Bálint Gyires-Tóth

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Regularization Methods

Hypothesis Test

Reinforcement Learning

Top Venues

ECCV Workshops (7)

Int. J. Speech Technol.

Publications

Dániel Unyi, Bálint Gyires-Tóth
Self-Supervised Pretraining for Cortical Surface Analysis. MIUA (1) (2024)
Frigyes Viktor Arthur, Bálint Gyires-Tóth, Máté Imre Debreczeni, Lívia Réka Ónozó
Language of the Market: NLP-Driven Sentiment Analysis of Hungarian Economy. CogInfoCom (2023)
Kálmán Klapcsik, Bálint Gyires-Tóth, Juan Manuel Rosselló, Ferenc Hegedüs
Position control of an acoustic cavitation bubble by reinforcement learning. CoRR (2023)
Róbert Lovas, Erno Rigó, Dániel Unyi, Bálint Gyires-Tóth
Experiences With Deep Learning Enhanced Steering Mechanisms for Debugging of Fundamental Cloud Services. IEEE Access 11 (2023)
Dániel Unyi, Ferdinando Insalata, Petar Velickovic, Bálint Gyires-Tóth
Utility of Equivariant Message Passing in Cortical Mesh Segmentation. MIUA (2022)
András Kalapos, Bálint Gyires-Tóth
Self-supervised Pretraining for 2D Medical Image Segmentation. ECCV Workshops (7) (2022)
Bálint Gyires-Tóth, Csaba Zainkó
Improving Self-Supervised Learning-based MOS Prediction Networks. CoRR (2022)
Dániel Unyi, Bálint Gyires-Tóth
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model. CoRR (2022)
András Kalapos, Bálint Gyires-Tóth
Self-Supervised Pretraining for 2D Medical Image Segmentation. CoRR (2022)
Dániel Unyi, Ferdinando Insalata, Petar Velickovic, Bálint Gyires-Tóth
Utility of Equivariant Message Passing in Cortical Mesh Segmentation. CoRR (2022)
Dániel Unyi, Bálint Gyires-Tóth
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model. ML4H@NeurIPS (2022)
Gergely Hajgató, Richárd Wéber, Botond Szilágyi, Balázs Tóthpál, Bálint Gyires-Tóth, Csaba Hos
PredMaX: Predictive maintenance with explainable deep convolutional autoencoders. Adv. Eng. Informatics 54 (2022)
Gergely Hajgató, Bálint Gyires-Tóth, György Paál
Reconstructing nodal pressures in water distribution systems with graph neural networks. CoRR (2021)
Marco Henrique de Almeida Inácio, Rafael Izbicki, Bálint Gyires-Tóth
Distance assessment and analysis of high-dimensional samples using variational autoencoders. Inf. Sci. 557 (2021)
Dániel Unyi, Bálint Gyires-Tóth
Scalable Graph Convolutional Variational Autoencoders. SACI (2021)
Gergely Hajgató, György Paál, Bálint Gyires-Tóth
Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems. CoRR (2020)
Péter Almási, Róbert Moni, Bálint Gyires-Tóth
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World. IJCNN (2020)
Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Transformer based Grapheme-to-Phoneme Conversion. CoRR (2020)
Gergely Hajgató, Bálint Gyires-Tóth, György Paál
Predicting the flow field in a U-bend with deep neural networks. CoRR (2020)
Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Self-Attention Networks for Intent Detection. CoRR (2020)
Péter Almási, Róbert Moni, Bálint Gyires-Tóth
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World. CoRR (2020)
Viktor Burján, Bálint Gyires-Tóth
GPU Accelerated Data Preparation for Limit Order Book Modeling. LOD (1) (2020)
Patrik Reizinger, Bálint Gyires-Tóth
Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks. LOD (2019)
Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Transformer Based Grapheme-to-Phoneme Conversion. INTERSPEECH (2019)
Patrik Reizinger, Bálint Gyires-Tóth
Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks. CoRR (2019)
Bálint Gyires-Tóth, Pál Varga, Tamas Tothfalusi
Utilizing Deep Learning for Mobile Telecommunications Network Management. IM (2019)
Marco Henrique de Almeida Inácio, Rafael Izbicki, Bálint Gyires-Tóth
Distance Assessment and Hypothesis Testing of High-Dimensional Samples using Variational Autoencoders. CoRR (2019)
Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Self-Attention Networks for Intent Detection. RANLP (2019)
Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
Text normalization with convolutional neural networks. Int. J. Speech Technol. 21 (3) (2018)