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Abstract: The two most popular vehicles for communicating uncertainty in the estimates of an unknown quantity are confidence sets and conformal sets. The set produced and its corresponding probability guarantee […]
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Abstract: Test-time compute has emerged as a new axis for scaling language model capabilities, yet we lack a principled understanding of this paradigm. What are the right algorithms and trade-offs […] |
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Abstract: The Chatterjee Lab at the University of Pennsylvania develops discrete generative models that design functional biologics directly from sequence. Our work spans a new class of algorithms that unify […] |
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Abstract: Many of the robustness properties that are required for real-world applications of AI would be realized by a model that has understood the world. But it is unclear how […] |
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