Methods

eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract) AAAI 2023 Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian ICML 2023 EINNs: Epidemiologically-Informed Neural Networks AAAI 2023 ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract) AAAI 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023 Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis EMNLP 2023 Exploring and Verbalizing Academic Ideas by Concept Co-occurrence ACL 2023 Exploring Context-Aware Evaluation Metrics for Machine Translation EMNLP 2023 Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract) AAAI 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics JMLR 2023 Fast Online Hashing with Multi-Label Projection AAAI 2023 Fast Optimal Locally Private Mean Estimation via Random Projections NeurIPS 2023 Feature Programming for Multivariate Time Series Prediction ICML 2023 Federated Heavy Hitter Recovery under Linear Sketching ICML 2023 FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures CVPR 2023 Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NeurIPS 2023 Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023 FLIP: A Utility Preserving Privacy Mechanism for Time Series JMLR 2023 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space NeurIPS 2023 Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management IJCAI 2023 Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose AAAI 2023 ForecastPFN: Synthetically-Trained Zero-Shot Forecasting NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NeurIPS 2023 Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NeurIPS 2023