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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12 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2 cond-mat.mtrl-sci 1 cond-mat.soft 1 cond-mat.stat-mech 1 cs.CL 1 cs.CV 1 eess.SP 1 eess.SY 1 physics.ed-ph 1 q-bio.PE 1years
2026 12roles
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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.
AeroSense learns an end-to-end mapping from instantaneous aircraft-state situations to future regional traffic flow and reports higher accuracy than aggregation-based baselines on real data, especially in high-density conditions.
StructGP couples process-convolution Gaussian processes with differentiable DAG learning to forecast irregular clinical time series and recover inter-variable dependency graphs; LP-StructGP adds shared latent patient pathways for long-horizon forecasts.
FARM combines a masked autoencoder with a diffusion-based decoder to construct aerial radio maps in both condition-based and condition-free settings, trained on a new large-scale 3D radio dataset (ARM-Omni).
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.
Metallic-style point particles and hard polyhedra share the same polymorphs and multistep crystallization pathways because their interactions are effectively similar under a pairwise mapping.
Multimodal LLM reached 84% exact agreement with humans on binary computational thinking sub-practices in 100 essays but only 71% agreement on holistic quality scores.
citing papers explorer
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Incorporating the underuse problem in the tragedy of the commons
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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Probing lattice fluctuations using solid-state high-harmonic spectroscopy
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.
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Unlocking air traffic flow prediction through microscopic aircraft-state modeling
AeroSense learns an end-to-end mapping from instantaneous aircraft-state situations to future regional traffic flow and reports higher accuracy than aggregation-based baselines on real data, especially in high-density conditions.
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Differentiable latent structure discovery for interpretable forecasting in clinical time series
StructGP couples process-convolution Gaussian processes with differentiable DAG learning to forecast irregular clinical time series and recover inter-variable dependency graphs; LP-StructGP adds shared latent patient pathways for long-horizon forecasts.
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FARM: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking
FARM combines a masked autoencoder with a diffusion-based decoder to construct aerial radio maps in both condition-based and condition-free settings, trained on a new large-scale 3D radio dataset (ARM-Omni).
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Decoherence-induced Multiphoton Interference
Decoherence from a shared lossy reservoir induces genuine quantum interference among two to four photons from two incoherent spontaneous parametric down-converters.
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On ANN-enhanced positive invariance for nonlinear flat systems
A ReLU neural network approximates the distorted constraint set in flat systems to derive a positively invariant set for control synthesis.
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VDLF-Net: Variational Feature Fusion for Adaptive and Few-Shot Visual Learning
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.
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CAMO: A Class-Aware Minority-Optimized Ensemble for Robust Language Model Evaluation on Imbalanced Data
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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Anatomy of a Complex Crystallization Pathway
Metallic-style point particles and hard polyhedra share the same polymorphs and multistep crystallization pathways because their interactions are effectively similar under a pairwise mapping.
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Using Large Language Models to Analyze Engagement in Computational Thinking via Computational Physics Essays
Multimodal LLM reached 84% exact agreement with humans on binary computational thinking sub-practices in 100 essays but only 71% agreement on holistic quality scores.
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