Hacker News
- Kullback–Leibler divergence https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence 74 comments
Linking pages
- AI for the rest of us - by Nathan Lambert - Interconnects https://www.interconnects.ai/p/apple-intelligence 132 comments
- From Autoencoder to Beta-VAE | Lil'Log https://web.archive.org/web/20241202042731/https:/lilianweng.github.io/posts/2018-08-12-vae 67 comments
- Generative Models https://openai.com/blog/generative-models/ 60 comments
- Diffusion Models https://andrewkchan.dev/posts/diffusion.html 31 comments
- Maximum Likelihood Estimation and Loss Functions | Rish's AI Notes https://rish-01.github.io/blog/posts/ml_estimation/ 29 comments
- What are Diffusion Models? | Lil'Log https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ 18 comments
- Variational Autoencoders Explained http://anotherdatum.com/vae.html 16 comments
- Generative Models https://blog.openai.com/generative-models/ 15 comments
- How Tough is that Football Match? | Dean Markwick http://dm13450.github.io/2021/09/26/Fixture-Difficulty.html 12 comments
- What is wrong with VAEs? http://akosiorek.github.io/ml/2018/03/14/what_is_wrong_with_vaes.html 12 comments
- Measuring Goodhart’s Law https://openai.com/blog/measuring-goodharts-law/ 7 comments
- Proximal Policy Optimization https://blog.openai.com/openai-baselines-ppo/ 5 comments
- How to Calculate the KL Divergence for Machine Learning https://machinelearningmastery.com/divergence-between-probability-distributions/ 3 comments
- Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models https://ermongroup.github.io/blog/flow-gan/ 1 comment
- Reasoning under uncertainty with a near-term quantum computer | by Matthias Rosenkranz | Cambridge Quantum | Medium https://medium.com/cambridge-quantum-computing/reasoning-under-uncertainty-with-a-near-term-quantum-computer-99882dc04bb 1 comment
- Deep dive on generating synthetic data for Healthcare | by Alexander Watson | Gretel.ai Engineering and Data Science | Medium https://medium.com/gretel-ai/deep-dive-on-generating-synthetic-data-for-healthcare-41acb4078707 1 comment
- GCC Compiler vs Human - 119x Faster Assembly 💻🆚🧑💻 | Ash's Blog https://ashvardanian.com/posts/gcc-12-vs-avx512fp16/ 1 comment
- Principles of Vasocomputation: A Unification of Buddhist Phenomenology, Active Inference, and Physical Reflex (Part I) – Opentheory.net https://opentheory.net/2023/07/principles-of-vasocomputation-a-unification-of-buddhist-phenomenology-active-inference-and-physical-reflex-part-i/ 1 comment
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- GANs in computer vision - Conditional image synthesis and 3D object generation | AI Summer https://theaisummer.com/gan-computer-vision-object-generation/ 0 comments
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