Recursive Autonomy Identification for Bayesian Network Structure Learning. - Raanan Yehezkel; Boaz Lerner (AISTATS, 2005)

Bayesian Network Structure Learning by Recursive Autonomy Identification. - Raanan Yehezkel; Boaz Lerner (J. Mach. Learn. Res., 2009)

Multiclass object classification for real-time video surveillance systems. - Yaniv Gurwicz; Raanan Yehezkel; Boaz Lachover (Pattern Recognit. Lett., 2011)

Bayesian Structure Learning by Recursive Bootstrap. - Raanan Y. Rohekar; Yaniv Gurwicz; Shami Nisimov; Guy Koren; Gal Novik (NeurIPS, 2018)

Constructing Deep Neural Networks by Bayesian Network Structure Learning. - Raanan Y. Rohekar; Shami Nisimov; Yaniv Gurwicz; Guy Koren; Gal Novik (NeurIPS, 2018)

Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections. - Raanan Y. Rohekar; Yaniv Gurwicz; Shami Nisimov; Gal Novik (NeurIPS, 2019)

A Single Iterative Step for Anytime Causal Discovery. - Raanan Y. Rohekar; Yaniv Gurwicz; Shami Nisimov; Gal Novik (CoRR, 2020)

Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. - Raanan Y. Rohekar; Shami Nisimov; Yaniv Gurwicz; Gal Novik (NeurIPS, 2021)

Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper. - Shami Nisimov; Yaniv Gurwicz; Raanan Y. Rohekar; Gal Novik (CoRR, 2021)

CLEAR: Causal Explanations from Attention in Neural Recommenders. - Shami Nisimov; Raanan Y. Rohekar; Yaniv Gurwicz; Guy Koren; Gal Novik (CoRR, 2022)

From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. - Raanan Y. Rohekar; Shami Nisimov; Yaniv Gurwicz; Gal Novik (ICML, 2023)

Causal Interpretation of Self-Attention in Pre-Trained Transformers. - Raanan Y. Rohekar; Yaniv Gurwicz; Shami Nisimov (NeurIPS, 2023)

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. - Gabriela Ben Melech Stan; Estelle Aflalo; Raanan Yehezkel Rohekar; Anahita Bhiwandiwalla; Shao-Yen Tseng; Matthew Lyle Olson; Yaniv Gurwicz; Chenfei Wu; Nan Duan; Vasudev Lal (XAI4CV, 2024)

Causal World Representation in the GPT Model. - Raanan Y. Rohekar; Yaniv Gurwicz; Sungduk Yu; Vasudev Lal (CoRR, 2024)