Causal Inference

Generator Identification for Linear SDEs with Additive and Multiplicative Noise NeurIPS 2023 GeoFill: Reference-Based Image Inpainting With Better Geometric Understanding WACV 2023 Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning ACL 2023 Global Optimality in Bivariate Gradient-based DAG Learning NeurIPS 2023 Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification CVPR 2023 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints ICLR 2023 Granger Components Analysis: Unsupervised learning of latent temporal dependencies NeurIPS 2023 Graph Matching with Bi-level Noisy Correspondence ICCV 2023 Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments CoRL 2023 High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023 High Fidelity Image Counterfactuals with Probabilistic Causal Models ICML 2023 High Precision Causal Model Evaluation with Conditional Randomization NeurIPS 2023 History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion ACL 2023 Holistic Prediction on a Time-Evolving Attributed Graph ACL 2023 Homotopy-based training of NeuralODEs for accurate dynamics discovery NeurIPS 2023 How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning EMNLP 2023 How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CoRL 2023 HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution EMNLP 2023 Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023 iDAG: Invariant DAG Searching for Domain Generalization ICCV 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval NeurIPS 2023 Identifiability Guarantees for Causal Disentanglement from Soft Interventions NeurIPS 2023 Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance AAAI 2023 Identification of Nonlinear Latent Hierarchical Models NeurIPS 2023 Identifying the limits of transformers when performing model-checking with natural language EACL 2023