Tractable Regularization of Probabilistic Circuits

von Liu, Anji
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 5 of 36 (2022)

Sparse Probabilistic Circuits via Pruning and Growing

von Dang, Meihua
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 37 of 50 (2023)

OFF-POLICY DEEP REINFORCEMENT LEARNING WITH ANALOGOUS DISENTANGLED EXPLORATION

von Liu, Anji
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 2 of 3 (2021)

Explicit Sparse Attention Network for Multimodal Named Entity Recognition

von Liu, Yunfei
Veröffentlicht in CCKS (7. : 2022 : Qinhuangdao) Knowledge graph and semantic computing: knowledge graph empowers the digital economy (2022)

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation

von Ren, Zhizhou
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 21 of 50 (2023)

A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference

von Vergari, Antonio
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

Tractable and Expressive Generative Models of Genetic Variation Data

von Dang, Meihua
Veröffentlicht in RECOMB (26. : 2022 : La Jolla, Calif.) Research in computational molecular biology (2022)