Raanan Yehezkel

According to our database, Raanan Yehezkel authored at least 13 papers between 2005 and 2024.

Collaborative distances:

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

2024

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models.

Gabriela Ben Melech Stan, Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Matthew Lyle Olson, Anahita Bhiwandiwalla, Estelle Aflalo, Chenfei Wu, Nan Duan, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

2023

Causal Interpretation of Self-Attention in Pre-Trained Transformers.

Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the International Conference on Machine Learning, 2023

2022

CLEAR: Causal Explanations from Attention in Neural Recommenders.

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

CoRR, 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

2020

A Single Iterative Step for Anytime Causal Discovery.

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

CoRR, 2020

2019

Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections.

Raanan Y. Yehezkel 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. Yehezkel 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. Yehezkel 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

2011

Multiclass object classification for real-time video surveillance systems.

Yaniv Gurwicz, Raanan Yehezkel, Boaz Lachover

Pattern Recognit. Lett., 2011

2009

Bayesian Network Structure Learning by Recursive Autonomy Identification.

Raanan Yehezkel, Boaz Lerner

J. Mach. Learn. Res., 2009

2005

Recursive Autonomy Identification for Bayesian Network Structure Learning.

Raanan Yehezkel, Boaz Lerner

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005