Showing 1–20 of 26 results
/ Date/ Name
Nov 4, 2022Modeling Temporal Data as Continuous Functions with Stochastic Process DiffusionMar 6, 2025TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot ForecasterOct 12, 2023Lag-Llama: Towards Foundation Models for Probabilistic Time Series ForecastingJan 4, 2025Reweighting Improves Conditional Risk BoundsMar 31, 2026AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMsOct 9, 2025Improving Reasoning for Diffusion Language Models via Group Diffusion Policy OptimizationFeb 5, 2024Empowering Time Series Analysis with Large Language Models: A SurveyMar 9, 2024$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series ForecastingOct 19, 2025Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky VisionSep 30, 2025Understanding the Mixture-of-Experts with Nadaraya-Watson KernelFeb 4, 2025Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series ForecastingDec 30, 2025AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard NegativesJan 29, 2026GeoNorm: Unify Pre-Norm and Post-Norm with Geodesic OptimizationJul 10, 2025SAS: Simulated Attention ScoreMay 26, 2022Do price trajectory data increase the efficiency of market impact estimation?May 28, 2023Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes ProcessesJun 1, 2023Inference and Sampling of Point Processes from Diffusion ExcursionsAug 9, 2025Technical Report: Full-Stack Fine-Tuning for the Q Programming LanguageMay 12, 2023Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationFeb 20, 2024Structural Knowledge Informed Continual Multivariate Time Series Forecasting