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Avery HW Ryoo

@averyryoo.bsky.social
1.1K followers 301 following 49 posts

i like generative models, science, and Toronto sports teams phd @ mila/udem, prev. @ uwaterloo averyryoo.github.io 🇨🇦🇰🇷

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Reposted by Avery HW Ryoo
Charlotte Volk @charlottevolk.bsky.social · 30/09/2025
🚨 New preprint alert! 🧠🤖 We propose a theory of how learning curriculum affects generalization through neural population dimensionality. Learning curriculum is a determining factor of neural dimensionality - where you start from determines where you end up. 🧠📈 A 🧵: tinyurl.com/yr8tawj3
tinyurl.com
The curriculum effect in visual learning: the role of readout dimensionality
Generalization of visual perceptual learning (VPL) to unseen conditions varies across tasks. Previous work suggests that training curriculum may be integral to generalization, yet a theoretical explan...
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Nanda H Krishna @nandahkrishna.bsky.social · 20/09/2025
Excited to share that POSSM has been accepted to #NeurIPS2025! See you in San Diego 🏖️
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Davide Valeriani, PhD 🧠+👨‍💻 @davidevaleriani.bsky.social · 19/08/2025
I'm very excited to announce the publication of our new book Neural Interfaces, published by Elsevier. The book is a comprehensive resource for all those interested and gravitating around neural interfaces and brain-computer interfaces (BCIs). shop.elsevier.com/books/neural...
shop.elsevier.com
Neural Interfaces
Neural Interfaces is a comprehensive book on the foundations, major breakthroughs, and most promising future developments of neural interfaces. The bo
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Andrei Mircea @mirandrom.bsky.social · 12/07/2025
Step 1: Understand how scaling improves LLMs. Step 2: Directly target underlying mechanism. Step 3: Improve LLMs independent of scale. Profit. In our ACL 2025 paper we look at Step 1 in terms of training dynamics. Project: mirandrom.github.io/zsl Paper: arxiv.org/pdf/2506.05447
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majhas.bsky.social @majhas.bsky.social · 10/06/2025
(1/n)🚨Train a model solving DFT for any geometry with almost no training data Introducing Self-Refining Training for Amortized DFT: a variational method that predicts ground-state solutions across geometries and generates its own training data! 📜 arxiv.org/abs/2506.01225 💻 github.com/majhas/self-...
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Dane Carnegie Malenfant @dvnxmvlhdf5.bsky.social · 05/06/2025
Preprint Alert 🚀 Multi-agent reinforcement learning (MARL) often assumes that agents know when other agents cooperate with them. But for humans, this isn’t always the case. For example, plains indigenous groups used to leave resources for others to use at effigies called Manitokan. 1/8
Manitokan are images set up where one can bring a gift or receive a gift. 1930s Rocky Boy Reservation, Montana, Montana State University photograph. Colourized with AI
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Avery HW Ryoo @averyryoo.bsky.social · 06/06/2025
New preprint! 🧠🤖 How do we build neural decoders that are: ⚡️ fast enough for real-time use 🎯 accurate across diverse tasks 🌍 generalizable to new sessions, subjects, and even species? We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes! 🧵1/7
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Bahareh Tolooshams @btolooshams.bsky.social · 29/05/2025
I am joining @ualberta.bsky.social as a faculty member and @amiithinks.bsky.social! My research group is recruiting MSc and PhD students at the University of Alberta in Canada. Research topics include generative modeling, representation learning, interpretability, inverse problems, and neuroAI.
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Mehdi Azabou @mehdiazabou.bsky.social · 25/04/2025
Scaling models across multiple animals was a major step toward building neuro-foundation models; the next frontier is enabling multi-task decoding to expand the scope of training data we can leverage. Excited to share our #ICLR2025 Spotlight paper introducing POYO+ 🧠 poyo-plus.github.io 🧵
poyo-plus.github.io
POYO+
POYO+: Multi-session, multi-task neural decoding from distinct cell-types and brain regions
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Blake Richards @tyrellturing.bsky.social · 11/04/2025
Interested in foundation models for #neuroscience? Want to contribute to the development of the next-generation of multi-modal models? Come join us at IVADO in Montreal! We're hiring a full-time machine learning specialist for this work. Please share widely! #NeuroAI 🧠📈 🧪
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Satpreet (Sat) Singh @satpreetsingh.bsky.social · 07/04/2025
📽️Recordings from our @cosynemeeting.bsky.social #COSYNE2025 workshop on “Agent-Based Models in Neuroscience: Complex Planning, Embodiment, and Beyond" are now online: neuro-agent-models.github.io 🧠🤖
neuro-agent-models.github.io
🤖 Agent-Based Models in Neuroscience
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Nanda H Krishna @nandahkrishna.bsky.social · 05/04/2025
Talk recordings from our COSYNE Workshop on Neuro-foundation Models 🌐🧠 are now up on the workshop website! neurofm-workshop.github.io
neurofm-workshop.github.io
COSYNE 2025 Workshop - Building a foundation model for the brain
Join us to explore neuro-foundation models. March 31-April 1, 2025 in Mont Tremblant, Canada.
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Avery HW Ryoo @averyryoo.bsky.social · 04/04/2025
Very late, but had a 🔥 time at my first Cosyne presenting my work with @nandahkrishna.bsky.social, Ximeng Mao, @mattperich.bsky.social, and @glajoie.bsky.social on real-time neural decoding with hybrid SSMs. Keep an eye out for a preprint (hopefully) soon 👀 #Cosyne2025 @cosynemeeting.bsky.social
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Charlotte Volk @charlottevolk.bsky.social · 27/03/2025
Excited to be at #Cosyne2025 for the first time! I'll be presenting my poster [2-104] during the Friday session. E-poster here: www.world-wide.org/cosyne-25/se...
world-wide.org
