Farzaneh S. Fard
Farzaneh S. Fard
Senior AI research scientist at
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Modeling human target reaching with an adaptive observer implemented with dynamic neural fields
FS Fard, P Hollensen, D Heinke, TP Trappenberg
Neural Networks 72, 13-30, 2015
A novel model for arbitration between planning and habitual control systems
FS Fard, TP Trappenberg
Frontiers in Neurorobotics - arXiv preprint arXiv:1712.02441, 2017
Impact of biased mislabeling on learning with deep networks
FS Fard, P Hollensen, S Mcilory, T Trappenberg
2017 International Joint Conference on Neural Networks (IJCNN), 2652-2657, 2017
Simulating oculomotor inhibition of return with a two-dimensional dynamic neural field model of the superior colliculus
J Satel, FS Fard, Z Wang, TP Trappenberg
Australian Journal of Intelligent Information Processing System 14, 27-32, 2014
Using Self-Configurable Particle Swarm Optimization for allocation position of rescue robots
FSN Fard, H Parvar, ME Shiri, E Soleimani
2010 Second International Conference on Computer and Network Technology, 362-366, 2010
Nasil: Neural architecture search with imitation learning
FS Fard, A Rad, VS Tomar
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Mixing habits and planning for multi-step target reaching using arbitrated predictive actor-critic
FS Fard, TP Trappenberg
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
An actor critic with an internal model
FS Fard, A Nunes, T Trappenberg
Annual Conference on Cognitive Computational Neuroscience (CCN), 2017
Modelling human target reaching using a novel predictive deep reinforcement learning technique
F Sheikhnezhad Fard
Expediting discovery in Neural Architecture Search by Combining Learning with Planning
FS Fard, VS Tomar
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
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