Marco Cuturi
@marcocuturi.bsky.social
machine learning researcher @ Apple machine learning research
Reposted by Marco Cuturi
📢 We’re looking for a researcher in in cogsci, neuroscience, linguistics, or related disciplines to work with us at Apple Machine Learning Research! We're hiring for a one-year interdisciplinary AIML Resident to work on understanding reasoning and decision making in LLMs. 🧵
November 7, 2025 at 9:19 PM
📢 We’re looking for a researcher in in cogsci, neuroscience, linguistics, or related disciplines to work with us at Apple Machine Learning Research! We're hiring for a one-year interdisciplinary AIML Resident to work on understanding reasoning and decision making in LLMs. 🧵
We have been working with Michal Klein on pushing a module to train *flow matching* models using JAX. This is shipped as part of our new release of the OTT-JAX toolbox (github.com/ott-jax/ott)
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
November 5, 2025 at 2:04 PM
We have been working with Michal Klein on pushing a module to train *flow matching* models using JAX. This is shipped as part of our new release of the OTT-JAX toolbox (github.com/ott-jax/ott)
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
Reposted by Marco Cuturi
Afternoon talks by:
@marcocuturi.bsky.social
Elena Agliari
Jan Gerken
Thanks all for the great talks, conversations, and engagement! Fingers crossed we get to host this event a 4th time next year and see many of you back in Gothenburg 🤞🇸🇪
@marcocuturi.bsky.social
Elena Agliari
Jan Gerken
Thanks all for the great talks, conversations, and engagement! Fingers crossed we get to host this event a 4th time next year and see many of you back in Gothenburg 🤞🇸🇪
October 29, 2025 at 8:58 PM
Afternoon talks by:
@marcocuturi.bsky.social
Elena Agliari
Jan Gerken
Thanks all for the great talks, conversations, and engagement! Fingers crossed we get to host this event a 4th time next year and see many of you back in Gothenburg 🤞🇸🇪
@marcocuturi.bsky.social
Elena Agliari
Jan Gerken
Thanks all for the great talks, conversations, and engagement! Fingers crossed we get to host this event a 4th time next year and see many of you back in Gothenburg 🤞🇸🇪
Reposted by Marco Cuturi
🚀 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!
💻https://github.com/apple/ml-lineas
📄https://arxiv.org/abs/2503.10679
💻https://github.com/apple/ml-lineas
📄https://arxiv.org/abs/2503.10679
October 21, 2025 at 10:00 AM
🚀 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!
💻https://github.com/apple/ml-lineas
📄https://arxiv.org/abs/2503.10679
💻https://github.com/apple/ml-lineas
📄https://arxiv.org/abs/2503.10679
It's that time of the year! 🎁
The Apple Machine Learning Research (MLR) team in Paris is hiring a few interns, to do cool research for ±6 months 🚀🚀 & work towards publications/OSS.
Check requirements and apply: ➡️ jobs.apple.com/en-us/detail...
More❓→ ✉️ mlr_paris_internships@group.apple.com
The Apple Machine Learning Research (MLR) team in Paris is hiring a few interns, to do cool research for ±6 months 🚀🚀 & work towards publications/OSS.
Check requirements and apply: ➡️ jobs.apple.com/en-us/detail...
More❓→ ✉️ mlr_paris_internships@group.apple.com
October 17, 2025 at 1:07 PM
It's that time of the year! 🎁
The Apple Machine Learning Research (MLR) team in Paris is hiring a few interns, to do cool research for ±6 months 🚀🚀 & work towards publications/OSS.
Check requirements and apply: ➡️ jobs.apple.com/en-us/detail...
More❓→ ✉️ mlr_paris_internships@group.apple.com
The Apple Machine Learning Research (MLR) team in Paris is hiring a few interns, to do cool research for ±6 months 🚀🚀 & work towards publications/OSS.
Check requirements and apply: ➡️ jobs.apple.com/en-us/detail...
More❓→ ✉️ mlr_paris_internships@group.apple.com
While working on semidiscrete flow matching this summer (➡️ arxiv.org/abs/2509.25519), I kept looking for a video illustrating that the velocity field solving the Benamou-Brenier OT problem is NOT constant w.r.t. time ⏳... so I did it myself, take a look! ott-jax.readthedocs.io/tutorials/th...
