Document retrieval plays an essential role in web search applications and various downstream knowledge-intensive tasks by identifying relevant documents to satisfy users' queries.

Details regarding the datasets are provided in Appendix A. Morphing strategies and dimensionality Regarding the AirfRANS dataset, the reader is referred to [14]. Examples of input geometries are shown in Figure 6 together with the associated output pressure fields. The output scalars of the problem are obtained by post-processing the three-dimensional velocity. Examples of input geometries are shown in Figure 7. Figure 8: ( Tensile2d) Illustration of the Tutte's barycentric mapping used in the morphing stage. Notice that although these morphing techniques are called "mesh A zoom of the RBF morphing close to the airfoil for test sample 787 is illustrated in Figure 10.

ML models call for an equitable model valuation method to price them. In particular, we investigate the black-box access setting which allows querying a model (to observe predictions) without disclosing model-specific information (e.g., architecture and parameters). By exploiting a Dirichlet abstraction of a model's predictions, we propose a novel and equitable model valuation method called

We can now state our results.

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