Stefan Bauer

deep learning & causality

[Stefan Bauer @stefanAbauer]

Evaluations are the secret sauce of frontier labs and Anates is launching its first project in a collaboration with Deepmind. If you work on video models and or embodied intelligence check out their work! Congrats Tim and Carsten!

[Anates @Anates_Labs]

𝐂𝐚𝐧 𝐚 𝐯𝐢𝐝𝐞𝐨 𝐦𝐨𝐝𝐞𝐥 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐫𝐞𝐚𝐬𝐨𝐧 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐩𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐰𝐨𝐫𝐥𝐝, 𝐨𝐫 𝐢𝐬 𝐢𝐭 𝐣𝐮𝐬𝐭 𝐩𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐩𝐥𝐚𝐮𝐬𝐢𝐛𝐥𝐞-𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐦𝐨𝐭𝐢𝐨𝐧?

Today, we are excited to introduce 𝐏𝐡𝐲𝐬𝐢𝐜𝐬-𝐈𝐐 𝐕𝐞𝐫𝐢𝐟𝐢𝐞𝐝
(1/n)

[Anates @Anates_Labs]

𝐂𝐚𝐧 𝐚 𝐯𝐢𝐝𝐞𝐨 𝐦𝐨𝐝𝐞𝐥 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐫𝐞𝐚𝐬𝐨𝐧 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐩𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐰𝐨𝐫𝐥𝐝, 𝐨𝐫 𝐢𝐬 𝐢𝐭 𝐣𝐮𝐬𝐭 𝐩𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐩𝐥𝐚𝐮𝐬𝐢𝐛𝐥𝐞-𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐦𝐨𝐭𝐢𝐨𝐧?

Today, we are excited to introduce 𝐏𝐡𝐲𝐬𝐢𝐜𝐬-𝐈𝐐 𝐕𝐞𝐫𝐢𝐟𝐢𝐞𝐝
(1/n)

[Kyunghyun Cho @kchonyc]

AI started in canada with CIFAR, and AI continues here in canada with @CIFAR_News

[Stefan Bauer @stefanAbauer]

@dtrbchlr Congratulations!

[Edoardo Ponti @PontiEdoardo]

I am moving to @ICComputing at @imperialcollege as an associate professor, where I will be expanding my lab!

I am looking for PhDs and postdocs to join me on my quest to build foundation models with adaptive tokenisation and memory (AToM FMs, funded by @ERC_Research)

[Simon Olsson @smnlssn]

We are looking forward to welcome @brianltrippe for this months Chalmers AI4Science seminar tomorrow. Check https://t.co/2TbVpiAixo for details on how to connect!

[p(doom) @prob_doom]

You really think we're going to scale data labelers to AGI?

Today, we release the largest public long-horizon dataset of human digital work.

600h of long-horizon AGI research across 3 months. 🧵(1/n)

[Lior Pachter @lpachter]

The focus on UMAPs as the output of scRNAseq has debased a whole field.

This fig from https://t.co/IV62ulylhF is ridiculous.. showing a faster GPU accelerated workflow.. that produces a completely different UMAP. But since nobody cares what's on the UMAP anyway.. who cares?

[Moshe Vardi @vardi]

ACM has posted an "Expression of Concern" on Igor Markov's article. This stinks to heaven. Apparently, Google did not like the paper. Google is a major donor to ACM. There are also rumors of a legal action by Google against ACM.
https://t.co/txWSoOCpZv

[Andrew Saxe @SaxeLab]

Excited to launch Principia, a nonprofit research organisation at the intersection of deep learning theory and AI safety.

Our goal is to develop theory for modern machine learning that can help us understand network behaviors, including those critical for AI safety.

1

[Franz Srambical (in MONTREAL) @lemergenz]

everyone talking about macrohard

seems like a good time to remind people that we openly released the biggest long-horizon behaviour-cloning dataset of screencasts (of AGI research)

350+ hours and counting!
https://t.co/9e8THEEWy6

[Stefan Bauer @stefanAbauer]

Training on code is one path to AGI. Yet, training on github repos only implies training on end results rather than training on the way to get there. Crowd-code is an effort to solve that! Install once and contribute to open source efforts for AGI.

