Linking pages
- Jukebox https://openai.com/blog/jukebox/ 130 comments
- Diffusion models are autoencoders – Sander Dieleman https://benanne.github.io/2022/01/31/diffusion.html 0 comments
- Musings on typicality – Sander Dieleman https://benanne.github.io/2020/09/01/typicality.html 0 comments
- Musings on typicality – Sander Dieleman https://sander.ai/2020/09/01/typicality.html 0 comments
Linked pages
- MuseNet https://openai.com/blog/musenet/ 179 comments
- MIDI - Wikipedia https://en.wikipedia.org/wiki/MIDI#MIDI_Polyphonic_Expression 100 comments
- GitHub - magenta/ddsp: DDSP: Differentiable Digital Signal Processing https://github.com/magenta/ddsp 31 comments
- Attention is All you Need https://papers.nips.cc/paper/7181-attention-is-all-you-need 30 comments
- Nyquist–Shannon sampling theorem - Wikipedia https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem 22 comments
- Probability density function - Wikipedia http://en.wikipedia.org/wiki/Probability_density_function 13 comments
- Generative Modeling with Sparse Transformers https://openai.com/blog/sparse-transformer/ 9 comments
- Implicit Generation and Generalization Methods for Energy-Based Models https://openai.com/blog/energy-based-models/ 4 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- Guidance: a cheat code for diffusion models – Sander Dieleman https://benanne.github.io/2022/05/26/guidance.html 1 comment
- [1712.05884] Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions https://arxiv.org/abs/1712.05884 1 comment
- http://papers.nips.cc/paper/8023-the-challenge-of-realistic-music-generation-modelling-raw-audio-at-scale.pdf 1 comment
- WaveGlow: a Flow-based Generative Network for Speech Synthesis - NVIDIA ADLR https://nv-adlr.github.io/WaveGlow 1 comment
- GANSynth: Making music with GANs https://magenta.tensorflow.org/gansynth 1 comment
- [1601.06759] Pixel Recurrent Neural Networks https://arxiv.org/abs/1601.06759 1 comment
- [1904.10509] Generating Long Sequences with Sparse Transformers https://arxiv.org/abs/1904.10509 1 comment
- [1701.07875] Wasserstein GAN https://arxiv.org/abs/1701.07875 0 comments
- DDSP: Differentiable Digital Signal Processing https://magenta.tensorflow.org/ddsp 0 comments
- Diffusion models are autoencoders – Sander Dieleman https://benanne.github.io/2022/01/31/diffusion.html 0 comments
- Eric Jang: Normalizing Flows Tutorial, Part 1: Distributions and Determinants http://blog.evjang.com/2018/01/nf1.html 0 comments
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