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Papers
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
AAAI 2025
Hybrid Local Causal Discovery
IJCAI 2025
Score-based Causal Representation Learning: Linear and General Transformations
JMLR 2025
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
JMLR 2025
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor
ACL 2024
EigenVI: score-based variational inference with orthogonal function expansions
NeurIPS 2024
On Causal Discovery in the Presence of Deterministic Relations
NeurIPS 2024
Score-Based Causal Discovery of Latent Variable Causal Models
ICML 2024
Score-based Quickest Change Detection for Unnormalized Models
AISTATS 2023
Kernel Stein Discrepancy Descent
ICML 2021
Structure Learning for Cyclic Linear Causal Models
UAI 2020