Ehsan Abbasnejad
Ehsan Abbasnejad
Australian Institute for Machine Learning, University of Adelaide
Verified email at
Cited by
Cited by
Infinite Variational Autoencoder for Semi-Supervised Learning
E Abbasnejad, A Dick, A van den Hengel
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu …, 2017
New objective functions for social collaborative filtering
J Noel, S Sanner, KN Tran, P Christen, L Xie, EV Bonilla, E Abbasnejad, ...
Proceedings of the 21st international conference on World Wide Web, 859-868, 2012
The state of sparsity in deep neural networks
T Gale, E Elsen, S Hooker
arXiv preprint arXiv:1902.09574, 2019
Recombinational cloning using engineered recombination sites
J Hartley, M Brasch
US Patent App. 10/162,879, 2003
A survey of the state of the art in learning the kernels
ME Abbasnejad, D Ramachandram, R Mandava
Knowledge and information systems 31 (2), 193-221, 2012
The common solution of the pair of fuzzy matrix equations
A Sadeghi, S Abbasbandy, ME Abbasnejad
World Applied Sciences 15 (2), 232-238, 2011
On solving systems of fuzzy matrix equation
A Sadeghi, ME Abbasnejad, MI Ahmad
Far East Journal of Applied Mathematics 59 (1), 31-44, 2011
A note on solving the fuzzy Sylvester matrix equation, journal of computational analysis and applications
A Sadeghi, MI Ahmad, A Ahmad, ME Abbasnejad
Symbolic variable elimination for discrete and continuous graphical models
S Sanner, E Abbasnejad
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
Learning community-based preferences via dirichlet process mixtures of gaussian processes
E Abbasnejad, S Sanner, EV Bonilla, P Poupart
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
Distribution based workload modelling of continuous queries in clouds
A Khoshkbarforoushha, R Ranjan, R Gaire, E Abbasnejad, L Wang, ...
IEEE Transactions on Emerging Topics in Computing 5 (1), 120-133, 2016
Deepsetnet: Predicting sets with deep neural networks
SH Rezatofighi, A Milan, E Abbasnejad, A Dick, I Reid
2017 IEEE International Conference on Computer Vision (ICCV), 5257-5266, 2017
Reflection, refraction, and hamiltonian monte carlo
HM Afshar, J Domke
Advances in neural information processing systems, 3007-3015, 2015
Resource usage estimation of data stream processing workloads in datacenter clouds
A Khoshkbarforoushha, R Ranjan, R Gaire, PP Jayaraman, J Hosking, ...
arXiv preprint arXiv:1501.07020, 2015
Soccer event detection via collaborative multimodal feature analysis and candidate ranking.
AA Halin, M Rajeswari, M Abbasnejad
Int. Arab J. Inf. Technol. 10 (5), 493-502, 2013
Bayesian conditional generative adverserial networks
ME Abbasnejad, Q Shi, I Abbasnejad, A Hengel, A Dick
arXiv preprint arXiv:1706.05477, 2017
Loss-calibrated monte carlo action selection
E Abbasnejad, J Domke, S Sanner
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation
M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner
International Conference on Neural Information Processing, 353-366, 2019
3d hand pose estimation using simulation and partial-supervision with a shared latent space
M Abdi, E Abbasnejad, CP Lim, S Nahavandi
arXiv preprint arXiv:1807.05380, 2018
Deep lipschitz networks and dudley GANs, 2018
E Abbasnejad, J Shi, A van den Hengel
URL https://openreview. net/forum, 0
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