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CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks.

, , , , , and . AAAI, page 7975-7983. AAAI Press, (2022)

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Intrinsic Multi-scale Evaluation of Generative Models., , , , , , and . CoRR, (2019)The Shape of Data: Intrinsic Distance for Data Distributions, , , , , , and . International Conference on Learning Representations, (2020)Quadrature-based features for kernel approximation., , , and . NeurIPS, page 9165-9174. (2018)CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks., , , , , and . AAAI, page 7975-7983. AAAI Press, (2022)FREDE: Anytime Graph Embeddings., , , , , and . Proc. VLDB Endow., 14 (6): 1102-1110 (2021)Unsupervised Embedding Quality Evaluation., , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 169-188. PMLR, (2023)The Shape of Data: Intrinsic Distance for Data Distributions., , , , , , and . ICLR, OpenReview.net, (2020)Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs., , and . WWW, page 2697-2703. ACM / IW3C2, (2020)GRASP: Graph Alignment Through Spectral Signatures., , , , , and . APWeb/WAIM (1), volume 12858 of Lecture Notes in Computer Science, page 44-52. Springer, (2021)