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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12 Pith papers cite this work. Polarity classification is still indexing.
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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.
Decoherence from a shared lossy reservoir induces genuine quantum interference among two to four photons from two incoherent spontaneous parametric down-converters.
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.
Logistic KAN and KAAM achieve competitive or superior accuracy on clinical datasets compared to linear, tree, and neural baselines while providing built-in interpretability via symbolic forms and feature-wise decompositions.
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.
Survey of Italian adults finds generative AI adoption and capital-enhancing uses stratified by education, age, tech familiarity, and gender, with AI training as key predictor of purposeful engagement.
Machine learning competitions on platforms like Kaggle and Zindi act as bridges between academic research and industry, driving AI development through crowdsourced problem-solving, knowledge exchange, and open-source ties.
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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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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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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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Interpretable Clinical Classification with Kolmogorov-Arnold Networks
Logistic KAN and KAAM achieve competitive or superior accuracy on clinical datasets compared to linear, tree, and neural baselines while providing built-in interpretability via symbolic forms and feature-wise decompositions.
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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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Generative AI Practices, Literacy, and Divides: An Empirical Analysis in the Italian Context
Survey of Italian adults finds generative AI adoption and capital-enhancing uses stratified by education, age, tech familiarity, and gender, with AI training as key predictor of purposeful engagement.
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The ecosystem of machine learning competitions: Platforms, participants, and their impact on AI development
Machine learning competitions on platforms like Kaggle and Zindi act as bridges between academic research and industry, driving AI development through crowdsourced problem-solving, knowledge exchange, and open-source ties.
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