A 5B-parameter latent diffusion model generates real-time four-player Rocket League matches conditioned on all players' actions, staying stable far beyond its training horizon.
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Partial fusion of neural networks — merging only the most similar neurons via partial optimal transport or clustering — yields a monotone, tunable accuracy/parameter tradeoff between weight aggregation and ensembles.
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Multiplayer Interactive World Models with Representation Autoencoders
A 5B-parameter latent diffusion model generates real-time four-player Rocket League matches conditioned on all players' actions, staying stable far beyond its training horizon.
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Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation
Partial fusion of neural networks — merging only the most similar neurons via partial optimal transport or clustering — yields a monotone, tunable accuracy/parameter tradeoff between weight aggregation and ensembles.