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MR-GAN: Manifold Regularized Generative Adversarial Networks.

Q. Li, B. Kailkhura, R. Anirudh, Y. Zhou, Y. Liang, and P. Varshney. CoRR, (2018)

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Anirudh Ramachandran

Other publications of authors with the same name

Unsupervised Dimension Selection using a Blue Noise Spectrum.J. Thiagarajan, R. Anirudh, R. Sridhar, and P. Bremer. CoRR, (2018)Rate-Invariant Autoencoding of Time-Series.K. Koneripalli, S. Lohit, R. Anirudh, and P. Turaga. ICASSP, page 3732-3736. IEEE, (2020)The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation.K. Thopalli, R. Anirudh, P. Turaga, and J. Thiagarajan. IEEE Access, (2023)Towards realtime measurement of connectedness in human movement.M. Krzyzaniak, R. Anirudh, V. Venkataraman, P. Turaga, and S. Wei. MOCO, page 120-123. ACM, (2015)Elastic Functional Coding of Riemannian Trajectories.R. Anirudh, P. Turaga, J. Su, and A. Srivastava. IEEE Trans. Pattern Anal. Mach. Intell., 39 (5): 922-936 (2017)Riemannian Geometric Approaches for Measuring Movement Quality.A. Som, R. Anirudh, Q. Wang, and P. Turaga. CVPR Workshops, page 1005. IEEE Computer Society, (2016)Understanding Deep Neural Networks through Input Uncertainties.J. Thiagarajan, I. Kim, R. Anirudh, and P. Bremer. ICASSP, page 2812-2816. IEEE, (2019)Statistical and Dynamical Modeling of Riemannian Trajectories with Application to Human Movement Analysis.R. Anirudh. Arizona State University, Tempe, USA, (2016)base-search.net (ftarizonastateun:item:38533).Accurate and Robust Feature Importance Estimation under Distribution Shifts.J. Thiagarajan, V. Narayanaswamy, R. Anirudh, P. Bremer, and A. Spanias. AAAI, page 7891-7898. AAAI Press, (2021)The Double-Edged Sword Of Ai Safety: Balancing Anomaly Detection and OOD Generalization Via Model Anchoring.V. Narayanaswamy, R. Anirudh, and J. Thiagarajan. ICASSP, page 7235-7239. IEEE, (2024)

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MR-GAN: Manifold Regularized Generative Adversarial Networks.

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Anirudh Ramachandran

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Disambiguation

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Disambiguation of "Anirudh, Rushil"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MR-GAN: Manifold Regularized Generative Adversarial Networks.

Please choose a person to relate this publication to

Anirudh Ramachandran

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MR-GAN: Manifold Regularized Generative Adversarial Networks.