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Dávid Terjék

Researcher
Alfréd Rényi Institute of Mathematics
Széchenyi Plusz RRF

Received an MSc in Computer Science Engineering with highest honours from the Budapest University of Technology and Economics, specialized in computer graphics and artificial intelligence. Spent 2 years as a research engineer in the Advanced Engineering team at Bosch, started doing deep learning research and earned the position of lead engineer. Currently an assistant research fellow in the Artificial Intelligence research group at the Alfréd Rényi Institute of Mathematics. Research interests are deep generative models, regularization of neural networks, information theory and optimal transport.

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Selected publications

Dávid Terjék: Adversarial Lipschitz Regularization, 2020. 8th International Conference on Learning Representations, ICLR 2020

Publications

Moreau-Yosida f-divergences

Dávid Terjék
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Moreau-Yosida f-divergences

Dávid Terjék
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