Yannis Assael
Yannis Assael
Research Scientist, Google DeepMind
在 google.com 的電子郵件地址已通過驗證 - 首頁
Learning to communicate with deep multi-agent reinforcement learning
JN Foerster, YM Assael, N de Freitas, S Whiteson
Advances in Neural Information Processing Systems, 2145-2153, 2016
LipNet: end-to-end sentence-level lipreading
YM Assael, B Shillingford, S Whiteson, N de Freitas
GPU Technology Conference 2017, 2016
Learning to communicate to solve riddles with deep distributed recurrent Q-networks
JN Foerster, YM Assael, N de Freitas, S Whiteson
International Joint Conferences on Artificial Intelligence Workshop, 2016
Multi-objective deep reinforcement learning
H Mossalam, YM Assael, DM Roijers, S Whiteson
Advances in Neural Information Processing Systems Deep Reinforcement …, 2016
Sample efficient adaptive text-to-speech
Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ...
International Conference on Learning Representations, 2019
Correlation of the thermal conductivity of normal and parahydrogen from the triple point to 1000 K and up to 100 MPa
MJ Assael, YM Assael, ML Huber, RA Perkins, Y Takata
Journal of Physical and Chemical Reference Data 40 (3), 033101-033101-13, 2011
Cortical microcircuits as gated-recurrent neural networks
R Ponte Costa, Y Assael, B Shillingford, N de Freitas, T Vogels
Advances in Neural Information Processing Systems, 272-283, 2017
Large-scale visual speech recognition
B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ...
INTERSPEECH, 4135-4139, 2019
Using deep Q-learning to understand the tax evasion behavior of risk-averse firms
ND Goumagias, D Hristu-Varsakelis, YM Assael
Expert Systems with Applications 101, 258-270, 2018
Heteroscedastic treed bayesian optimisation
JAM Assael, Z Wang, B Shahriari, N de Freitas
Advances in Neural Information Processing Systems Workshop on Bayesian …, 2014
A novel portable absolute transient hot-wire instrument for the measurement of the thermal conductivity of solids
MJ Assael, KD Antoniadis, IN Metaxa, SK Mylona, JAM Assael, J Wu, ...
International Journal of Thermophysics 36 (10-11), 3083-3105, 2015
Data-efficient learning of feedback policies from image pixels using deep dynamical models
JAM Assael, N Wahlström, TB Schön, MP Deisenroth
Advances in Neural Information Processing Systems Deep Reinforcement …, 2015
A hybrid parallel implementation of the Aho-Corasick and Wu-Manber algorithms using NVIDIA CUDA and MPI evaluated on a biological sequence database
CS Kouzinopoulos, JAM Assael, TK Pyrgiotis, KG Margaritis
International Journal on Artificial Intelligence Tools 24 (1), 1540001, 2015
Applying thermal comfort indices to investigate aspects of the climate change in Greece
MJ Assael, KE Kakosimos, KD Antoniadis, JAM Assael
International Review of Chemical Engineering 2, 204-209, 2010
Recurrent neural network transducer for audio-visual speech recognition
T Makino, H Liao, Y Assael, B Shillingford, B Garcia, O Braga, O Siohan
IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Speech bandwidth extension with WaveNet
A Gupta, B Shillingford, Y Assael, TC Walters
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019
Restoring ancient text using deep learning: a case study on Greek epigraphy
Y Assael, T Sommerschield, J Prag
Empirical Methods in Natural Language Processing, 6369-6376, 2019
From analog timers to the era of machine learning: The case of the transient hot-wire technique
YM Assael, KD Antoniadis, MJ Assael
AIP Conference Proceedings 1866 (1), 020001, 2017
String matching on hybrid parallel architectures, an approach using MPI and NVIDIA CUDA
JAM Assael, K Margaritis
http://www.yannisassael.com/publications/assael_uom_dissertation.pdf, 2013
Resolving time-delays using generative models
JN Foerster, IA Assael
US Patent 0369946A1, 2019
文章 1–20