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  "author": "Alec Edwards",
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      "extra_author": "Mirco Giacobbe",
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      "extra_author": "Alessandro Abate",
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  "name": "neural-abstractions-for-dynamical-models",
            
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  "notes": "The dataset used in this paper is a collection of neural 
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  "notes": "The dataset used in this paper is a collection of neural 
            
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abstractions for dynamical models. The dataset consists of neural 
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abstractions for dynamical models. The dataset consists of neural 
            
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networks with different activation functions (piecewise constant, 
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networks with different activation functions (piecewise constant, 
            
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piecewise affine, and sigmoidal) and different architectures. The 
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piecewise affine, and sigmoidal) and different architectures. The 
            
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dataset is used to evaluate the trade-off between efficiency and 
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dataset is used to evaluate the trade-off between efficiency and 
            
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precision of neural abstractions.",
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precision of neural abstractions.",
            
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}
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}