October 9, 2025 at 8:09 PM
While working on semidiscrete flow matching this summer (➡️ arxiv.org/abs/2509.25519), I kept looking for a video illustrating that the velocity field solving the Benamou-Brenier OT problem is NOT constant w.r.t. time ⏳... so I did it myself, take a look! ott-jax.readthedocs.io/tutorials/th...
Reposted by Marco Cuturi
LLMs are currently this one big parameter block that stores all sort of facts. In our new preprint, we add context-specific memory parameters to the model, and pretrain the model along with a big bank of memories.
📑 arxiv.org/abs/2510.02375
[1/10]🧵
📑 arxiv.org/abs/2510.02375
[1/10]🧵
October 6, 2025 at 4:06 PM
LLMs are currently this one big parameter block that stores all sort of facts. In our new preprint, we add context-specific memory parameters to the model, and pretrain the model along with a big bank of memories.
📑 arxiv.org/abs/2510.02375
[1/10]🧵
📑 arxiv.org/abs/2510.02375
[1/10]🧵
Reposted by Marco Cuturi
Wow! Finally OT done on the entire training set to train a diffusion model!
Our two phenomenal interns, Alireza Mousavi-Hosseini and Stephen Zhang @syz.bsky.social have been cooking some really cool work with Michal Klein and me over the summer.
Relying on optimal transport couplings (to pick noise and data pairs) should, in principle, be helpful to guide flow matching
🧵
Relying on optimal transport couplings (to pick noise and data pairs) should, in principle, be helpful to guide flow matching
🧵
October 4, 2025 at 7:03 AM
Wow! Finally OT done on the entire training set to train a diffusion model!
Our two phenomenal interns, Alireza Mousavi-Hosseini and Stephen Zhang @syz.bsky.social have been cooking some really cool work with Michal Klein and me over the summer.
Relying on optimal transport couplings (to pick noise and data pairs) should, in principle, be helpful to guide flow matching
🧵
Relying on optimal transport couplings (to pick noise and data pairs) should, in principle, be helpful to guide flow matching
🧵
October 3, 2025 at 8:50 PM
Our two phenomenal interns, Alireza Mousavi-Hosseini and Stephen Zhang @syz.bsky.social have been cooking some really cool work with Michal Klein and me over the summer.
Relying on optimal transport couplings (to pick noise and data pairs) should, in principle, be helpful to guide flow matching
🧵
Relying on optimal transport couplings (to pick noise and data pairs) should, in principle, be helpful to guide flow matching
🧵
Reposted by Marco Cuturi
New Apple #ML Research Highlight: The "Super Weight:" How Even a Single Parameter can Determine an #LLM's Behavior machinelearning.apple.com/research/the...
The
A recent paper from Apple researchers,
machinelearning.apple.com
August 21, 2025 at 6:13 PM
New Apple #ML Research Highlight: The "Super Weight:" How Even a Single Parameter can Determine an #LLM's Behavior machinelearning.apple.com/research/the...
scaling up the computation of optimal transport couplings to hundreds of thousands of 3k dimensional vectors made easy using sharding and OTT-JAX! check this notebook, it only takes a few lines of code thanks to JAX's native sharding abilities ott-jax.readthedocs.io/en/latest/tu...
Sharded Sinkhorn — ott 0.5.1.dev34+g3462f28 documentation
ott-jax.readthedocs.io
August 1, 2025 at 12:13 AM
scaling up the computation of optimal transport couplings to hundreds of thousands of 3k dimensional vectors made easy using sharding and OTT-JAX! check this notebook, it only takes a few lines of code thanks to JAX's native sharding abilities ott-jax.readthedocs.io/en/latest/tu...
Reposted by Marco Cuturi
New Apple #ML Research Highlight: "FastVLM: Efficient Vision Encoding for Vision Language Models" machinelearning.apple.com/research/fas...
FastVLM: Efficient Vision Encoding for Vision Language Models
Vision Language Models (VLMs) enable visual understanding alongside textual inputs. They are typically built by passing visual tokens from a…
machinelearning.apple.com
July 23, 2025 at 6:35 PM
New Apple #ML Research Highlight: "FastVLM: Efficient Vision Encoding for Vision Language Models" machinelearning.apple.com/research/fas...
