Dino Oglic, Zoran Cvetkovic, Peter Bell, Steve Renals
A Deep 2D Convolutional Network for Waveform-Based Speech Recognition. INTERSPEECH (2020)
Dino Oglic, Zoran Cvetkovic, Peter Sollich
Parzen Filters for Spectral Decomposition of Signals. CoRR (2019)
Dino Oglic, Thomas Gärtner
Scalable Learning in Reproducing Kernel Krein Spaces. ICML (2019)
Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
Towards a Unified Analysis of Random Fourier Features. ICML (2019)
Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic
A Unified Analysis of Random Fourier Features. CoRR (2018)
Dino Oglic, Thomas Gärtner
Learning in Reproducing Kernel Krein Spaces. ICML (2018)
Dino Oglic, Thomas Gärtner
Large Scale Learning with Kreĭn Kernels. CoRR (2018)
Dino Oglic, Roman Garnett, Thomas Gärtner
Active Search in Intensionally Specified Structured Spaces. AAAI (2017)
Dino Oglic, Thomas Gärtner
Nyström Method with Kernel K-means++ Samples as Landmarks. ICML (2017)
Dino Oglic, Thomas Gärtner
Greedy Feature Construction. NIPS (2016)
Dino Oglic, Daniel Paurat, Thomas Gärtner
Interactive Knowledge-Based Kernel PCA. ECML/PKDD (2) (2014)

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Publication Activity (10 Years)

Top Topics

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Dino Oglic