Rijeka
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Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Neural Information Processing Systems
Previous work has focused primarily on developing ML-based "meta-learners" that can provide point estimates of the conditional
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JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Neural Information Processing Systems
Given Assumptions 1-4 in Giordanoetal.
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Color Equivariant Convolutional Networks
Neural Information Processing Systems
Our approach can be seamlessly integrated into existing architectures, such as ResNets, and offers a promising solution for addressing color-based domain shifts in CNNs.
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Equivariant Networksfor Crystal Structures
Neural Information Processing Systems
Open Catalyst 2020 (OC20) Datasetand Community Challenges // ACSCatalysis.
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Fractal Patterns May Illuminate the Success of Next-Token Prediction
Neural Information Processing Systems
Nature and geometry furnish us with many such patterns, such as coastlines, snowflakes, the Cantor set and the Kuch curve.
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ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
Neural Information Processing Systems
Neural radiance fields (NeRFs) have gained popularity with multiple works showing promising results across various applications.
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