Eren Sezener
Eren Sezener
DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Behaviour suite for reinforcement learning
I Osband, Y Doron, M Hessel, J Aslanides, E Sezener, A Saraiva, ...
International Conference on Learning Representations (ICLR), 2019
732019
Optax: Composable gradient transformation and optimisation
M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan
JAX, 2020
132020
Gated Linear Networks
J Veness, T Lattimore, A Bhoopchand, D Budden, C Mattern, ...
AAAI 2021, 2019
112019
Optimizing the depth and the direction of prospective planning using information values
E Sezener, A Dezfouli, M Keramati
PLOS Computational Biology 15 (3), e1006827, 2019
102019
Minimal sign representation of Boolean functions: algorithms and exact results for low dimensions
E Sezener, E Oztop
Neural Computation 27 (8), 1796-1823, 2015
72015
Optax: composable gradient transformation and optimisation, in jax!, 2020
M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan
URL http://github. com/deepmind/optax, 0
7
A rapid and efficient learning rule for biological neural circuits
E Sezener, A Grabska-Barwinska, D Kostadinov, M Beau, S Krishnagopal, ...
bioRxiv, 2021
62021
Online Learning in Contextual Bandits using Gated Linear Networks
E Sezener, M Hutter, D Budden, J Wang, J Veness
NeurIPS 2020, 2020
62020
Inferring human values for Safe AGI design
E Sezener
Artificial General Intelligence (AGI) 9205, pp 152-155, 2015
62015
The DeepMind JAX Ecosystem (2020)
I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ...
URL http://github. com/deepmind, 0
6
Gaussian Gated Linear Networks
D Budden, A Marblestone, E Sezener, T Lattimore, G Wayne, J Veness
NeurIPS 2020, 2020
32020
Large-scale multilingual audio visual dubbing
Y Yang, B Shillingford, Y Assael, M Wang, W Liu, Y Chen, Y Zhang, ...
arXiv preprint arXiv:2011.03530, 2020
22020
A Combinatorial Perspective on Transfer Learning
J Wang, E Sezener, D Budden, M Hutter, J Veness
NeurIPS 2020, 2020
12020
Static and Dynamic Values of Computation in MCTS
E Sezener, P Dayan
Uncertainty in Artificial Intelligence (UAI), 2020
12020
Heuristic algorithms for obtaining Polynomial Threshold Functions with low densities
E Sezener, E Oztop
arXiv preprint arXiv:1504.01167, 2015
12015
Computing the Value of Computation for Planning
E Sezener
arXiv preprint arXiv:1811.03035, 2018
2018
Algorithms for Obtaining Parsimonious Higher Order Neurons
E Sezener, E Oztop
International Conference on Artificial Neural Networks (ICANN), 146-154, 2017
2017
Approximate planning from better bounds on Q
E Sezener, P Dayan
Reinforcement Learning and Decision Making (RLDM) 2017, 2017
2017
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Articles 1–18