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Found 4 papers, 1 papers with code
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
At the core of Stormer is a randomized forecasting objective that trains the model to forecast the weather dynamics over varying time intervals.
Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling
The goal of test-time adaptation is to adapt a source-pretrained model to a continuously changing target domain without relying on any source data.
PAC Mode Estimation using PPR Martingale Confidence Sequences
This problem reduces to the estimation of a single parameter when $\mathcal{P}$ has a support set of size $K = 2$.
Using Artificial Intelligence to Identify State Secrets
Whether officials can be trusted to protect national security information has become a matter of great public controversy, reigniting a long-standing debate about the scope and nature of official secrecy.
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