Ethan Fetaya
Ethan Fetaya
Bar-Ilan Universityu
Verified email at - Homepage
Cited by
Cited by
Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
International Conference on Machine Learning, 2018
Human pose estimation using deep consensus voting
I Lifshitz, E Fetaya, S Ullman
European Conference on Computer Vision, 246-260, 2016
StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation.
D Levi, N Garnett, E Fetaya
BMVC, 109.1-109.12, 2015
Atoms of recognition in human and computer vision
S Ullman, L Assif, E Fetaya, D Harari
Proceedings of the National Academy of Sciences 113 (10), 2744-2749, 2016
On the Universality of Invariant Networks
H Maron, E Fetaya, N Segol, Y Lipman
International Conference on Machine Learning, 2019
Learning discrete weights using the local reparameterization trick
O Shayer, D Levi, E Fetaya
International Conference on Representation Learning, 2017
Unsupervised ensemble learning with dependent classifiers
A Jaffe, E Fetaya, B Nadler, T Jiang, Y Kluger
Artificial Intelligence and Statistics, 351-360, 2016
Real-time category-based and general obstacle detection for autonomous driving
N Garnett, S Silberstein, S Oron, E Fetaya, U Verner, A Ayash, V Goldner, ...
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Inference in probabilistic graphical models by graph neural networks
KJ Yoon, R Liao, Y Xiong, L Zhang, E Fetaya, R Urtasun, R Zemel, ...
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 868-875, 2019
Learning local invariant mahalanobis distances
E Fetaya, S Ullman
International Conference on Machine Learning, 162-168, 2015
Incremental few-shot learning with attention attractor networks
M Ren, R Liao, E Fetaya, R Zemel
Advances in Neural Information Processing Systems, 5276-5286, 2019
Bounding the distance of quantum surface codes
E Fetaya
Journal of mathematical physics 53 (6), 062202, 2012
Reviving and improving recurrent back-propagation
R Liao, Y Xiong, E Fetaya, L Zhang, KJ Yoon, X Pitkow, R Urtasun, ...
arXiv preprint arXiv:1803.06396, 2018
Neural guided constraint logic programming for program synthesis
L Zhang, G Rosenblatt, E Fetaya, R Liao, W Byrd, M Might, R Urtasun, ...
Advances in Neural Information Processing Systems, 1737-1746, 2018
Homological error correcting codes and systolic geometry
E Fetaya
arXiv preprint arXiv:1108.2886, 2011
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
D Levi, L Gispan, N Giladi, E Fetaya
arXiv preprint arXiv:1905.11659, 2019
Leveraging constraint logic programming for neural guided program synthesis
L Zhang, G Rosenblatt, E Fetaya, R Liao, WE Byrd, R Urtasun, R Zemel
Understanding the Limitations of Conditional Generative Models
E Fetaya, JH Jacobsen, R Zemel
arXiv preprint arXiv:1906.01171, 2019
Unsupervised ensemble learning with dependent classifiers
E Fetaya, B Nadler, A Jaffe, Y Kluger, T Jiang
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
Graph approximation and clustering on a budget
E Fetaya, O Shamir, S Ullman
Artificial Intelligence and Statistics, 241-249, 2015
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