Hacker News
- Let's Talk about Latents https://sander.ai/2025/04/15/latents.html 0 comments
- Generative Modelling in Latent Space https://sander.ai/2025/04/15/latents.html 0 comments
- [D] A very nice blog post from Sander Dielman on VAEs and other stuff. https://sander.ai/2025/04/15/latents.html 6 comments machinelearning
Linking pages
Linked pages
- Diffusion is spectral autoregression – Sander Dieleman https://sander.ai/2024/09/02/spectral-autoregression.html 62 comments
- Tupper's self-referential formula - Wikipedia http://en.wikipedia.org/wiki/Tupper%27s_self-referential_formula 54 comments
- Attention is All you Need https://papers.nips.cc/paper/7181-attention-is-all-you-need 30 comments
- [2012.09841] Taming Transformers for High-Resolution Image Synthesis https://arxiv.org/abs/2012.09841 23 comments
- Huffman coding - Wikipedia https://en.wikipedia.org/wiki/Huffman_coding 15 comments
- [2210.13438] High Fidelity Neural Audio Compression https://arxiv.org/abs/2210.13438 7 comments
- [2203.09494] Transframer: Arbitrary Frame Prediction with Generative Models https://arxiv.org/abs/2203.09494 6 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- [1711.00937] Neural Discrete Representation Learning https://arxiv.org/abs/1711.00937 4 comments
- [2303.00848] Understanding the Diffusion Objective as a Weighted Integral of ELBOs https://arxiv.org/abs/2303.00848 4 comments
- [2409.02529] Sample what you cant compress https://arxiv.org/abs/2409.02529 4 comments
- [1503.03585] Deep Unsupervised Learning using Nonequilibrium Thermodynamics https://arxiv.org/abs/1503.03585 2 comments
- [2006.11239] Denoising Diffusion Probabilistic Models https://arxiv.org/abs/2006.11239 2 comments
- [2408.08459] JPEG-LM: LLMs as Image Generators with Canonical Codec Representations https://arxiv.org/abs/2408.08459 2 comments
- [2103.06089] Variable-rate discrete representation learning https://arxiv.org/abs/2103.06089 1 comment
- [1601.06759] Pixel Recurrent Neural Networks https://arxiv.org/abs/1601.06759 1 comment
- Imagen 3 - Google DeepMind https://deepmind.google/technologies/imagen-3/ 1 comment
- [2410.04081] $ε$-VAE: Denoising as Visual Decoding https://arxiv.org/abs/2410.04081 1 comment
- [1907.05600] Generative Modeling by Estimating Gradients of the Data Distribution https://arxiv.org/abs/1907.05600 0 comments
- [1611.07004] Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004 0 comments
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