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Simulating Execution Time of Tensor Programs using Graph Neural Networks.

, , и . CoRR, (2019)

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Frauke Tomczak

Gerhard Tomczak

Matthias Tomczak

Josef Tomczak

Jakub Mácha

Analytische Theorien der Metapher: Untersuchungen zum Konzept der metaphorischen Bedeutung. Uni Hannover, (2009)
 

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Sylvester Normalizing Flows for Variational Inference., , , и . UAI, стр. 393-402. AUAI Press, (2018)Self-paced Learning for Imbalanced Data., , и . ACIIDS (1), том 9621 из Lecture Notes in Computer Science, стр. 564-573. Springer, (2016)Alleviating Adversarial Attacks on Variational Autoencoders with MCMC., , и . NeurIPS, (2022)Invertible DenseNets with Concatenated LipSwish., , и . NeurIPS, стр. 17246-17257. (2021)Storchastic: A Framework for General Stochastic Automatic Differentiation., , и . NeurIPS, стр. 7574-7587. (2021)M2R: a Python add-on to cobrapy for modifying human genome-scale metabolic reconstruction using the gut microbiota models., , и . Bioinform., 37 (17): 2785-2786 (2021)Improving Variational Auto-Encoders using Householder Flow., и . CoRR, (2016)Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series., , , и . Trans. Mach. Learn. Res., (2024)Variational Stochastic Gradient Descent for Deep Neural Networks., , , и . CoRR, (2024)Mixed Models with Multiple Instance Learning., , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3664-3672. PMLR, (2024)