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Ershad Banijamali
Ershad Banijamali
Applied Scientist, Amazon
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Title
Cited by
Cited by
Year
Robust locally-linear controllable embedding
E Banijamali, R Shu, M Ghavamzadeh, H Bui, A Ghodsi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017
742017
Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
arXiv preprint arXiv:2010.09776, 2020
592020
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
262016
Fast Spectral Clustering Using Autoencoders and Landmarks
E Banijamali, A Ghodsi
International Conference on Image Analysis and Recognition (ICIAR) 2017, 2017
152017
JADE: Joint Autoencoders for Dis-Entanglement
E Banijamali, AH Karimi, A Wong, A Ghodsi
NIPS 2017 workshop on Learning Disentangled Representations, 2017
142017
Generative Mixture of Networks
E Banijamali, A Ghodsi, P Poupart
International Joint Conference on Neural Networks (IJCNN) 2017, 2017
102017
Gabor Barcodes for Medical Image Retrieval
M Nouredanesh, HR Tizhoosh, E Banijamali
International Conference on Image Processing (ICIP) 2016, 2016
102016
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
9*2018
Radon-Gabor Barcodes for Medical Image Retrieval
M Nouredanesh, HR Tizhoosh, E Banijamali, J Tung
International Conference on Pattern Recognition (ICPR) 2016, 2016
92016
Deep Variational Sufficient Dimensionality Reduction
E Banijamali, AH Karimi, A Ghodsi
Third workshop on Bayesian Deep Learning (NeurIPS 2018), 2018
62018
Semi-supervised representation learning based on probabilistic labeling
E Banijamali, A Ghodsi
NeurIPS 2019 workshop on Machine Learning with Guarantees, 2016
42016
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
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map
E Amirloo, M Rohani, E Banijamali, J Luo, P Poupart
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
Disentangling Dynamics and Content for Control and Planning
E Banijamali, A Khajenezhad, A Ghodsi, M Ghavamzadeh
NIPS 2017 workshop on Learning Disentangled Representations, 2017
22017
Neural Relational Inference with Node-Specific Information
E Banijamali
International Conference on Learning Representations, ICLR, 2022
12022
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning
E Banijamali, M Rohani, E Amirloo, J Luo, P Poupart
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
12021
System and method for managing flexible control of vehicles by diverse agents in autonomous driving simulation
J Luo, J Villella, M Rohani, R David, M Alban, SE Banijamali
US Patent App. 16/989,776, 2022
2022
Methods and systems for observation prediction in autonomous vehicles
E Banijamali, M Rohani
US Patent App. 17/022,771, 2021
2021
Prediction and Planning in Dynamical Systems with Underlying Markov Decision Processes
E Banijamali
University of Waterloo, 2021
2021
Gaussian Two-Way Channels With Discrete Inputs and Quantized Outputs
E Banijamali
Biennial Symposium on Communication (BSC) 2016, 2016
2016
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Articles 1–20