Items where Author is "Gyires-Tóth, Bálint"

Article

Lovas, Róbert and Rigó, Ernő and Unyi, Dániel and Gyires-Tóth, Bálint (2023) Experiences With Deep Learning Enhanced Steering Mechanisms for Debugging of Fundamental Cloud Services. IEEE ACCESS, 11. 26403 -26418. ISSN 2169-3536

Béres, András and Gyires-Tóth, Bálint (2023) Enhancing Visual Domain Randomization with Real Images for Sim-to-Real Transfer. INFOCOMMUNICATIONS JOURNAL, 15 (1). pp. 15-25. ISSN 2061-2079

Hajgató, Gergely and Paál, György and Gyires-Tóth, Bálint (2020) Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 146 (11). pp. 1-11. ISSN 0733-9496 (print); 1943-5452 (online)

Inacio, Marco and Izbicki, Rafael and Gyires-Tóth, Bálint (2020) Distance assessment and analysis of high-dimensional samples using variational autoencoders. INFORMATION SCIENCES. pp. 1-25. ISSN 0020-0255

Pilinszki-Nagy, Csongor and Gyires-Tóth, Bálint (2020) Performance Analysis of Sparse Matrix Representation in Hierarchical Temporal Memory for Sequence Modeling. INFOCOMMUNICATIONS JOURNAL, 12 (2). pp. 41-49. ISSN 2061-2079

Hajgató, Gergely and Gyires-Tóth, Bálint and Paál, György (2019) Accelerating Convergence of Fluid Dynamics Simulations with Convolutional Neural Networks. Periodica Polytechnica Mechanical Engineering, 63 (3). pp. 230-239. ISSN 0324-6051

Yolchuyeva, Sevinj and Németh, Géza and Gyires-Tóth, Bálint (2019) Grapheme-to-Phoneme Conversion with Convolutional Neural Networks. APPLIED SCIENCES, 9 (6). ISSN 2076-3417

Book Section

Abed, Hamdi and Gyires-Tóth, Bálint (2021) Efficient Neural Architecture Search for Long Short-Term Memory Networks. In: Proceedings of 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, Manhattan (NY), pp. 287-292. ISBN 978-1-7281-8053-3 (electronic); 978-1-7281-8052-6 (USB); 978-1-7281-8054-0 (PoD)

Unyi, Dániel and Gyires-Tóth, Bálint (2021) Scalable Graph Convolutional Variational Autoencoders. In: Proceedings of International Symposium on Applied Computational Intelligence and Informatics ( SACI). IEEE, Manhattan (NY), pp. 1-6. ISBN 978-1-7281-9544-5 (electronic); 978-1-7281-9545-2 (online)

Hajgató, Gergely and Gyires-Tóth, Bálint and Paál, György (2018) Predicting the Flow Field in a U-Bend with Deep Neural Networks. In: Proceedings of Conference on Modelling Fluid Flow. CFD.HU Kft., Budapest, pp. 1-8. ISBN 9789633132975

Conference or Workshop Item

Yolchuyeva, Sevinj and Németh, Géza and Gyires-Tóth, Bálint (2019) Transformer based Grapheme-to-Phoneme Conversion. In: 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019, Sept 15-19, 2019, Graz, Ausztria.

Reizinger, Patrik and Gyires-Tóth, Bálint (2019) Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks. In: Fifth International Conference on Machine Learning, Optimization, and Data Science, September 10-13, 2019, Siena, Italy. (In Press)

Yolchuyeva, Sevinj and Németh, Géza and Gyires-Tóth, Bálint (2019) Self-Attention Networks for Intent Detection. In: Recent Advances in Natural Language Processing, Sep 2–4 2019, Varna, Bulgaria.

Gyires-Tóth, Bálint and Varga, Pál and Tóthfalusi, Tamás (2019) Utilizing Deep Learning for Mobile Telecommunications Network Management. In: IFIP/IEEE International Symposium on Integrated Network Management, 8-12 April 2019, Washington DC, USA.

Yolchuyeva, Sevinj and Németh, Géza and Gyires-Tóth, Bálint (2019) End-to-end Convolutional Neural Networks for Intent Detection. In: XV. Magyar Számítógépes Nyelvészeti Konferencia, 2019 január 24-25, Szeged, Magyarország.