Author of the publication

Variational Autoencoders and Nonlinear ICA: A Unifying Framework.

, , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2207-2217. PMLR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Variational Autoencoders and Nonlinear ICA: A Unifying Framework., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2207-2217. PMLR, (2020)Causal Autoregressive Flows., , , and . CoRR, (2020)Causal Discovery with General Non-Linear Relationships using Non-Linear ICA., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 186-195. AUAI Press, (2019)Classifying HCP task-fMRI networks using heat kernels., , , and . PRNI, page 1-4. IEEE, (2016)Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data., , , , , and . PRNI, page 1-4. IEEE Computer Society, (2015)Text-mining the neurosynth corpus using deep boltzmann machines., , , , and . PRNI, page 1-4. IEEE, (2016)Controllable Generative Modeling via Causal Reasoning., , and . Trans. Mach. Learn. Res., (2022)Identifiability of latent-variable and structural-equation models: from linear to nonlinear., , and . CoRR, (2023)ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA., , , and . NeurIPS, (2020)Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA, , and . (2019)cite arxiv:1904.09096.