An eco-evolutionary model using adaptive dynamics shows overuse and underuse arise as alternative evolutionary outcomes depending on whether provisioning benefits increase concavely or convexly.
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Thermal lattice fluctuations in Re6Se8Cl2 suppress solid-state high-harmonic yield via weakened per-configuration responses and ensemble phase dispersion, producing an abrupt yield increase below 50 K where vibrations freeze out.
StructGP discovers sparse DAG structures and latent pathways in Gaussian processes to improve calibrated forecasting on irregular clinical time series.
Decoherence from a shared lossy reservoir induces genuine quantum interference among two to four photons from two incoherent spontaneous parametric down-converters.
A ReLU neural network approximates the distorted constraint set in flat systems to derive a positively invariant set for control synthesis.
VDLF-Net fuses VAE latent vectors with gated multi-scale CNN features to report improved accuracy over baselines on CIFAR-100 and Mini-ImageNet for both supervised and episodic few-shot learning.
CAMO is an ensemble technique that dynamically improves minority class predictions in imbalanced language model evaluations and achieves the highest macro F1 scores on two domain-specific benchmarks.
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Differentiable latent structure discovery for interpretable forecasting in clinical time series
StructGP discovers sparse DAG structures and latent pathways in Gaussian processes to improve calibrated forecasting on irregular clinical time series.