Yaniv Gurwicz
8 papers · 2018–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Academic Marathon (7) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
NIPS (6)
ICML (2)
Top co-authors
Keywords
causal discovery
(3)
latent confounder
(2)
structure learning
(1)
uncertainty quantification
(1)
time series
(1)
causal structure
(1)
machine learning
(1)
conditional independence
(1)
bayesian network
(1)
graphical model
(1)
structural equation model
(1)
convolutional network
(1)
out-of-distribution detection
(1)
bayesian neural network
(1)
selection bia
(1)
graph algorithm
(1)
bayesian structure learning
(1)
constraint-based learning
(1)
causal relationship
(1)
faithfulness assumption
(1)
Papers
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
ICML 2025
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
NIPS 2023
Causal Interpretation of Self-Attention in Pre-Trained Transformers
NIPS 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders
ICML 2023
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
NIPS 2021
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
NIPS 2019
Bayesian Structure Learning by Recursive Bootstrap
NIPS 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning
NIPS 2018