The Hi! PARIS Student Conference on AI invites students from IP Paris, HEC Paris and the broader Hi! PARIS ecosystem to submit their AI projects to share them and present them to the community.

This conference is for students and by students, with the support of Hi! PARIS, the joint center on AI between Institut Polytechnique de Paris and HEC Paris. Every year, students of our ecosystem produce remarkable work in AI, some in internships, in labs, as extensions of courses, or simply at home out of curiosity. Those rarely find a common space to be presented, discussed, and kept alive. This conference aims to be that space !

It is run like a real machine-learning conference: a call for submissions, anonymous peer review on public criteria, decisions, a final-version phase, posters and oral presentations, and online publication. The submission rules are inspired by from the top ML conferences NeurIPS / ICML / ICLR; the submission format is that of the ICLR Blogposts track, that we find particularly easy to share: a single Markdown blog post, submitted through a GitHub Pull Request and published on this website.

Spirit

The conference has two goals, and both matter equally:

1. Publish and showcase your work, as students. Each accepted project gets a polished public page with a stable URL — something you can put on a CV — plus a presentation slot at the conference.
2. Helping you learn how scientific publishing works. You will experience the submission process, participate in peer review, revision and publication first-hand; every author also serves as a reviewer.

The conference is pedagogical and inclusive. In particular, review is designed to improve submissions, not to filter them out: we expect to accept the large majority of serious submissions, and reviewers are explicitly asked to be constructive. Selectivity applies to the program (which projects get orals), not to participation.

Key dates

There will be a single round of review: submission → reviews → decision → final version.

Who can submit

Students of IP Paris, HEC Paris and Hi! PARIS affiliated programs. Projects may be authored solo or in groups, developed independently, within a research lab, or with a company (with permission to publish).

How many submissions? Each author has a total budget of 100% of a contribution: you may submit 1 project alone, up to 2 projects as a pair, up to 3 projects as a trio.

What can be submitted

The first edition focuses on AI research broadly understood: machine learning, statistics, optimization, and their applications. Eligible projects include:

• personal AI research projects and independent explorations (even if developed during your free time);
• internship or lab projects, if publication is authorized by the host organization;
• AI for Science, robotics, interpretability, and generative AI projects;
• major open-source software contributions (a substantial contribution, not packaging).

A project that started in a course can be submitted if it has been substantially extended beyond the course requirements — it should no longer be primarily a graded class project.

If you’re not sure whether you can submit: submit — as long as you’re OK with the reviewing rules.

What cannot be submitted

• projects submitted solely for the validation of a course, mandatory assignments, or graded homework as-is;
• confidential material: company code, proprietary data, anything under NDA, or any internship output without explicit written authorization;
• projects without a public repository or without enough documentation to be understood and, where relevant, reproduced.

Transparency: the context of your project

We deliberately accept projects from many contexts — internship, lab, course follow-up, personal initiative. In exchange, we ask for full transparency: the submission form includes a required “context of creation” field where you explain where and how the project was carried out, and with whom. This context is part of what reviewers read and value — a great project done alone in your room and a great internship project are both welcome, and are read for what they are.

Format in brief

A submission is a blog post (one Markdown page rendered on this website), written in English, backed by a public GitHub repository containing the code, documentation, license, and reproduction instructions. The recommended length is 2,500–3,500 words (hard limit: 6,000), plus an optional appendix of unlimited length. The official submission is the web page — not a PDF.

See the submission guidelines for the step-by-step instructions, and the sample post to start from.

Review and decisions

• Review is double blind: submissions are anonymized until decisions.
• Each submission receives at least two reviews, following public criteria: quality, clarity, correctness, and whether the project’s context and approach are made explicit.
• Every submitting author reviews two submissions — learning to review is part of the conference. See the reviewer guidelines.
• Decisions are accept or reject, taken by the area chairs together with the senior academic committee — see the committee page for who decides what and how conflicts are handled. Among accepted submissions, the committee selects posters and orals for the conference program.

Awards

Prizes will be awarded in several categories, decided by the scientific committee of faculty members on the basis of the reviews and decisions. Details will be announced before the conference.

Organization

This conference is for students and by students. Hi! PARIS, the joint center of Institut Polytechnique de Paris and HEC Paris dedicated to AI and data science, supports and synchronizes the conference.

For any question: contact the Program Chairs (contact to be announced).