Abstract
No public abstract is available from the verified source records.
Anqi Shangguan, Nan Feng, Rong Fei, Xinhong Hei, Yongze Jin, Lingxia Mu, Yajun Liu
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
10.1109/tbdata.2022.3167994
10.1109/tbdata.2022.3167994
10.1016/j.aei.2024.102832
10.1016/j.aei.2024.102832
10.1109/tii.2022.3177662
10.1109/tii.2022.3177662
10.1109/tmech.2020.3043471
10.1109/tmech.2020.3043471
10.1016/j.eswa.2024.125983
10.1016/j.eswa.2024.125983
10.1016/j.neucom.2022.05.021
10.1016/j.neucom.2022.05.021
Stochastic backpropagation and approximate inference in deep generative models
Kept as external metadata until matched
10.5555/2969033.2969125
10.5555/2969033.2969125
Wasserstein generative adversarial networks
Kept as external metadata until matched
Improved training of Wasserstein GAN s
Kept as external metadata until matched
10.1109/tpami.2021.3065601
10.1109/tpami.2021.3065601
datacite
Confidence 0%
Generalized independent noise condition for estimating causal structure with latent variables
2024
10.1145/2019583.2019586
10.1145/2019583.2019586
10.1613/jair.953
10.1613/jair.953
10.1109/ijcnn.2008.4633969
10.1109/ijcnn.2008.4633969
10.1109/tkde.2021.3130595
10.1109/tkde.2021.3130595
10.1155/2020/8837357
10.1155/2020/8837357
10.1587/transinf.2016edp7130
10.1587/transinf.2016edp7130
10.1016/j.knosys.2025.113025
10.1016/j.knosys.2025.113025
10.1016/j.jmva.2024.105323
10.1016/j.jmva.2024.105323
10.1109/tr.2022.3170063
10.1109/tr.2022.3170063
10.1109/tnnls.2015.2402162
10.1109/tnnls.2015.2402162
10.1109/tkde.2024.3461832
10.1109/tkde.2024.3461832
DAGs with NO TEARS: Continuous optimization for structure learning
Kept as external metadata until matched
Gradient-based neural DAG learning
2020
DAG-GNN: DAG structure learning with graph neural networks
Kept as external metadata until matched
10.1109/icassp39728.2021.9414770
10.1109/icassp39728.2021.9414770
10.1109/cvpr46437.2021.00947
10.1109/cvpr46437.2021.00947
10.1016/j.knosys.2024.112079
10.1016/j.knosys.2024.112079
10.1111/coin.12694
10.1111/coin.12694
10.1093/ije/dyae113
10.1093/ije/dyae113
10.7551/mitpress/1754.001.0001
10.7551/mitpress/1754.001.0001
10.1109/tim.2024.3522374
10.1109/tim.2024.3522374
10.1016/j.ces.2025.121683
10.1016/j.ces.2025.121683
10.1109/tii.2025.3575112
10.1109/tii.2025.3575112
10.1016/j.knosys.2025.113732
10.1016/j.knosys.2025.113732
Unsupervised representation learning with deep convolutional generative adversarial networks
2015
No additional external references are available.