Gal Novik

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Causal Discovery

Conditional Independence

Data Collection

Top Venues

Publications

Raanan Y. Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. ICML (2023)
Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar
Learning Control by Iterative Inversion. ICML (2023)
Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. CoRR (2023)
Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar
Validate on Sim, Detect on Real - Model Selection for Domain Randomization. ICRA (2022)
Shami Nisimov, Raanan Y. Rohekar, Yaniv Gurwicz, Guy Koren, Gal Novik
CLEAR: Causal Explanations from Attention in Neural Recommenders. CoRR (2022)
Dan Elbaz, Gal Novik, Oren Salzman
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning. CoRR (2022)
Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar
Learning Control by Iterative Inversion. CoRR (2022)
Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar
Validate on Sim, Detect on Real - Model Selection for Domain Randomization. CoRR (2021)
Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. NeurIPS (2021)
Shadi Endrawis, Gal Leibovich, Guy Jacob, Gal Novik, Aviv Tamar
Efficient Self-Supervised Data Collection for Offline Robot Learning. CoRR (2021)
Shami Nisimov, Yaniv Gurwicz, Raanan Rohekar, Gal Novik
Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper. CoRR (2021)
Raanan Y. Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. CoRR (2021)
Shadi Endrawis, Gal Leibovich, Guy Jacob, Gal Novik, Aviv Tamar
Efficient Self-Supervised Data Collection for Offline Robot Learning. ICRA (2021)
Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
A Single Iterative Step for Anytime Causal Discovery. CoRR (2020)
Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections. CoRR (2019)
Neta Zmora, Guy Jacob, Lev Zlotnik, Bar Elharar, Gal Novik
Neural Network Distiller: A Python Package For DNN Compression Research. CoRR (2019)
Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections. NeurIPS (2019)
Raanan Y. Yehezkel Rohekar, Shami Nisimov, Guy Koren, Yaniv Gurwicz, Gal Novik
Constructing Deep Neural Networks by Bayesian Network Structure Learning. CoRR (2018)
Raanan Y. Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Guy Koren, Gal Novik
Constructing Deep Neural Networks by Bayesian Network Structure Learning. NeurIPS (2018)
Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik
Bayesian Structure Learning by Recursive Bootstrap. NeurIPS (2018)
Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik
Bayesian Structure Learning by Recursive Bootstrap. CoRR (2018)