Reposted by Marco Cuturi
So pleased and proud to share with you what our team has been up to, on an ambitious journey to build a video foundation model for scientific domains ! ✨ 🚀 🎞️ 🧪 #ICCV2025 #AI4Science
Thrilled to share our latest work on SciVid, to appear at #ICCV2025! 🎉
SciVid offers cross-domain evaluation of video models in scientific applications, including medical CV, animal behavior, & weather forecasting 🧪🌍📽️🪰🐭🫀🌦️
📝 Check out our paper: arxiv.org/abs/2507.03578
[1/4]🧵
SciVid offers cross-domain evaluation of video models in scientific applications, including medical CV, animal behavior, & weather forecasting 🧪🌍📽️🪰🐭🫀🌦️
📝 Check out our paper: arxiv.org/abs/2507.03578
[1/4]🧵
July 8, 2025 at 11:28 AM
So pleased and proud to share with you what our team has been up to, on an ambitious journey to build a video foundation model for scientific domains ! ✨ 🚀 🎞️ 🧪 #ICCV2025 #AI4Science
Reposted by Marco Cuturi
The NeurIPS paper checklist corroborates the bureaucratic theory of statistics.
Standard error of what now?
The NeurIPS checklist corroborates the bureaucratic theory of statistics.
www.argmin.net
July 3, 2025 at 2:40 PM
The NeurIPS paper checklist corroborates the bureaucratic theory of statistics.
Reposted by Marco Cuturi
Can LLMs access and describe their own internal distributions? With my colleagues at Apple, I invite you to take a leap forward and make LLM uncertainty quantification what it can be.
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9
July 3, 2025 at 9:08 AM
Can LLMs access and describe their own internal distributions? With my colleagues at Apple, I invite you to take a leap forward and make LLM uncertainty quantification what it can be.
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9
Reposted by Marco Cuturi
Reposted by Marco Cuturi
Shunichi Amari has been awarded the 40th (2025) Kyoto Prize in recognition of his pioneering research in the fields of artificial neural networks, machine learning, and information geometry
www.riken.jp/pr/news/2025...
www.riken.jp/pr/news/2025...
甘利 俊一 栄誉研究員が「京都賞」を受賞
甘利 俊一栄誉研究員（本務：帝京大学 先端総合研究機構 特任教授）は、人工ニューラルネットワーク、機械学習、情報幾何学分野での先駆的な研究が評価され、第40回（2025）京都賞（先端技術部門 受賞対象分野：情報科学）を受賞しました。
www.riken.jp
June 20, 2025 at 1:26 PM
Shunichi Amari has been awarded the 40th (2025) Kyoto Prize in recognition of his pioneering research in the fields of artificial neural networks, machine learning, and information geometry
www.riken.jp/pr/news/2025...
www.riken.jp/pr/news/2025...
Reposted by Marco Cuturi
NEW PAPER ALERT: Recent studies have shown that LLMs often lack robustness to distribution shifts in their reasoning. Our paper proposes a new method, AbstRaL, to augment LLMs’ reasoning robustness, by promoting their abstract thinking with granular reinforcement learning.
June 23, 2025 at 2:32 PM
NEW PAPER ALERT: Recent studies have shown that LLMs often lack robustness to distribution shifts in their reasoning. Our paper proposes a new method, AbstRaL, to augment LLMs’ reasoning robustness, by promoting their abstract thinking with granular reinforcement learning.
Reposted by Marco Cuturi
Now that @interspeech.bsky.social registration is open, time for some shameless promo!
Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
⬇️ (1/2)
Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
⬇️ (1/2)
https://www.interspeech2025.org/tutorials
Your cookies are disabled, please enable them.
www.interspeech2025.org
May 27, 2025 at 4:14 PM
Now that @interspeech.bsky.social registration is open, time for some shameless promo!
Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
⬇️ (1/2)
Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
⬇️ (1/2)
Reposted by Marco Cuturi
Today we have released the code and a demo iOS application for FastVLM - our extremely efficient and fast vision language model which runs on your device using MLX! You can check out the code and the app here: github.com/apple/ml-fas...
May 7, 2025 at 10:20 PM
Today we have released the code and a demo iOS application for FastVLM - our extremely efficient and fast vision language model which runs on your device using MLX! You can check out the code and the app here: github.com/apple/ml-fas...
Reposted by Marco Cuturi
#ICLR #TrainBetterLM I am at ICLR, come to our posters for improved language model training!
