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Hamiltonian Generative Networks, , , , , и . International Conference on Learning Representations, (2020)Hamiltonian Generative Networks., , , , , и . CoRR, (2019)A Scalable Laplace Approximation for Neural Networks, , и . International Conference on Learning Representations, (2018)Normalizing flows for lattice gauge theory in arbitrary space-time dimension., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Disentangling by Subspace Diffusion., , , и . NeurIPS, (2020)Aspects of scaling and scalability for flow-based sampling of lattice QCD., , , , , , , , , и 3 other автор(ы). CoRR, (2022)The Gauss-Newton matrix for Deep Learning models and its applications.. University College London, UK, (2020)British Library, EThOS.Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models., , , , , , , , , и 7 other автор(ы). CoRR, (2024)Hamiltonian Generative Networks., , , , , и . ICLR, OpenReview.net, (2020)Which priors matter? Benchmarking models for learning latent dynamics., , , , и . NeurIPS Datasets and Benchmarks, (2021)