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The Simons Institute is committed to making our building and our programs accessible to people with disabilities. While we recognize that no list of accessible accommodations comprehensively addresses the needs of all people, we strive to remove barriers for participation when possible.
Please share your disability-related accommodation request so we can ensure your full participation in Simons Institute programming. We encourage visitors who might need accommodations to contact us at simonsevents@berkeley.edu with as much advance notice as possible and at least 7-10 days in advance of the event so we can provide you with any services you might need to participate in our programs.
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Abhineet received his PhD from UC Berkeley where he was fortunate to be advised by Prof. Bin Yu. His research interests include AI explainability, efficient inference, causal inference and uncertainty quantification.
Curtis is a postdoctoral scholar at the Simons Institute Machine Learning Pod. His research interests include Bayesian methods for machine learning, diffusion models, sampling algorithms, and stochastic control theory. Prior to joining the research team at...