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✨New Preprint ✨ Ever thought that reconstructing masked pixels for image representation learning seems sub-optimal?
In our new preprint, we show how masking principal components—rather than raw pixel patches— improves Masked Image Modelling (MIM).
Find out more below 🧵
Alice Bizeul retweeted
Anthropic gave me $30,000 in Claude credits to research my own tumor I wrote what I built since March. I’m looking for someone who can manufacture a personalized vaccine, and a hospital that can give it
Alice Bizeul retweeted
Continuous Diffusion LMs went from niche to contender this year, but the recipe is shaky: why self-conditioning? How to embed tokens? 🤨
Our new work takes your one-hot flow from 4% to 50% on TinyGSM without self-conditioning, and explores the design space of CDLMs. 🔥🚀 (1/6)
Alice Bizeul retweeted
Say hi to PUMBA! 🐗
Masked diffusion language models are trained one way and sampled another.
Our new paper studies how to make MDM training more aware of the trajectories followed at inference, and how this can lead to more efficient text generation.
Paper link below 🧵
Alice Bizeul retweeted
🚀 We're hiring a Research Scientist, Machine Learning Research (MLR), Barcelona ☀️
👉 Apply here: jobs.apple.com/en-us/details…
#MachineLearning #MLResearch #AI #Hiring #Apple #Barcelona #ResearchScientist #DeepLearning
Alice Bizeul retweeted
What we're looking for:
• A track record of publishing at top-tier ML conferences and journals
• Hands-on experience across every stage of a research project
If this sounds interesting:
Know someone who'd be a great fit? Tag them or share this post. 🙏
The Apple MLR team in Barcelona is hiring!
I joined 3 months ago and I'm really excited about my job: open science, an experienced team, enough GPUs to keep you busy & research freedom.
Feel free to reach out or apply here: jobs.apple.com/en-us/details…
Alice Bizeul retweeted
We're hiring at Apple MLR in Barcelona 🦎
Work on cutting-edge problems in robustness, interpretability, and next-gen archs. Publish at top venues. Contribute to open-source and push the field forward.
Apply: jobs.apple.com/en-us/details…
Or meet us at our booth at ICML 2026🇰🇷
Alice Bizeul retweeted
🚀 The MLX team is growing!
If you love writing blazing-fast GPU kernels or implementing foundational models in Python & Swift, we want you.
Drop a DM or apply below! 👇 #MachineLearning #AppleSilicon
jobs.apple.com/en-us/details…
github.com/ml-explore
Alice Bizeul retweeted
In a multimodal context, even the discrete/continuous divide is a distraction.
The real challenge is bridging the semantic gap between inherently high-level language tokens, and the very low-level representations we tend to use for perceptual signals.
(I couldn't resist😆)
Alice Bizeul retweeted
🎨Activation steering can reliably push a text-to-image generator toward a visual concept, but at a cost: each concept needs its own estimation.
⚡HyperTransport (HT) predicts the intervention directly, matching per-concept SOTA at 3–4 orders of magnitude less cost.
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Introducing the OpenAI Safety Fellowship, a new program supporting independent research on AI safety and alignment—and the next generation of talent.
openai.com/index/introducing…
Alice Bizeul retweeted
𝗣𝗮𝗿𝗮𝗥𝗡𝗡: 𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗼𝗳 𝗡𝗼𝗻𝗹𝗶𝗻𝗲𝗮𝗿 𝗥𝗡𝗡𝘀 𝗳𝗼𝗿 𝗟𝗟𝗠𝘀
For years, we’ve given RNNs for doomed, and looked at Transformer as 𝘁𝗵𝗲 LLM—but we just needed better math
📄arxiv.org/abs/2510.21450
💻github.com/apple/ml-pararnn
Alice Bizeul retweeted
🚀 Excited to share LinEAS, our new activation steering method accepted at NeurIPS 2025! It approximates optimal transport maps e2e to precisely guide 🧭 activations achieving finer control 🎚️ with ✨ less than 32 ✨ prompts!
💻github.com/apple/ml-lineas
📄arxiv.org/abs/2503.10679
Alice Bizeul retweeted
We’re excited to share our new paper: Continuously-Augmented Discrete Diffusion (CADD) — a simple yet effective way to bridge discrete and continuous diffusion models on discrete data, such as language modeling. [1/n]
Paper: arxiv.org/abs/2510.01329
Alice Bizeul retweeted
🚨 Machine Learning Research Internship opportunity in Apple MLR! We are looking for a PhD research intern with a strong interest in world modeling, planning or learning video representations for planning and/or reasoning. If interested, apply by sending an email to me at [email protected]. Applications will be reviewed until the position is filled.
Alice Bizeul retweeted
Super excited to share l3m 🚀, a library for training large multimodal models, which we used to build AIM and AIMv2. Massive thanks to @alaa_nouby @DonkeyShot21 Michal Klein @MustafaShukor1 @jmsusskind and many others.
Alice Bizeul retweeted
Had a great time speaking at @NECLabsEU about using activation steering for better instruction-following in LLMs!
Check out the talk 🗣️: youtu.be/3ozuaGaEjpo?si=T9ZL…
and paper 📜: arxiv.org/abs/2410.12877
This work that I did at @MSFTResearch shows how interpretability-based approaches can improve LLM controllability, connecting model understanding with practical utility.
We hosted an insightful talk by @alesstolfo, PhD student at @ETH and doctoral fellow at the Swiss CYD Campus, on improving instruction-following in language models via activation steering. Watch here: youtu.be/3ozuaGaEjpo?si=p_Ci…. #NECLabs #LLM
Alice Bizeul retweeted
We hosted an insightful talk by @alesstolfo, PhD student at @ETH and doctoral fellow at the Swiss CYD Campus, on improving instruction-following in language models via activation steering. Watch here: youtu.be/3ozuaGaEjpo?si=p_Ci…. #NECLabs #LLM
Alice Bizeul retweeted
Join us tomorrow morning #ACL2025NLP #ACL2025
If you're at ACL, join us for the tutorial "LLMs for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward" at the BEA workshop (Room 1.85–86) 9:00-12:30am tomorrow (July 31st) @aclmeeting
Alice Bizeul retweeted
I am heading to @icmlconf to present our position paper with @randall_balestr @klindt_david @wielandbr on what we believe are the important next steps to advance SSL.
It's not either theory or practice, it's both. We as a community need a better discussion.



























