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Siamese Masked Autoencoders
SiamMAE operates on pairs of randomly sampled video frames and asymmetrically masks them.
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Chaining Mutual Information and Tightening Generalization Bounds
Amir Asadi, Emmanuel Abbe, Sergio Verdu
Neural Information Processing Systems http://nips.cc/
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Latent Field Discovery In Interacting Dynamical Systems With Neural Fields
Systems of interacting objects often evolve under the influence of field effects that govern their dynamics, yet previous works have abstracted away from such effects, and assume that systems evolve in a vacuum. In this work, we focus on discovering these fields, and infer them from the observed dynamics alone, without directly observing them.
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Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks Felix Dangel
Physics-informed neural networks (PINNs) are infamous for being hard to train.
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