Search and filter through extracted claims from AI researchers.
Showing 101-120 of 931 claims in topic "general"
DCIC provides nonasymptotic oracle risk bounds that remain valid even under model misspecification
"nonasymptotic oracle risk bounds that remain valid under model misspecification"
"The same coding principle places heterogeneous classes on a common complexity scale at a small additional class-identification cost"
"Large penalties yield polynomial-size retained search regions with high probability"
"Numerical experiments illustrate stable support recovery and favorable estimation performance under strong dependence and model-class uncertainty"
"it supplies context-dependent parameters to classical car-following models, and gives an autonomous vehicle a live behavioral read of the surrounding drivers with a short-horizon forecast of their motion."
This framework points toward traffic models that are interpretable and trustworthy by construction.
"The framework points toward models of traffic that are interpretable and trustworthy by construction."
"Under finite second moments, minimizers exist and martingale gluing recovers an optimal coupling."
"Machine learning is usually formalized through samples, while the persistent individual to which multiple observed or possible events refer often remains implicit."
"a sample-only conditional is silent as to whether the world is homogeneous or the observed law is only the marginal of a heterogeneous family"
"Unlinked single-row observations can fail to distinguish a heterogeneous unit world from a homogeneous pooled world"
"This pointwise comparison can be too sensitive in one-to-many settings, where several target outcomes refine one source state and their mean carries the geometry of interest."
"The resulting barycentric weak inner-product GW (wIGW) satisfies $\mathrm{wIGW}_{\mathrm{bar}}^2(μ,ν)=\inf_{η\preceq_{\mathrm{cx}}ν}\mathrm{IGW}^2(μ,η)$."
"Under a quantitative ridge condition, the reduced problem is convex--concave, and the projected outer iteration satisfies an explicit contraction bound for inexact inner solves."
"Point cloud and graph feature refinement experiments illustrate how mean-preserving target refinements can have zero cost."
"It remains completely open if the right answer is a constant number of hidden layers (possibly even 2!) or not."
"Using a careful computer assisted search, we obtain two-hidden-layer ReLU representations of $\mathrm{MAX}_5, \mathrm{MAX}_6, \mathrm{MAX}_7$, and $\mathrm{MAX}_8$."
Recent work by Ruess et al. (2026) obtained two-hidden-layer representations of MAX_N for all N≤10
"Very recently, two-hidden-layer representations of $\mathrm{MAX}_N$ of the above form were obtained for all $N\leq 10$ in [Ruess et al., 2026]."
"The best lower bound is 2, while the current upper bound is logarithmic in $N$."
20-70% of sequenced genes in non-model organisms lack characterized functions
"20-70% of sequenced genes lacking characterized functions"
"evidence weighting parameter of lambda=0.50 improves NDCG@10 to 0.9879 and MRR to 0.99"
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Last synthesis: 2026-09-20. 8,949 pending.