Show HN: I invented a new generative model and got accepted to ICLR 397 by diyer22 | 46 comments on Hacker News. I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025! Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model): 1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output. 2. It uses these multiple outputs to approximate the target distribution of the training data. 3. These outputs together represent a discrete distribution. This is why we named it "Discrete Distribution Networks". Every generative model has its unique properties, and DDN is no exception. Here, we highlight three characteristics of DDN: - Zero-Shot Conditional Generation (ZSCG). - One-dimensional discrete latent repr...