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Chi-square Generative Adversarial Network.

, , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4894-4903. PMLR, (2018)

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What is observable in a class of neurodynamics?, and . ESANN, page 149-154. (1998)A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics., and . Neural Processing Letters, 4 (1): 9-16 (1996)A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data., , and . BMC Bioinformatics, (2008)Granger causality vs. dynamic Bayesian network inference: a comparative study., and . BMC Bioinformatics, (2009)Spatio-temporal Granger causality: A new framework., , , , , , and . NeuroImage, (2013)Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor., , , , , , and . J. Franklin Institute, 344 (3-4): 180-195 (2007)Canonical kernel dimension reduction., and . Computational Statistics & Data Analysis, (2017)GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition., , , and . AAAI, page 8126-8133. AAAI Press, (2019)Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization., , and . Neural Connectomics, volume 46 of JMLR Workshop and Conference Proceedings, page 55-64. JMLR.org, (2014)On the Spectral Characterization and Scalable Mining of Network Communities., , and . IEEE Trans. Knowl. Data Eng., 24 (2): 326-337 (2012)