Yannis Assael
Yannis Assael
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Cited by
Cited by
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
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
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
Large-scale visual speech recognition
B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ...
INTERSPEECH, 4135-4139, 2019
Multi-objective deep reinforcement learning
H Mossalam, YM Assael, DM Roijers, S Whiteson
Advances in Neural Information Processing Systems Deep Reinforcement …, 2016
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
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
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
Restoring ancient text using deep learning: a case study on Greek epigraphy
Y Assael, T Sommerschield, J Prag
Empirical Methods in Natural Language, 6369-6376, 2019
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
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
Heteroscedastic treed bayesian optimisation
JAM Assael, Z Wang, B Shahriari, N de Freitas
Advances in Neural Information Processing Systems Workshop on Bayesian …, 2014
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
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
Effective gene expression prediction from sequence by integrating long-range interactions
Z Avsec, V Agarwal, D Visentin, JR Ledsam, A Grabska-Barwinska, ...
Nature Methods 18 (10), 1196-1203, 2021
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
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
From pixels to torques: policy learning using deep dynamical convolutional networks
JAM Assael, MP Deisenroth
Imperial College London, 2015
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