Recycle gradients for faster neural net training with AdEMAmix iclr.cc/virtual/2025... (Fri Apr 25, 10 am).
1/3
Recycle gradients for faster neural net training with AdEMAmix iclr.cc/virtual/2025... (Fri Apr 25, 10 am).
1/3
April 21, 2025 at 11:55 PM
#ICLR #TrainBetterLM I am at ICLR, come to our posters for improved language model training!
Recycle gradients for faster neural net training with AdEMAmix iclr.cc/virtual/2025... (Fri Apr 25, 10 am).
1/3
Recycle gradients for faster neural net training with AdEMAmix iclr.cc/virtual/2025... (Fri Apr 25, 10 am).
1/3
Reposted by Marco Cuturi
New post: "Apple Machine Learning Research at #ICLR 2025" - highlighting a selection of the many Apple #ML research papers to be presented at @iclr-conf.bsky.social this week: machinelearning.apple.com/research/icl...
Apple Machine Learning Research at ICLR 2025
Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this…
machinelearning.apple.com
April 21, 2025 at 6:20 PM
New post: "Apple Machine Learning Research at #ICLR 2025" - highlighting a selection of the many Apple #ML research papers to be presented at @iclr-conf.bsky.social this week: machinelearning.apple.com/research/icl...
Reposted by Marco Cuturi
Thrilled to share the latest work from our team at
@Apple
where we achieve interpretable and fine-grained control of LLMs and Diffusion models via Activation Transport 🔥
📄 arxiv.org/abs/2410.23054
🛠️ github.com/apple/ml-act
0/9 🧵
@Apple
where we achieve interpretable and fine-grained control of LLMs and Diffusion models via Activation Transport 🔥
📄 arxiv.org/abs/2410.23054
🛠️ github.com/apple/ml-act
0/9 🧵
December 10, 2024 at 1:09 PM
Thrilled to share the latest work from our team at
@Apple
where we achieve interpretable and fine-grained control of LLMs and Diffusion models via Activation Transport 🔥
📄 arxiv.org/abs/2410.23054
🛠️ github.com/apple/ml-act
0/9 🧵
@Apple
where we achieve interpretable and fine-grained control of LLMs and Diffusion models via Activation Transport 🔥
📄 arxiv.org/abs/2410.23054
🛠️ github.com/apple/ml-act
0/9 🧵
Reposted by Marco Cuturi
The trader made millions.
Why was this unusual? For a few reasons:
- Firstly new opening volume on chain, minutes after market open
- IVR of +80 on $QQQ, with iv percentile of medium.
- happened at once, at ask
-otm
- market was bearish, across the board
Unusual.
Come learn: unusualwhales.com
Why was this unusual? For a few reasons:
- Firstly new opening volume on chain, minutes after market open
- IVR of +80 on $QQQ, with iv percentile of medium.
- happened at once, at ask
-otm
- market was bearish, across the board
Unusual.
Come learn: unusualwhales.com
April 10, 2025 at 3:52 AM
The trader made millions.
Why was this unusual? For a few reasons:
- Firstly new opening volume on chain, minutes after market open
- IVR of +80 on $QQQ, with iv percentile of medium.
- happened at once, at ask
-otm
- market was bearish, across the board
Unusual.
Come learn: unusualwhales.com
Why was this unusual? For a few reasons:
- Firstly new opening volume on chain, minutes after market open
- IVR of +80 on $QQQ, with iv percentile of medium.
- happened at once, at ask
-otm
- market was bearish, across the board
Unusual.
Come learn: unusualwhales.com
Reposted by Marco Cuturi
I'm calling for an investigation into whether President Trump manipulated the market to benefit his Wall Street donors—all while working people and small businesses paid the price.
Did Trump help insiders cash in on his tariff flip-flopping? It sure looks like corruption.
Did Trump help insiders cash in on his tariff flip-flopping? It sure looks like corruption.
Did Trump help insiders cash in on his tariff flip-flopping?
YouTube video by Senator Elizabeth Warren
youtu.be
April 9, 2025 at 10:21 PM
I'm calling for an investigation into whether President Trump manipulated the market to benefit his Wall Street donors—all while working people and small businesses paid the price.
Did Trump help insiders cash in on his tariff flip-flopping? It sure looks like corruption.
Did Trump help insiders cash in on his tariff flip-flopping? It sure looks like corruption.