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A Scalable Laplace Approximation for Neural Networks, , and . International Conference on Learning Representations, (2018)Disentangling by Subspace Diffusion., , , and . NeurIPS, (2020)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., , , , , , , , , and 7 other author(s). CoRR, (2024)Hamiltonian Generative Networks, , , , , and . International Conference on Learning Representations, (2020)RecurrentGemma: Moving Past Transformers for Efficient Open Language Models., , , , , , , , , and 52 other author(s). CoRR, (2024)Hamiltonian Generative Networks., , , , , and . ICLR, OpenReview.net, (2020)Which priors matter? Benchmarking models for learning latent dynamics., , , , and . NeurIPS Datasets and Benchmarks, (2021)Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation., , , , , , and . ICLR, OpenReview.net, (2023)Better, Faster Fermionic Neural Networks., , , and . CoRR, (2020)