[Mihir Mahajan @maharajamihir]

Today we release crowd-code 2.0, our second phase of crowd-sourcing the largest long-horizon open software engineering dataset.

Install once. Forget about it.

[Ferdinand Kapl @KaplFer]

SOTA LLMs are trained as large monolithic models. But looping or depth growth can beat that. How?

Co-led with @AngelisManos and @TobiasHppe1.

Incredible collaboration with Paradigms of Intelligence Team @Google 🙌
@kaitlinmaile
@oswaldjoh
@ninoscherrer
and @stefanAbauer. 🧵🔽

[Vincent Pauline @vincentpaulinef]

🚨 Looking for a fully self-contained intro to diffusion models that covers both continuous (images) and discrete (text, sequences) data?

🆕 We just released:
“Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction”

arxiv : https://t.co/O6ONhV04dM

S/o to @andrea_dittadi for his amazing support & guidance, and huge thanks to @TobiasHppe1, @k_neklyudov, @AlexanderTong7 and @stefanAbauer for their supervision! 🙌

One roadmap for all of diffusion. 🏎️💨

After a few failed posts, broken previews, and getting briefly flagged by X… the full thread's finally out 🤯🧵👇

[Yashas Annadani @yashasannadani]

Excited to present our work on multi-objective scientific discovery at #NeurIPS2025! 🎉

We present Preference-Guided Diffusion, a novel method to sample diverse designs from a diffusion model that corresponds to the Pareto Front of black-box objectives.

Most (if not all) problems in scientific discovery, from drug design to material design, are multi-objective. Balancing factors like toxicity and activity or stability and synthesizability requires finding the optimal Pareto Front of trade-offs. Preference-Guided diffusion uses preference pairs from just an offline dataset to sample optimal designs from a diffusion model.

W/ amazing co-authors @syrineblk, @StefanoErmon, @stefanAbauer, and @BeEngelhardt.

Find out more:

🗓️ Poster #915 | Wednesday | 4:30 PM PST

Pdf: https://t.co/EY1YBoc9hg
Project: https://t.co/qQg3BaJ5xg

[Stefan Bauer @stefanAbauer]

Discrete diffusion is all the hype and you want to get started? Have a look at this discrete diffusion codebase. Focused on letting you try out new ideas quickly with baselines already available. Feedback welcome!

[Kalyan @nkalyanv99]

We’re releasing UNI-D², a unified codebase for discrete diffusion language models 🤝🚀

Co-led with @vincentpaulinef and an amazing advisor team: @stefanAbauer, @AlexanderTong7 , @andrea_dittadi, @AMK6610, @KaplFer 🙌

🔗 GitHub: https://t.co/JJA7EVGVed
📚 Docs: https://t.co/GRJnEOULf6

Reproduce and extend state-of-the-art baselines with one toolkit. Let’s move beyond autoregressive models and push discrete diffusion together 🧵👇

[Mihir Mahajan @maharajamihir]

We release a paper on Jasmine, our production-ready JAX-based codebase for world modeling from unlabeled videos!

[Willie Neiswanger @willieneis]

It was great to see @thinkymachines LoRA w/o Regret blog, which connects nicely to our work on Tina (LoRA for RL).

For wider use, we’re releasing a clean implementation of RL with LoRA, DoRA, QLoRA/QDoRA, plus speedups & more, across models from 1.5B–32B.

Nice work @UpupWang!

[Franz Srambical (in MONTREAL) @lemergenz]

My @Cohere_Labs talk is online.

We outline research directions that embrace the bitter lesson, and state roadblocks on the path to AGI that need to be addressed even in a regime of absolute energy- and compute-abundance.

https://t.co/GraD3bt6rK

[CIFAR @CIFAR_News]

📣 Applications are open for the CIFAR Global Scholars program!

This program offers junior faculty the opportunity to pursue interdisciplinary research, expand their networks and gain valuable leadership training.

🔗 https://t.co/FJ8AzrRa9e