Ershad Banijamali
Ershad Banijamali
PhD Candidate- University of Waterloo
Verified email at uwaterloo.ca - Homepage
TitleCited byYear
Robust locally-linear controllable embedding
E Banijamali, R Shu, M Ghavamzadeh, H Bui, A Ghodsi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017
202017
Online algorithms for sum-product networks with continuous variables
P Jaini, A Rashwan, H Zhao, Y Liu, E Banijamali, Z Chen, P Poupart
Conference on Probabilistic Graphical Models, 228-239, 2016
132016
Gabor Barcodes for Medical Image Retrieval
M Nouredanesh, HR Tizhoosh, E Banijamali
International Conference on Image Processing (ICIP) 2016, 2016
62016
Generative Mixture of Networks
E Banijamali, A Ghodsi, P Poupart
International Joint Conference on Neural Networks (IJCNN) 2017, 2017
42017
Radon-Gabor Barcodes for Medical Image Retrieval
M Nouredanesh, HR Tizhoosh, E Banijamali, J Tung
International Conference on Pattern Recognition (ICPR) 2016, 2016
42016
JADE: Joint Autoencoders for Dis-Entanglement
E Banijamali, AH Karimi, A Wong, A Ghodsi
NIPS 2017 workshop on Learning Disentangled Representations, 2017
32017
Fast Spectral Clustering Using Autoencoders and Landmarks
E Banijamali, A Ghodsi
International Conference on Image Analysis and Recognition (ICIAR) 2017, 2017
32017
Semi-supervised representation learning based on probabilistic labeling
E Banijamali, A Ghodsi
NeurIPS 2019 workshop on Machine Learning with Guarantees, 2016
32016
On The effect of self-interference in Gaussian two-way channels with erased outputs
E Banijamali, K Moshksar, AK Khandani
International Symposium on Information Theory (ISIT) 2013, 2800-2804, 2013
32013
Optimizing over a restricted policy class in Markov decision processes
E Banijamali, Y Abbasi-Yadkori, M Ghavamzadeh, N Vlassis
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
22018
Deep Variational Sufficient Dimensionality Reduction
E Banijamali, AH Karimi, A Ghodsi
Third workshop on Bayesian Deep Learning (NeurIPS 2018), 2018
2018
Disentangling Dynamics and Content for Control and Planning
E Banijamali, A Khajenezhad, A Ghodsi, M Ghavamzadeh
NIPS 2017 workshop on Learning Disentangled Representations, 2017
2017
Gaussian Two-Way Channels With Discrete Inputs and Quantized Outputs
E Banijamali
Biennial Symposium on Communication (BSC) 2016, 2016
2016
Gaussian Two-Way Channel with Constellation-based Input
E Banijamali
University of Waterloo, 2012
2012
The system can't perform the operation now. Try again later.
Articles 1–14