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Regression

4964 directly classified papers

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Papers

Integrating Fourier Neural Operators into High-Fidelity Helicopter Flight Simulation for Real-Time Urban Wind Prediction AAAI 2026
Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset AAAI 2026
iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract) AAAI 2026
Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract) AAAI 2026
SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation WACV 2026
Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026
A Differential Perspective on Distributional Reinforcement Learning AAAI 2026
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint AAAI 2026
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting AAAI 2026
SELDON: Supernova Explosions Learned by Deep ODE Networks AAAI 2026
Tensorized Label Learning via Balanced Tensor Regression AAAI 2026
Binary Split Categorical Feature with Mean Absolute Error Criteria in CART AAAI 2026
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting AAAI 2026
M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting AAAI 2026
Multi-Label Classification with Incremental and Decremental Features AAAI 2026
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026
Generalizing Analogical Inference from Boolean to Continuous Domains AAAI 2026
MDBench: Benchmarking Data-Driven Methods for Model Discovery AAAI 2026
Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline AAAI 2026
Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation WACV 2025
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity ICCV 2025
ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025
Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations ICCV 2025