Data Science & Analytics

The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space AAAI 2025 The Case for Learned Provenance-based System Behavior Baseline ICML 2025 The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender AAAI 2025 The UNLP 2025 Shared Task on Detecting Social Media Manipulation ACL 2025 The Unreasonable Effectiveness of Open Science in AI: A Replication Study AAAI 2025 The Value of Prediction in Identifying the Worst-Off ICML 2025 TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting ICML 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025 TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025 TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment AAAI 2025 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation ICML 2025 TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts AAAI 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting ICML 2025 TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation AAAI 2025 Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025 TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning ICML 2025 TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state ICML 2025 Timer-XL: Long-Context Transformers for Unified Time Series Forecasting ICLR 2025 Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting AAAI 2025 Time-series attribution maps with regularized contrastive learning AISTATS 2025 Time Series Representations with Hard-Coded Invariances ICML 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting ICML 2025 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025 TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation ICML 2025