Are you passionate about machine learning, research, or cutting-edge technology? Join our meet-up designed for researchers, engineers, mathematicians, and computer science students who want to dive deeper into the latest advancements in machine learning.

Each session, we gather to discuss a recent research paper, exploring the core ideas, methodologies, challenges, and tricks the authors used to make their work successful. We’ll look at the paper from multiple angles—what makes it innovative, the hurdles the authors had to overcome, and the unanswered questions or potential research paths it opens up. Whether you’re a researcher in the field or someone from another discipline eager to understand the inner workings of ML, you’re welcome to join. This is a space for intellectual exchange and hands-on engagement with the latest research.

Tree Diffusion: A New Frontier in Code Generation

For our next meet-up, we will dive into the fascinating paper “Tree Diffusion,” which explores using diffusion models on trees representing abstract syntax trees (AST) of code. This innovative research presents a model capable of writing code based on an image—essentially generating the code that would create the image.

We’ll discuss the paper in detail: the methods and techniques used, the challenges in applying diffusion to code, and how this research could be a first step toward AI writing software from specifications alone. Join us as we explore the broader implications for AI in software development and the potential future of code generation.

Whether you’re a researcher, engineer, or just someone passionate about the intersection of machine learning and code, this session is for you.