Data Science & Analytics

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation NeurIPS 2024 Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NeurIPS 2024 A Dynamical View of the Question of Why ICLR 2024 aeon: a Python Toolkit for Learning from Time Series JMLR 2024 A Fine-grained citation graph for biomedical academic papers: the finding-citation graph ACL 2024 Aggregating Impressions on Celebrities and their Reasons from Microblog Posts and Web Search Pages ACL 2024 A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs UAI 2024 AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings CVPR 2024 Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists NeurIPS 2024 AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery NeurIPS 2024 Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering NeurIPS 2024 Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 Amortized Equation Discovery in Hybrid Dynamical Systems ICML 2024 Analysis of Annotator Demographics in Sexism Detection ACL 2024 Analysis of articulatory setting for L1 and L2 English speakers using MRI data Interspeech 2024 Analyzing D^α seeding for k-means ICML 2024 An Analysis of Linear Time Series Forecasting Models ICML 2024 An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024 A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering ICML 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 An engine not a camera: Measuring performative power of online search NeurIPS 2024 A new machine-actionable corpus for ancient text restoration ACL 2024 An LLM-enhanced Agent-based Simulation Tool for Information Propagation IJCAI 2024 An NCDE-based Framework for Universal Representation Learning of Time Series IJCAI 2024 Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning IJCAI 2024