Yaniv Gurwicz - RankMe

28 papers A* 8Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment. ICML Raanan Yehezkel Rohekar, Yaniv Gurwicz, Sungduk Yu, Estelle Aflalo, Vasudev Lal
2025	J	`jnl`	Causal Climate Emulation with Bayesian Filtering. CoRR Sebastian Hickman, Ilija Trajkovic, Julia Kaltenborn, Francis Pelletier, Alex Archibald, Yaniv Gurwicz, Peer Nowack, David Rolnick, Julien Boussard
2024	J	`jnl`	Causal Representation Learning in Temporal Data via Single-Parent Decoding. CoRR Philippe Brouillard, Sébastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick
2024	J	`jnl`	Causal World Representation in the GPT Model. CoRR Raanan Y. Rohekar, Yaniv Gurwicz, Sungduk Yu, Vasudev Lal
2024	—	`conf`	LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. XAI4CV 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
2024	J	`jnl`	LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. CoRR Gabriela Ben Melech Stan, Raanan Yehezkel Rohekar, Yaniv Gurwicz, Matthew Lyle Olson, Anahita Bhiwandiwalla, Estelle Aflalo, Chenfei Wu, Nan Duan, Shao-Yen Tseng, Vasudev Lal
2023	A*	`conf`	Causal Interpretation of Self-Attention in Pre-Trained Transformers. NeurIPS Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov
2023	J	`jnl`	Causal Interpretation of Self-Attention in Pre-Trained Transformers. CoRR Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov
2023	A*	`conf`	ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning. NeurIPS Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick
2023	J	`jnl`	ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning. CoRR Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick
2023	A*	`conf`	From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. ICML Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
2023	J	`jnl`	From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. CoRR Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
2023	J	`jnl`	Towards Causal Representations of Climate Model Data. CoRR Julien Boussard, Chandni Nagda, Julia Kaltenborn, Charlotte Emilie Elektra Lange, Philippe Brouillard, Yaniv Gurwicz, Peer Nowack, David Rolnick
2022	J	`jnl`	CLEAR: Causal Explanations from Attention in Neural Recommenders. CoRR Shami Nisimov, Raanan Y. Rohekar, Yaniv Gurwicz, Guy Koren, Gal Novik
2021	J	`jnl`	Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper. CoRR Shami Nisimov, Yaniv Gurwicz, Raanan Y. Rohekar, Gal Novik
2021	A*	`conf`	Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. NeurIPS Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
2021	J	`jnl`	Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias. CoRR Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
2020	J	`jnl`	A Single Iterative Step for Anytime Causal Discovery. CoRR Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
2019	A*	`conf`	Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections. NeurIPS Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
2019	J	`jnl`	Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections. CoRR Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
2018	A*	`conf`	Bayesian Structure Learning by Recursive Bootstrap. NeurIPS Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik
2018	J	`jnl`	Bayesian Structure Learning by Recursive Bootstrap. CoRR Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik
2018	A*	`conf`	Constructing Deep Neural Networks by Bayesian Network Structure Learning. NeurIPS Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Guy Koren, Gal Novik
2018	J	`jnl`	Constructing Deep Neural Networks by Bayesian Network Structure Learning. CoRR Raanan Y. Rohekar, Shami Nisimov, Guy Koren, Yaniv Gurwicz, Gal Novik
2011	J	`jnl`	Multiclass object classification for real-time video surveillance systems. Pattern Recognit. Lett. Yaniv Gurwicz, Raanan Yehezkel, Boaz Lachover
2006	—	`conf`	Bayesian Class-Matched Multinet Classifier. SSPR/SPR Yaniv Gurwicz, Boaz Lerner
2005	J	`jnl`	Bayesian network classification using spline-approximated kernel density estimation. Pattern Recognit. Lett. Yaniv Gurwicz, Boaz Lerner
2004	—	`conf`	Rapid Spline-based Kernel Density Estimation for Bayesian Networks. ICPR (3) Yaniv Gurwicz, Boaz Lerner