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Future sea-level change is characterized by both quantifiable and unquantifiable uncertainties. Effective communication of both types of uncertainty is a key challenge in translating sea-level science to inform long-term coastal planning. Scientific assessments play a key role in the translation process and have taken diverse approaches to communicating sea-level projection uncertainty. Here we review how past IPCC and regional assessments have presented sea-level projection uncertainty, how IPCC presentations have been interpreted by regional assessments and how regional assessments and policy guidance simplify projections for practical use. This information influenced the IPCC Sixth Assessment Report presentation of quantifiable and unquantifiable uncertainty, with the goal of preserving both elements as projections are adapted for regional application.
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This content will become publicly available on April 25, 2026
Unpaired Translation of Point Clouds for Modeling Detector Response
Modeling detector response is a key challenge in time projection chambers. We cast this problem as an unpaired point cloud translation task, between data collected from simulations and from experimental runs. Effective translation can assist with both noise rejection and the construction of high-fidelity simulators. Building on recent work in diffusion probabilistic models, we present a novel framework for performing this mapping. We demonstrate the success of our approach in both synthetic domains and in data sourced from the Active-Target Time Projection Chamber.
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- PAR ID:
- 10584922
- Publisher / Repository:
- NeurIPS Machine Learning and the Physical Sciences Workshop 2025
- Date Published:
- Format(s):
- Medium: X
- Location:
- NeurIPS Machine Learning and the Physical Sciences Workshop 2025
- Sponsoring Org:
- National Science Foundation
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