branch_selection

"We observe an enhanced visibility of charge-density-wave correlations... after a rapid boost of the interaction strength"

"q*_i = exp(η g_i(θ)) / sum exp(η g_j(θ))"

"WD+MC fits to TESS LCs … hot spot model … fill-out factor 0.27"

"RoSHAP_j := (1−P0j) m_j² / s_j ... rewards features that are active, strong, and stable."

"vGDD := max_{g_i(·)} ∑ min (f_i(x_i)+g_i(x_i)) s.t. ∑ g_i(x)=0 ∀x∈X"

"random group model μ_Γ on admissible Γ-groups with H-moments |H^Γ| ∏_{v∈T} |H^{Γ_v}|"

"Empirical evaluations demonstrate state-of-the-art performance on imbalanced datasets under two labeling mechanisms - selecting positives completely at random (SCAR) and selecting at random (SAR)."

"Flow Matching regression LCFM = E ∥vθ(zt,t) − (z1 − z0)∥² as Lagrangian surrogate for HJB"

"competitive cost discovery... costs most relevant... opportunity costs and interference costs... decentralized competition among modules forces behavioral revelation... cost truthfulness ensures resource shares converge to modules’ true marginal contributions"

"H1: There is a quadratic inverted relationship (inverted U-shaped) between human asset specificity (HAS) and SaaS alignment with SME strategy"

"We define the action to be functionally conserved if the percentage change in action is less than 10% of the initial action value"

"Lemma 3.3 (Endogenous Fragility: Convexity of the Equilibrium Coupling)"

"subnetwork-based regularization ... Jensen–Shannon divergence ... gradient divergency"

"support constraint... ℋ(r) = exp(-(r-r_c)/w)^(2N) with r1 ≤ r ≤ r2"

"leading order expansion ... F(1)(q,n) = Jex γ(qx ny + qy nx) ... F(2)(q,n) = −J²ex Az n²z"

"LoRA-based adaptation with generation feedback for dynamic context adjustment... only 0.77% of the parameters"

"Convex majorization of maxima of partial sums - The method of Meilijson & Nádas [8]"

"drift velocities favour the formation of spiral-shaped momentum distributions that still display inverted Landau populations"

"we introduce losses which penalize per-primitive color and normal variance"

"both inhibiting and exciting activation shifts independently contribute"

"Representation Classification Chains (RCCs), a JEPA-style architecture which disentangles two processes: variable inference and variable embeddings are learned by separate modules through Reinforcement Learning and self-supervised learning, respectively."

"fN,T = ½ ρ H CN,T(θ) (a(ε) U·n)² with cosθ = 1/(1+ε)"

"training can be split into three continuous phases: memorization, circuit formation, and cleanup"

"ui_θ = ui_ind + ui_coord ... Coordinated Velocity Attention (CVA) ... Adaptive Coordination Gating"

"Eq. (16) ... sum_l [(s_l^-)^2 + (s_l^+ - 1)^2] = 8m^2 (hyperspherical decision boundary)"

"Under this design, data augmentation via cVAE becomes complementary: the median head absorbs synthetic patterns without contaminating upper quantiles."

"RAPS augments this with a regularization penalty: SRAPS(x, y) = Sbase(x, y) + λ max(0, k − kreg)"

"RKL restricts the teacher to the role of a post-hoc discriminator... uninformative negative feedback"

"same hyperparameters transfer without retuning across Bernoulli, linear bandits, tabular MDPs"

"Bias is defined as the average deviation ... variance quantifies the dispersion across predictions"