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Regression

4964 directly classified papers

Papers per year

Papers

Learning Heuristic Functions for HTN Planning AAAI 2026
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis AAAI 2026
A Multi-Task Learning Framework for Modeling Engagement and Topic-Sensitive Responses in Arabic Women’s Discourse EACL 2026
KALL-E: Autoregressive Speech Synthesis with Next-Distribution Prediction AAAI 2026
ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models AAAI 2026
CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation AAAI 2026
NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction AAAI 2026
GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting AAAI 2026
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting AAAI 2026
MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting AAAI 2026
PPGPT: Transferring Next-Token Modeling from Language to PPG Signals AAAI 2026
EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting AAAI 2026
PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures AAAI 2026
Differentiable Sparse Identification of Lagrangian Dynamics AAAI 2026
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026
Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting AAAI 2026
State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis AAAI 2026
CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices AAAI 2026
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026
Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets AAAI 2026
Robust SDE Parameter Estimation Under Missing Time Information Setting AAAI 2026
Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples AAAI 2026
Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction AAAI 2026
Impute Missing Entries with Uncertainty AAAI 2026
Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026