PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
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Dec 15, 2020 - Python
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posterior-collapse
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A curated list of techniques to avoid posterior collapse
awesome generative-model awesome-list variational-inference variational-autoencoder posterior-collapse
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Jan 22, 2023
Official Repository for the AISTATS paper "The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies" (AISTATS 2023, https://arxiv.org/abs/2010.14860)
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Feb 23, 2023 - Python
🧠 From-scratch PyTorch VAE comparative study on MNIST — Beta-VAE, cyclical KL annealing & a convolutional decoder across 20 experiments, cutting validation loss 73% vs. the MLP baseline (81.6 → 21.9).
python computer-vision deep-learning pytorch mnist generative-model vae representation-learning unsupervised-learning beta-vae variational-autoencoder kl-divergence latent-space posterior-collapse generative-ai
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Jul 4, 2026 - Jupyter Notebook
PyTorch implementation of Forget-me-not
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Aug 15, 2024 - Python
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