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Federica Bianco (she/her): What a jungle! A loss function that's fantastic. We know that same Federica Bianco (she/her): when the zoom will a loss function. Federica Bianco (she/her): I There's a Federica Bianco (she/her): A. Federica Bianco (she/her): The Federica Bianco (she/her): generative models Federica Bianco (she/her): me to the Federica Bianco (she/her): Okay. Federica Bianco (she/her): the No book. So no crystal or book adjusts to Github a la through. Okay, if you need to, or just with convolutional neural network Federica Bianco (she/her): in Federica Bianco (she/her): the Federica Bianco (she/her): it's, it's it's Federica Bianco (she/her): body Federica Bianco (she/her): stochastic signal from your ordinary differential equations. Federica Bianco (she/her): You're like we're still in. Federica Bianco (she/her): But i'll keep you coming into this, so they have to get you any. So no turbulent flow. Federica Bianco (she/her): You's the exciting, informed super resolution, generative, adversarial, for subgroup modeling in Turbo, and so Federica Bianco (she/her): reactive flows could look, if I know I would be Zara generative AI Quindy guns. A physics informed that of simpler, partial, differential equations, because in Britain and to peer periodic with the imagine is super resolved images. Federica Bianco (she/her): The modality flow Elena Manari: Okay. Federica Bianco (she/her): perfect.
MLPNS | Convolutional NN 2 & Physics Informed NN
From Federica Bianco April 28, 2023
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Zoom Recording ID: 94326781852
UUID: Asr3Hp/rSn6SmdDvjaOYVg==
Meeting Time: 2023-04-28 02:32:15pmGMT
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