However, since autoencoder adopts the bottleneck layer to reconstruct data, it is hard to control its generalization capability. When the generalization capability is high, anomalous features can be ...

AESTETIK: AutoEncoder for Spatial Transcriptomics Expression with Topology and Image Knowledge This model is part of the paper "Representation learning for multi-modal spatially resolved ...

However, most existing autoencoder-based methods only rely on the single autoencoder model, which pose challenges for multi-label feature representations learning and fail to measure similarities ...

ValueError: Cannot load <class 'diffusers.models.autoencoders.autoencoder_kl.AutoencoderKL'> from nvidia/difix_ref because the following keys are missing: decoder.up ...