Yannis Assael
yannis assael

Yannis Assael

DPhil candidate in Machine Learning
University of Oxford
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Education

Education

DPhil in Machine Learning

2015 - Present University of Oxford
  • Supervisor: Shimon Whiteson, Nando de Freitas
  • Oxford – Google DeepMind Graduate Scholarship

MRes in Machine Learning

Distinction, 81.8%, 2nd best overall performance

2014 - 2015 Imperial College
  • Supervisor: Marc P. Deisenroth
  • HiPEDS Scholarship (EPSRC)

MSc in Computer Science

Distinction, 83.5%, best overall performance

2013 - 2014 University of Oxford
  • Supervisor: Nando de Freitas
  • Tony Hoare Prize for best overall performance
    in the MSc in Computer Science 2014
  • Hellenic State Scholarships Foundation (IKY)

Security in IT Summer School

Distinction A, ECTS 7.5

2011 Engineering College of Copenhagen (IHK)

Diploma of Applied Informatics

83.7%, 4-Years

2008 - 2013 University of Macedonia
  • Supervisor: Konstantinos G. Margaritis

High School

17.8 / 20

2002 - 2008 American College Anatolia

Scholarships

Oxford - Google DeepMind Graduate Scholarship

full scholarship for DPhil in Machine Learning, 2015 - 2018.

Imperial College London

full scholarship for MRes program of "HiPEDS", 2014 - 2015.

Hellenic State Scholarships Foundation

full scholarship for MSc in University of Oxford, 2013-2014.

Advanced Training in Open Source Multimedia Instruments

Blender 3D Design, EU Media Program Scholarship, 2011 - Sofia, Bulgaria.

Training in Open Source Multimedia Instruments

Blender 3D Design, EU Media Program Scholarship, 2010 - Sofia, Bulgaria.

Honors & Awards

Distinction in MRes in Machine Learning

2015 Imperial College London

Tony Hoare Prize for "Best overall performance in the MSc in Computer Science"

2014 University of Oxford

Distinction in MSc in Computer Science

2014 University of Oxford

1st place in University of Oxford: Machine Learning Competition

Michaelmas 2013 University of Oxford

1st place in the first challenge of the 7th Global Management Competition

2012
  • Management Simulation in which each team runs a company, with the objective of getting the highest company share price on the simulated stock exchange.

Distinction in Security in IT

2011 Copenhagen University College of Engineering (IHK)

3rd place in the HTC "Grand" Competition

2010 HTC
  • A competition for Google Android developers, under the "airquality.gr" application.
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Publications

1.Chen, Yutian; Assael, Yannis; Shillingford, Brendan; Budden, David; Reed, Scott; Zen, Heiga; Wang, Quan; Cobo, Luis C; Trask, Andrew; Laurie, Ben; Sample Efficient Adaptive Text-to-Speech, arXiv preprint arXiv:1809.10460, 2018.
2.Shillingford, Brendan; Assael, Yannis; Hoffman, Matthew W; Paine, Thomas; Hughes, Cían; Prabhu, Utsav; Liao, Hank; Sak, Hasim; Rao, Kanishka; Bennett, Lorrayne; Large-scale visual speech recognition, arXiv preprint arXiv:1807.05162, 2018.
3.Goumagias, Nikolaos D; Hristu-Varsakelis, Dimitrios; Assael, Yannis M; Using deep Q-learning to understand the tax evasion behavior of risk-averse firms, Expert Systems with Applications, 101, 2018, 258-270.
4.Ponte Costa, Rui; Assael, Yannis; Shillingford, Brendan; de Freitas, Nando; Vogels, Tim; Cortical microcircuits as gated-recurrent neural networks, Advances in Neural Information Processing Systems, 2017, 272-283.
5.Assael, Yannis M; Antoniadis, Konstantinos D; Assael, Marc J; From analog timers to the era of machine learning: The case of the transient hot-wire technique, AIP Conference Proceedings, 1866, 1, 2017, 020001.
6.Assael, Yannis M; Shillingford, Brendan; Whiteson, Shimon; de Freitas, Nando; LipNet: End-to-End Sentence-level Lipreading, GPU Technology Conference, 2017, 2016.
7.Mossalam, Hossam; Assael, Yannis M; Roijers, Diederik M; Whiteson, Shimon; Multi-Objective Deep Reinforcement Learning, NIPS Deep Reinforcement Learning Workshop, 2016.
8.Foerster, Jakob N; Assael, Yannis M; de Freitas, Nando; Whiteson, Shimon; Learning to Communicate with Deep Multi-Agent Reinforcement Learning, Advances in Neural Information Processing Systems, 2016.
9.Foerster, Jakob N; Assael, Yannis M; de Freitas, Nando; Whiteson, Shimon; Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks, IJCAI Workshop, 2016.
10.Assael, John-Alexander M.; Wahlström, Niklas; Schön, Thomas B; Deisenroth, Marc Peter; Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models, NIPS Deep Reinforcement Learning Workshop, 2015.
11.Assael, John-Alexander M.; Deisenroth, Marc Peter; From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Networks, 2015.
12.Assael, Marc J; Antoniadis, Konstantinos D; Metaxa, Ifigeneia N; Mylona, Sofia K; Assael, John-Alexander M.; Wu, Jiangtao; Hu, Miaomiao; A Novel Portable Absolute Transient Hot-Wire Instrument for the Measurement of the Thermal Conductivity of Solids, International Journal of Thermophysics, 36, 10-11, 2015, 3083-3105.
13.Kouzinopoulos, Charalampos S.; Assael, John-Alexander M.; Pyrgiotis, Themistoklis K.; Margaritis, Konstantinos G.; A Hybrid Parallel Implementation of the Aho-Corasick and Wu-Manber Algorithms Using NVIDIA CUDA and MPI Evaluated on a Biological Sequence Database, International Journal on Artificial Intelligence Tools, 24, 1, 2015, 1540001.
14.Assael, John-Alexander M.; Wang, Ziyu; Shahriari, Bobak; de Freitas, Nando; Heteroscedastic Treed Bayesian Optimisation, NIPS Workshop on Bayesian Optimization, 2014.
15.Assael, John-Alexander M.; Margaritis, Konstantinos; String Matching on hybrid parallel architectures, an approach using MPI and NVIDIA CUDA, http://www.yannisassael.com/publications/assael_uom_dissertation.pdf, 2013.
16.Assael, M. J.; Assael, John-Alexander M.; Kakosimos, K.; Discomfort Indices - www.airquality.gr, Technographima (Journal of the Technical Chamber of Greece), 362, 2008, 12-13.
17.Assael, M.J.; Kakosimos, K.E.; Alexandridis, A.; Assael, John-Alexander M.; Study and Application of Discomfort Indices in Greece, 7th National Scientific Chemical Engineering Conference, Patra, 2009, Proceedings.
18.Assael, M.J.; Kakosimos, K.E.; Antoniadis, K.D.; Assael, John-Alexander M.; Applying Thermal Comfort Indices to Investigate Aspects of the Climate Change in Greece, International Review of Chemical Engineering, 2, 2010, 204-209.
19.Assael, MJ; Assael, Y. M.; Huber, ML; Perkins, RA; Takata, Y; Correlation of the Thermal Conductivity of Normal and Parahydrogen from the Triple Point to 1000 K and up to 100 MPa, Journal of Physical and Chemical Reference Data, 40, 3, 2011, 033101-033101-13.
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