DDN Invited Talk: Tractably Modeling with Constraints using Neural ODEs (Ricky TQ Chen)
Neural ordinary differential equations are a class of models that inherently satisfies useful constraints while also being amendable to user-specif...
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4 years ago
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DDN Invited Talk: On differentiable optimization for control and vision (Brandon Amos)
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DDN Invited Talk: Tractably Modeling with Constraints using Neural ODEs (Ricky TQ Chen)
4 years ago
00:29:36
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DDN Invited Talk: Deep equilibrium models and monotone operators (Zico Kolter)
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DDN Invited Talk: Inferring 3D shapes from image collections (Subhransu Maji)
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DDN Invited Talk: Meta-Learning Beyond Few-Shot Classification (Chelsea Finn)
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DDN Invited Talk: Deep Surface Meshes (Prof Pascal Fua)
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