📈 Time Series Analysis - jhcha.oyo

🤖AI Academic

arxiv.org·

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective

🤖AI Academic

arxiv.org·

Light-induced quantum friction of carbon nanotubes in water

🎲Stochastic Processes Academic

nature.com·

QAAR-SIREN: quantum-augmented attention and residual SIREN for time-series forecasting

⚛️Quantum Computing Academic

sciencedirect.com·

Does Normalization Choice Matter for Causal Large Time-Series Models?

📊Bayesian Statistics Academic

arxiv.org·

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting

🤖Machine Learning Academic

arxiv.org·

FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting

🤖Machine Learning Academic

arxiv.org·

Towards Critical Branching Mechanism in Recurrent Neural Networks

🤖AI Academic

arxiv.org·

InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs

⚡Transformers Academic

arxiv.org·

Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

🤖AI Academic

arxiv.org·

Achieving China's shale gas targets: Policy synergies resolving production deficits via system dynamics modeling

💹Economics Academic

sciencedirect.com·

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

⚡Transformers Academic

arxiv.org·

Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control

🤖AI Academic

arxiv.org·

Stochastic weather generators for high-frequency wind vector time series

📊Bayesian Statistics Academic

arxiv.org·

CG-MambaNet: A spatiotemporal framework for cross-patient epileptic seizure prediction using CNN-GCN-Mamba-BiLSTM with event-level clinical evaluation

🧠Deep Learning Academic

arxiv.org·

Temporal Context Conditioning for Seasonality-Aware Precipitation Nowcasting of High-Intensity Rainfall

🤖Machine Learning Academic

arxiv.org·

Uniform central limit theorems for non-stationary processes via relative weak convergence

📊Statistics Academic

arxiv.org·

Multi-Scale Markov Switching GARCH

📊Quantitative Finance Academic

arxiv.org·

Optimal Wiener-Filter Solutions for Denoising of Graph Signals on Directed Graphs

🕸️Graph Theory Academic

arxiv.org·

On Architecture Research

Causal Semantic Alignment for LLM-based Time Series Forecasting

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective

Light-induced quantum friction of carbon nanotubes in water

QAAR-SIREN: quantum-augmented attention and residual SIREN for time-series forecasting

Does Normalization Choice Matter for Causal Large Time-Series Models?

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting

FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting

Towards Critical Branching Mechanism in Recurrent Neural Networks

InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs

Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

Achieving China's shale gas targets: Policy synergies resolving production deficits via system dynamics modeling

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data

Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control

Stochastic weather generators for high-frequency wind vector time series

CG-MambaNet: A spatiotemporal framework for cross-patient epileptic seizure prediction using CNN-GCN-Mamba-BiLSTM with event-level clinical evaluation

Temporal Context Conditioning for Seasonality-Aware Precipitation Nowcasting of High-Intensity Rainfall

Uniform central limit theorems for non-stationary processes via relative weak convergence

Multi-Scale Markov Switching GARCH

Optimal Wiener-Filter Solutions for Denoising of Graph Signals on Directed Graphs