Publications

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. Online Adaptative Curriculum Learning for GANs. Association for the Advancement of Artificial Intelligence (to appear), 2019.

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. Learning deep representations by mutual information estimation and maximization. International Conference on Learning Representations, 2019.

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. Deep Graph Infomax. International Conference on Learning Representations, 2019.

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. Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks. Frontiers in neuroscience, 2018.

. Mutual Information Neural Estimation. Proceedings of the 35th International Conference on Machine Learning, 2018.

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. Boundary Seeking GANs. International Conference on Learning Representations, 2018.

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. Maximum-likelihood augmented discrete generative adversarial networks. arXiv preprint arXiv:1702.07983, 2017.

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. GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. Advances in Neural Information Processing Systems 30, 2017.

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. Iterative Refinement of the Approximate Posterior for Directed Belief Networks. Advances in Neural Information Processing Systems 29, 2016.

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. Deep independence network analysis of structural brain imaging: application to schizophrenia. IEEE transactions on medical imaging, 2016.

. Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia. Neuroimage, 2015.

. Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks. NeuroImage, 2014.

. Deep learning for neuroimaging: a validation study. Frontiers in neuroscience, 2014.