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Deep Rao-Blackwellised Particle Filters for Time Series Forecasting., , , , and . NeurIPS, (2020)An operator preconditioning perspective on training in physics-informed machine learning., , , and . ICLR, OpenReview.net, (2024)A Neural Tangent Kernel Perspective of GANs., , , , , and . CoRR, (2021)Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting., , , , , , and . ICLR, OpenReview.net, (2021)Unsupervised Adversarial Image Reconstruction., , and . ICLR (Poster), OpenReview.net, (2019)A Principle of Least Action for the Training of Neural Networks., , , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 101-117. Springer, (2020)Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations., , , and . ICASSP, page 3232-3236. IEEE, (2020)Convolutional Neural Operators., , , , and . CoRR, (2023)An operator preconditioning perspective on training in physics-informed machine learning., , , and . CoRR, (2023)CycleGAN Through the Lens of (Dynamical) Optimal Transport., , and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 132-147. Springer, (2021)