Gal Novik

According to our database, Gal Novik authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders.

Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik

Proceedings of the International Conference on Machine Learning, 2023

Learning Control by Iterative Inversion.

Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar

Proceedings of the International Conference on Machine Learning, 2023

2022

Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning.

Dan Elbaz, Gal Novik, Oren Salzman

CoRR, 2022

CLEAR: Causal Explanations from Attention in Neural Recommenders.

Shami Nisimov, Raanan Y. Rohekar, Yaniv Gurwicz, Guy Koren, Gal Novik

CoRR, 2022

Validate on Sim, Detect on Real - Model Selection for Domain Randomization.

Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper.

Shami Nisimov, Yaniv Gurwicz, Raanan Y. Rohekar, Gal Novik

CoRR, 2021

Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias.

Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Self-Supervised Data Collection for Offline Robot Learning.

Shadi Endrawis, Gal Leibovich, Guy Jacob, Gal Novik, Aviv Tamar

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

A Single Iterative Step for Anytime Causal Discovery.

Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik

CoRR, 2020

2019

Neural Network Distiller: A Python Package For DNN Compression Research.

Neta Zmora, Guy Jacob, Lev Zlotnik, Bar Elharar, Gal Novik

CoRR, 2019

Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections.

Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Constructing Deep Neural Networks by Bayesian Network Structure Learning.

Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Guy Koren, Gal Novik

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Bayesian Structure Learning by Recursive Bootstrap.

Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018