We curate 62 scenarios encompassing these aspects and evaluate 26 state-of-the-art text-to-image models on this benchmark.

We curate 62 scenarios encompassing these aspects and evaluate 26 state-of-the-art text-to-image models on this benchmark.

We minimize over convex functions the maximum (over Wasserstein perturbations of the empirical measure) of the absolute regression errors.

In this work, wepresent G2SAT,thefirst deep generativeframework that learns to generate SAT formulas from a given set of input formulas.

Con set isa (scaled)`p ball, 1 p< 2, then, considering(2), the thebestmethod p d/logdtimeslar weprovidene . Formally, if 2 then s 2 { 1}d implies (sj j)j d 2 .

Wefind that humans are indeed sensitivetoEuclidean geometry and generalize strongly from a few visual examples of a geometric concept.

While recent developments in autonomous vehicle (AV) technology highlight substantial progress, we lack tools for rigorous and scalable testing.

Inparticular,theability to visually hallucinate future frames has enabled applications in robotics [8] and healthcare [26].

Toinvestigatethisproblem, wemine theProtein Data Bank (PDB) [1]toconstruct alargedataset of protein complex structures for which structures of the individual proteins on their own are not available.