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https://openreview.net/forum?id=3o7G6tIo4X Improved Generalization of Weight Space Networks via Augmentations | OpenReview Learning in deep weight spaces (DWS), where neural networks process the weights of other neural networks, is an emerging research direction, with applications... weight space improved generalization networks via https://openreview.net/forum?id=nBPnmk6EeO Equivariant Deep Weight Space Alignment | OpenReview Permutation symmetries of deep networks make basic operations like model merging and similarity estimation challenging. In many cases, aligning the weights of... weight space equivariant deep alignment openreview https://openreview.net/forum?id=SXcW4BiEhI&referrer=%5Bthe%20profile%20of%20Qi%20Shan%5D(%2Fprofile%3Fid%3D~Qi_Shan3) HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion | OpenReview Implicit neural fields, typically encoded by a multilayer perceptron (MLP) that maps from coordinates (e.g., xyz) to signals (e.g., signed distances), have... weight space hyperdiffusion generating implicit neural https://www.space.com/31209-hypergiant-star-vy-canis-major-weight-loss.html Hypergiant Star's Weight Loss Secrets Revealed (Video) | Space Nov 25, 2015 - Data from the Very Large Telescope in Chile reveals how a red hypergiant sheds enormous mass: through extra-large dust grains. hypergiant star weight loss secrets revealed video space https://openreview.net/forum?id=5ECQL05ub0J Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum | OpenReview Most convergence guarantees for stochastic gradient descent with momentum (SGDm) rely on iid sampling. Yet, SGDm is often used outside this regime, in settings...