I am an assistant professor of Artificial Intelligence in the Computational Intelligence group (led by Prof. A.E. Eiben) at Vrije Universiteit Amsterdam. My main research interests include deep learning, Bayesian inference and deep generative modeling.
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I am an assistant professor of Artificial Intelligence in the Computational Intelligence group (led by Prof. A.E. Eiben) at Vrije Universiteit Amsterdam. I am also the admission co-ordinator of the M.Sc. AI program at Vrije Universiteit Amsterdam. Before joining Vrije Universiteit Amsterdam, I was a deep learning researcher (Engineer, Staff) in Qualcomm AI Rersearch in Amsterdam (10/2018 - 12/2019). Previously, I was a Marie Sklodowska-Curie fellow in Max Welling's group at University of Amsterdam, and an assistant professor and postdoc at Wroclaw University of Technology. My main research interests include deep learning, Bayesian inference and deep generative modeling. Recently, I am also interested in developing novel derivative-free optimization algorithms. I am very keen on applying machine learning to biology and medicine. My CV: [here].
Our paper on applying deep learning to medical imaging has been accepted to Applied Sciences: [LINK]
Our paper on applying derivative-free optimization for robotics has been published in Neurocomputing: [LINK]
A project on continuous kernel convolutions led by David W. Romero (supervised by me and Prof. M. Hoogendoorn) has been awarded QIF (Qualcomm Innovation Fellowship)
Our paper on data augmentation and causal theory has been accepted to ICML 2021: [LINK]
Our paper on applying deep learning for agriculture has been published in Computers and Electronics in Agriculture: [LINK]
Our paper on COVID-19 has been published in Scientific Reports: [LINK]
Our paper on genome-wide reconstruction with gut microbiota has been accepted to Bioinformatics: [LINK]
Our paper on genome-wide reconstruction of bone marrow cancer has been accepted to Int. Journal of Molecular Sciences: [LINK]
Our paper on population-based parameter identification for systems biology has been accepted to Processes: [LINK]
Our 3 papers have been accepted to AABI 2021: [LINK]
Our paper has been accepted to NeurIPS 2020: [here].
Our paper has been accepted to ICML 2020: [here]
Our paper has been accepted to LOD 2020: [here]
Our paper has been accepted to MIDL 2020 (oral presentation): [here]
Our paper has been accepted to GECCO 2020: [here]
Our paper has been accepted to IEEE CEC 2020: [here]
Our paper has been accepted to CVPR 2020 (oral presentation): [here]
An invated talk given at MLinPL 2019. Link to the slides: [here]
Our paper on combinatorial Bayesian optimization has been accepted to NeurIPS 2019. Link to the paper: [here]
Our paper on video compression has been accepted to ICCV 2019. Link to the paper: [here]
Our paper (together with Ewelina Weglarz-Tomczak) on ABC for Michaelis-Menten model has been accepted to FEBS Letter. Link to the paper: [here]
A workshop paper is accepted to Deep Generative Models for Highly Structured Data @ ICLR 2019. Link to the paper: [here]
A workshop paper is accepted to Representation Learning on Graphs and Manifolds @ ICLR 2019. Link to the paper: [here]
A paper is accepted to Neural Processing Letters.
Two papers are accepted as oral presentations at UAI 2018.
Two papers are accepted to MIDL 2018.
One paper is accepted to TADGM @ ICML 2018.
One paper is accepted to ICML 2018.
One paper is accepted as an oral presentation to AISTATS 2018.
One paper is accepted to Benelearn 2017.
One paper is accepted to Bayesian Deep Learning @ NIPS 2016.
One paper is accepted to Machine Learning in Computational Biology @ NIPS 2016.
NeurIPS (2018, 2019), ICML (2019, 2020), ICLR (2019, 2020), AISTATS (2019, 2020), ICML-GR (2019), ICLR-RLGM (2019), CVPR-URDVL (2019), Medical Imaging with Deep Learning (2018), CVPR-BNIVU (2018), NeurIPS-Bayesian Deep Learning (2017, 2018), ACIIDS (2013, 2014, 2015), ICSS (2013, 2016), ISAT (2012, 2013, 2014, 2015, 2016), NCA (2014)
IEEE Transactions on Pattern Analysis and Machine Intelligence, Bioinformatics, Medical Image Analysis, Expert Systems with Applications, BMC Bioinformatics, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Neural Systems & Rehabilitation Engineering, European Journal of Operation Research, Neural Processing Letters, Operations Research and Decisions, Knowledge-Based Systems, International Journal of Approximate Reasoning, Biocybernetics and Biomedical Engineering, Transactions on Image Processing
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