Cosmos 3: Omnimodal World Models for Physical AI
Paper • 2606.02800 • Published • 100
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Real-Time Prediction of Gas Flow Dynamics in Diesel Engines using a Deep Neural Operator Framework
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A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
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Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows
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MotiF: Making Text Count in Image Animation with Motion Focal Loss
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Goal-Conditioned Predictive Coding as an Implicit Planner for Offline Reinforcement Learning
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Do Pre-trained Vision-Language Models Encode Object States?
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