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Abstract: The conventional geo-electromagnetic data inversions are mostly based on gradient optimization methods. However, this type of method can only provide a single “optimal” inverse model under ...

Abstract: Reconstructing bandlimited graph signals from a subset of noisy measurements is a fundamental challenge within the realm of signal processing. Historically, this problem has been approached ...

The PNAS Editorial Board is made up of NAS members who are active scientists and experts in their fields. On submission, your paper is assigned to an Editorial Board member in one of the 31 NAS ...

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

For decades, conversations about long-term care (LTC) have centered on the question about how people will pay for it. But new research from Nationwide shows many fear something far more personal: who ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights. Zhengyu Zhao*, Hanwei Zhang*, Renjue Li*, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Qian Wang, Chao ...

Conclusions: Given its strong performance and minimal computational overhead, we recommend augmenting TabPFN through sampling with replacement as the optimal approach for small-data binary ...