:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yanlin, Young, Nancy M, Wong, Patrick C M
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.01362
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forecasting Spoken Language Development in Children with Cochlear Implants Using Preimplantation MRI
by: Wang, Yanlin, et al.
Published: (2025)

Orthogonal greedy algorithm for linear operator learning with shallow neural network
by: Lin, Ye, et al.
Published: (2025)

Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks
by: Lim, Dong-Young, et al.
Published: (2021)

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
by: Buzhardt, Jake, et al.
Published: (2024)

A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania
by: Stochiţoiu, Radu D., et al.
Published: (2020)

Fast instance-specific algorithm configuration with graph neural network
by: Aihara, Shingo, et al.
Published: (2025)

Physics-Embedded Gaussian Process for Traffic State Estimation
by: Chen, Yanlin, et al.
Published: (2025)

Graph neural networks for the prediction of molecular structure-property relationships
by: Rittig, Jan G., et al.
Published: (2022)

Neural network relief: a pruning algorithm based on neural activity
by: Dekhovich, Aleksandr, et al.
Published: (2021)

A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
by: Domingo, L., et al.
Published: (2023)

Quality analysis and evaluation prediction of RAG retrieval based on machine learning algorithms
by: Zhang, Ruoxin, et al.
Published: (2025)

When predict can also explain: few-shot prediction to select better neural latents
by: Dabholkar, Kabir, et al.
Published: (2024)

Prototype-enhanced prediction in graph neural networks for climate applications
by: Keshtmand, Nawid, et al.
Published: (2025)

ReflectivePrompt: Reflective evolution in autoprompting algorithms
by: Zhuravlev, Viktor N., et al.
Published: (2025)

One-step learning algorithm selection for classification via convolutional neural networks
by: Maldonado, Sebastian, et al.
Published: (2023)

A simple algorithm for output range analysis for deep neural networks
by: Rojas, Helder, et al.
Published: (2024)

Progressive multi-fidelity learning with neural networks for physical system predictions
by: Conti, Paolo, et al.
Published: (2025)

Goodness-of-pronunciation without phoneme time alignment
by: Wong, Jeremy H. M., et al.
Published: (2026)

Regression prediction algorithm for energy consumption regression in cloud computing based on horned lizard algorithm optimised convolutional neural network-bidirectional gated recurrent unit
by: Li, Feiyang, et al.
Published: (2024)

An effective physics-informed neural operator framework for predicting wavefields
by: Ma, Xiao, et al.
Published: (2025)

Comparison of the Cox proportional hazards model and Random Survival Forest algorithm for predicting patient-specific survival probabilities in clinical trial data
by: Graf, Ricarda, et al.
Published: (2025)

Post-variational quantum neural networks
by: Huang, Po-Wei, et al.
Published: (2023)

LIFT: Interpretable truck driving risk prediction with literature-informed fine-tuned LLMs
by: Hu, Xiao, et al.
Published: (2025)

The duality structure gradient descent algorithm: analysis and applications to neural networks
by: Flynn, Thomas
Published: (2017)

Collective variables of neural networks: empirical time evolution and scaling laws
by: Tovey, Samuel, et al.
Published: (2024)

A Broader View of Thompson Sampling
by: Qu, Yanlin, et al.
Published: (2025)

Dimension-Free Saddle-Point Escape in Muon
by: Long, Yanlin, et al.
Published: (2026)

Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint
by: Wang, Hanyang, et al.
Published: (2024)

A prediction rigidity formalism for low-cost uncertainties in trained neural networks
by: Bigi, Filippo, et al.
Published: (2024)

Review of algorithms for predicting fatigue using EEG
by: Rakhmatulin, Ildar
Published: (2024)

Towards physics-informed neural networks for landslide prediction
by: Dahal, Ashok, et al.
Published: (2024)

Uncertainty quantification in neural network-based glucose prediction for diabetes
by: Tan, Hai Siong, et al.
Published: (2026)

Crystal structure prediction using graph neural combinatorial optimization
by: Gerolymatos, Stavros, et al.
Published: (2026)

Automatic driving lane change safety prediction model based on LSTM
by: Sun, Wenjian, et al.
Published: (2024)

Competitive strategies to use "warm start" algorithms with predictions
by: Srinivas, Vaidehi, et al.
Published: (2024)

A neural recommender system leveraging transfer learning for property prediction of ionic liquids
by: Sethi, Sahil, et al.
Published: (2025)

Deep Learning for Markov Chains: Lyapunov Functions, Poisson's Equation, and Stationary Distributions
by: Qu, Yanlin, et al.
Published: (2025)

Deep Learning for Computing Convergence Rates of Markov Chains
by: Qu, Yanlin, et al.
Published: (2024)

An improved wind power prediction via a novel wind ramp identification algorithm
by: Xu, Yifan
Published: (2025)

On margin-based generalization prediction in deep neural networks
by: Mouton, Coenraad
Published: (2024)