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Generating realistic 3D environments from satellite imagery in under 10 minutes could revolutionize how we visualize and interact with our planet.
TRACE significantly improves multimodal time series representation by effectively inferring missing data, outperforming traditional methods under severe modality missingness.
Explicitly distinguishing between missingness patterns in multimodal time series can significantly boost predictive accuracy in healthcare applications.
Object detection gets a flexible upgrade: now you can specify objects with text *and* images, opening the door to more intuitive and practical real-world applications.
Unsupervised graph anomaly detection is now possible across diverse graphs, achieving zero-shot generalization without relying on labeled data or few-shot examples.
Spotting unfaithful reasoning in LLMs just got easier: a new method efficiently compares a model's internal computations against its stated rationale.
