@hugo_larochelle - AI Dynamics

Adaption Launch: Efficient Adaptive AI Systems

By

–

04 February 2026 16h31

Congratulations Sara and team for the formal launch of Adaption!

We need AI systems that are more efficient and adaptive to their deployment context, and that's what Adaption is setting out to do.

Feeling quite proud of seeing a Mila alum taking on this important mission 🚀 https://t.co/AE16AvhFNg
— Hugo Larochelle (@hugo_larochelle) 4 février 2026

Congratulations Sara and team for the formal launch of Adaption! We need AI systems that are more efficient and adaptive to their deployment context, and that's what Adaption is setting out to do. Feeling quite proud of seeing a Mila alum taking on this important mission

→ View original post on X — @hugo_larochelle,

4 February 2026

Google Scholar crediting issues with TMLR publications persist

By

@hugo_larochelle

–

02 January 2026 20h20

Google Scholar has indeed been flaky in crediting TMLR on scholar pages, and we're not fully sure why (sometimes it does it, sometimes it doesn't). We've signaled the problem but haven't had luck getting it fixed sadly 🙁

→ View original post on X — @hugo_larochelle,

2 January 2026

OpenReview Platform Receives Personal Donation Support

By

@hugo_larochelle

–

02 January 2026 18h27

The OpenReview team has also been a remarkable partner, helping us setup a review process that was unusual and new. This is why I recently made a personal donation to its organization, and I encourage others to contribute: https://
openreview.net/donate Any contribution is impactful!

→ View original post on X — @hugo_larochelle,

2 January 2026

TMLR Celebrates Peer Review Community for AI Research

By

@hugo_larochelle

–

02 January 2026 18h27

Finally, a big thank you to our advisory board, our first managing editor @fpedregosa
, the 1000s of reviewers and 100s of action editors for TMLR, who share our belief in scientific peer review for AI research. Witnessing so many people work with us has been truly heartwarming.

→ View original post on X — @hugo_larochelle,

2 January 2026

Major Institutions Support TMLR Research Initiative Funding

By

@hugo_larochelle

–

02 January 2026 18h27

So many other people deserve praise for contributing to making TMLR a reality. Notably, we benefited from the financial support of @GoogleDeepMind
, @Mila_Quebec
, @VectorInst and @CIFAR_News .

→ View original post on X — @hugo_larochelle,

2 January 2026

Beyond PDF submission format launched for research

By

@hugo_larochelle

–

02 January 2026 18h27

Thanks to the great work from our managing editor @PaulVicol, we recently launched the beyond PDF submission format, as a first step towards exploring richer formats for presenting research work:https://t.co/wLWAtnPJGH
— Hugo Larochelle (@hugo_larochelle) 2 janvier 2026

Thanks to the great work from our managing editor @PaulVicol
, we recently launched the beyond PDF submission format, as a first step towards exploring richer formats for presenting research work:

→ View original post on X — @hugo_larochelle,

2 January 2026

Conferences Partner on Journal-to-Conference Track Model

By

@hugo_larochelle

–

02 January 2026 18h27

We partnered with many conferences (AutoML, CoLLAs, RLC, MLRC, LoG) and now also partner with the NeurIPS/ICML/ICLR journal-to-conference track. I personally believe separating publishing from conference presentation is promising for the future of scientific dissemination in AI.

→ View original post on X — @hugo_larochelle,

2 January 2026

TMLR Scales Publishing Innovation in Machine Learning Research

By

@hugo_larochelle

–

02 January 2026 18h27

TMLR went from publishing less than 200 papers in 2022 to over 1300 in 2025. And along the way we've experimented with various innovations, such as certifications, the Expert Reviewer status and the infinite conference: https://
tmlr.infinite-conf.org/index.html

→ View original post on X — @hugo_larochelle,

2 January 2026

Innovative Publishing Approach for AI Research and Evidence

By

@hugo_larochelle

–

02 January 2026 18h27

We've been motivated by an ambition to propose an innovative approach to publishing in AI, highlighting the prime importance of claims and evidence in assessing scientific work. Looking back, we've accomplished a lot!

→ View original post on X — @hugo_larochelle,

2 January 2026

TMLR Leadership Transition Announced New Editorial Team

By

@hugo_larochelle

–

02 January 2026 18h27

A little under 4 years ago, @RaiaHadsell
, @kchonyc and I launched TMLR. I am SO proud of what we've achieved since then, and I'm particularly happy to leave TMLR to a remarkable team of EICs, with @thegautamkamath
, @NailaMurray
, Nihar B. Shah and @lcharlin .

→ View original post on X — @hugo_larochelle,

2 January 2026