Quantum reservoirs handle multivariate time series best with task-specific encodings that leverage non-classical effects.
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Optuna: A next- generation hyperparameter optimization framework
12 Pith papers cite this work. Polarity classification is still indexing.
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SSLA approximates the posterior predictive distribution by refitting Bayesian models on self-predicted data, providing a sampling-free method that improves predictive calibration over classical Laplace approximations in regression tasks.
Tabular diffusion models leak membership information via attacks even with partial attacker knowledge, and common heuristic privacy metrics like distance-to-closest-record are unreliable.
CosmoPostProcess delivers simulation-calibrated radial corrections for projection-induced selection bias (20-40% amplitude near 1 h^{-1} Mpc) and baryonic effects in Euclid richness-selected cluster weak lensing profiles.
A new overdensity-conditioned emulator trained on small subvolumes from Quijote recovers the global halo mass function via integration over the overdensity distribution at 0.026% of the simulation cost.
Natural language embeddings of synthesis and testing conditions improve ML predictions of glass dissolution rates and enable generalization to out-of-distribution compositions with new elements.
No signal observed for B+ → π+ μ± e∓; branching fraction upper limit set at 1.8 × 10^{-9} at 90% CL.
A physics-informed neural network infers pT spectra of pi, K, p, Lambda, and Ks in unmeasured rapidity regions from PYTHIA8 pp collisions at 13.6 TeV, achieving 1.5-5.83% yield uncertainties while reproducing yield ratios and freeze-out parameters.
Scaling extrinsic messages by decoder confidence in Chase-Pyndiah decoding for product codes delivers a 0.1 dB gain over the baseline decoder.
VIGILant applies tree-based models and a ResNet CNN to classify Virgo O3b glitches with 98% accuracy and has been deployed for daily use with an interactive dashboard.
PR3DICTR is a new open-access modular framework for 3D medical image classification and outcome prediction that works with as little as two lines of code.
The paper designs a reinforcement learning-based automatic ground collision avoidance system for jet trainers that uses limited observations and line-of-sight terrain queries to prevent collisions.
citing papers explorer
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Multivariate quantum reservoir computing with discrete and continuous variable systems
Quantum reservoirs handle multivariate time series best with task-specific encodings that leverage non-classical effects.
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Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification
SSLA approximates the posterior predictive distribution by refitting Bayesian models on self-predicted data, providing a sampling-free method that improves predictive calibration over classical Laplace approximations in regression tasks.
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On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
Tabular diffusion models leak membership information via attacks even with partial attacker knowledge, and common heuristic privacy metrics like distance-to-closest-record are unreliable.
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Euclid preparation. CosmoPostProcess: A simulation calibrated framework for weak lensing selection bias in richness-selected galaxy clusters
CosmoPostProcess delivers simulation-calibrated radial corrections for projection-induced selection bias (20-40% amplitude near 1 h^{-1} Mpc) and baryonic effects in Euclid richness-selected cluster weak lensing profiles.
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Efficiently emulating distribution functions in gigaparsec volumes for varying cosmological parameters
A new overdensity-conditioned emulator trained on small subvolumes from Quijote recovers the global halo mass function via integration over the overdensity distribution at 0.026% of the simulation cost.
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Natural Language Embeddings of Synthesis and Testing conditions Enhance Glass Dissolution Prediction
Natural language embeddings of synthesis and testing conditions improve ML predictions of glass dissolution rates and enable generalization to out-of-distribution compositions with new elements.
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Search for the lepton-flavour violating decays $B^+ \to \pi^+ \mu^\pm e^\mp$
No signal observed for B+ → π+ μ± e∓; branching fraction upper limit set at 1.8 × 10^{-9} at 90% CL.
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Inferring identified hadron production in $pp$ collisions with physics-informed machine learning at the LHC
A physics-informed neural network infers pT spectra of pi, K, p, Lambda, and Ks in unmeasured rapidity regions from PYTHIA8 pp collisions at 13.6 TeV, achieving 1.5-5.83% yield uncertainties while reproducing yield ratios and freeze-out parameters.
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Improved Chase-Pyndiah Decoding for Product Codes with Scaled Messages
Scaling extrinsic messages by decoder confidence in Chase-Pyndiah decoding for product codes delivers a 0.1 dB gain over the baseline decoder.
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VIGILant: an automatic classification pipeline for glitches in the Virgo detector
VIGILant applies tree-based models and a ResNet CNN to classify Virgo O3b glitches with 98% accuracy and has been deployed for daily use with an interactive dashboard.
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PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction
PR3DICTR is a new open-access modular framework for 3D medical image classification and outcome prediction that works with as little as two lines of code.
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An Automatic Ground Collision Avoidance System with Reinforcement Learning
The paper designs a reinforcement learning-based automatic ground collision avoidance system for jet trainers that uses limited observations and line-of-sight terrain queries to prevent collisions.