tbonnair / Why-Diffusion-Models-Don-t-MemorizeLinks
This repository contains code for the paper "Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training" by T. Bonnaire, R. Urfin, G. Biroli and M. Mézard.
☆50Updated last month
Alternatives and similar repositories for Why-Diffusion-Models-Don-t-Memorize
Users that are interested in Why-Diffusion-Models-Don-t-Memorize are comparing it to the libraries listed below
Sorting:
- The collection of awesome papers on alignment of diffusion models.☆386Updated 2 months ago
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆74Updated 2 months ago
- LLM Reasoning Benchmark & Chain-of-Thoughts Dataset for Chemistry☆40Updated 3 months ago
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR…☆76Updated 7 months ago
- ☆304Updated 3 weeks ago
- Implementation of Autoregressive Diffusion in Pytorch☆431Updated last month
- ☆36Updated 8 months ago
- 📖 This is a repository for organizing papers, codes, and other resources related to unified multimodal models.☆339Updated 2 months ago
- Pytorch implementation for MeanFlow☆286Updated 5 months ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆204Updated 6 months ago
- [NeurIPS2024] Official Codes of the Paper "Gradient Guidance for Diffusion Models: An Optimization Perspective"☆24Updated 9 months ago
- Code for ICML 2025 Paper "Highly Compressed Tokenizer Can Generate Without Training"☆195Updated 7 months ago
- Code for MetaMorph Multimodal Understanding and Generation via Instruction Tuning☆231Updated 8 months ago
- A Collection of Papers on Diffusion Language Models☆149Updated 3 months ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆66Updated last year
- A paper list of Awesome Latent Space.☆276Updated last week
- High-performance Image Tokenizers for VAR and AR☆303Updated 8 months ago
- TraceRL & TraDo-8B: Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models☆380Updated 3 weeks ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆96Updated last year
- The official GitHub repo for the survey paper "A Survey on Diffusion Language Models".☆628Updated 2 weeks ago
- ☆249Updated last year
- [CVPR 2025] 🔥 Official impl. of "TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation".☆419Updated 5 months ago
- [NeurIPS 2025] Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".☆94Updated 2 months ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆151Updated 10 months ago
- A curated list for awesome discrete diffusion models resources.☆524Updated 4 months ago
- [WIP🚧] 2025 up-to-date list of resources on visual tokenizers (primarily for visual generation). Give it a star 🌟 if you find it useful…☆20Updated last year
- ☆92Updated 5 months ago
- Official implementation of Learning to Discretize Denoising Diffusion ODEs☆31Updated 7 months ago
- Paper List of Inference/Test Time Scaling/Computing☆338Updated 4 months ago
- Official Implementation of LaViDa: :A Large Diffusion Language Model for Multimodal Understanding☆187Updated 3 weeks ago