Yaniv Gurwicz

According to our database, Yaniv Gurwicz authored at least 15 papers between 2004 and 2023.

Collaborative distances:

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

2023

Towards Causal Representations of Climate Model Data.

Julien Boussard, Chandni Nagda, Julia Kaltenborn, Charlotte Emilie Elektra Lange, Philippe Brouillard, Yaniv Gurwicz, Peer Nowack, David Rolnick

CoRR, 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

ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning.

Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick

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

2006

Bayesian Class-Matched Multinet Classifier.

Yaniv Gurwicz, Boaz Lerner

Proceedings of the Structural, 2006

2005

Bayesian network classification using spline-approximated kernel density estimation.

Yaniv Gurwicz, Boaz Lerner

Pattern Recognit. Lett., 2005

2004

Rapid Spline-based Kernel Density Estimation for Bayesian Networks.

Yaniv Gurwicz, Boaz Lerner

Proceedings of the 17th International Conference on Pattern Recognition, 2004