How sequential curricula enhance visual learning generalization: The role of subspace dimensionality
COSYNE 2025 e-Poster by Charlotte Volk, Christopher C. Pack, Shahab Bakhtiari
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Shahab Bakhtiari @shahabbakht.bsky.social · 27/03/2025
We'll be presenting two projects at #Cosyne2025, representing two main research directions in our lab: 🧠🤖 🧠📈 1/3
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Avery HW Ryoo @averyryoo.bsky.social · 24/03/2025
Just a couple days until Cosyne - stop by [3-083] this Saturday and say hi! @nandahkrishna.bsky.social
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Blake Richards @tyrellturing.bsky.social · 23/03/2025
This will be a more difficult Cosyne than normal, due to both the travel restrictions for people coming from the US and the strike that may be happening at the hotel in Montreal. But, we can still make this an awesome meeting as usual, y'all. Let's pull together and make it happen! 🧠📈 #Cosyne2025
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Mehdi Azabou @mehdiazabou.bsky.social · 10/03/2025
Join us at #COSYNE2025 to explore recent advancements in large-scale training and analysis of brain data! 🧠🟦 We also made a starter pack with (most of) our speakers: go.bsky.app/Ss6RaEF
go.bsky.app
Neuro-foundation models Workshop - COSYNE 2025
Join the conversation
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Avery HW Ryoo @averyryoo.bsky.social · 10/03/2025
How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at @cosynemeeting.bsky.social #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 – April 1!
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Avery HW Ryoo @averyryoo.bsky.social · 31/01/2025
Hi! Looking for an undergrad volunteer who's interested in working with SSMs + transformers for neural decoding/BCIs at Mila! Strong coding + Pytorch skills are a must. Please DM/email me your CV + interests (priority given to those based in Montréal). Thanks! 🧠🤖
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Avery HW Ryoo @averyryoo.bsky.social · 28/12/2024
Really excited to read this paper - composing multiple diffusion models/EBMs is something I've been really interested in lately. I think there's potential in this direction for improving the controllability/interpretability of your generation process + mixing and matching pre-trained modules.
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Avery HW Ryoo @averyryoo.bsky.social · 25/12/2024
Some exciting news in time for the holidays 🎄🎁☃️ I'll be at Cosyne 2025 (@cosynemeeting.bsky.social) to present our work on generalizable real-time decoding for BCIs 🧠🦾 Really looking forward to seeing everyone in Montréal 🇨🇦! Stay tuned for more details in the new year🤘
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Tomer Ullman @tomerullman.bsky.social · 20/12/2024
(whipping my around in a crowded party to figure out who just said 'Cocktail Party Effect')
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Dane Carnegie Malenfant @dvnxmvlhdf5.bsky.social · 17/12/2024
Study computer science to avoid writing essays -> Need to write good grant essays to continue studying computer science
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Arnaud Doucet @arnauddoucet.bsky.social · 15/12/2024
The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here drive.google.com/file/d/1eLa3...
drive.google.com
BreimanLectureNeurIPS2024_Doucet.pdf
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Avery HW Ryoo @averyryoo.bsky.social · 12/12/2024
sinthlab EoY social! I'm grateful everyday that I get to work with such a kind and intelligent group of individuals. @mattperich.bsky.social @oliviercodol.bsky.social @anirudhgj.bsky.social
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Kirill Neklyudov @k-neklyudov.bsky.social · 10/12/2024
We're presenting our spotlight paper on transition path sampling at #NeurIPS2024 this week! Learn how to speed up the conventional Monte Carlo approaches by orders of magnitude Wed 11 Dec 4:30 pm #2606 arxiv.org/abs/2410.07974 first authors = {Yuanqi Du, Michael Plainer, @brekelmaniac.bsky.social}
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Benno Krojer @bennokrojer.bsky.social · 10/12/2024
Come by tomorrow (Wed) 11am-2pm at @neuripsconf.bsky.social Poster #1606 to chat more about AURORA 🌌, text-guided editing, and why it is arguably more interesting than image generation Or anything related to world models, evals/analysis/interp, vision+language reasoning, cogsci, academic life!
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Avery HW Ryoo @averyryoo.bsky.social · 10/12/2024
Thrilled to share a new preprint exploring the spatial organization of multisensory convergence in the mouse isocortex! 🧠🎉 Even more special as it builds on work I started during my undergrad, a lifetime ago 👨‍🦳 Check it out here: www.biorxiv.org/content/10.1...
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Avery HW Ryoo @averyryoo.bsky.social · 10/12/2024
100% agree w/ Blake here – the biking infrastructure (esp. the amazing Bixi program) might arguably be my fave thing about MTL. But, despite there being a lot of work left to do, I was incredibly heartened to see a big increase of public bike stations the last time I went back home to Toronto 🚲🤞
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Yoon @jyoonlee.bsky.social · 07/12/2024
We’re excited to present ET-Flow at #NeurIPS 2024—an Equivariant Flow Matching model that combines simplicity, efficiency, and precision to set a new standard for 3D molecular conformer generation. 🔖Paper: arxiv.org/abs/2410.22388 🔗Github: github.com/shenoynikhil...
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Avery HW Ryoo @averyryoo.bsky.social · 29/11/2024
I've had the great pleasure of interacting with Jonny when he was still at Mila. Don't pass up this fantastic opportunity!
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Xiaoxuan @xiaoxuanlei.bsky.social · 28/11/2024
🌟 New Research Alert! 🌟 Excited to share our latest work (accepted to NeurIPS2024) on understanding working memory in multi-task RNN models using naturalistic stimuli!: with @takuito.bsky.social and @bashivan.bsky.social #tweeprint below:
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Mathurin Massias @mathurinmassias.bsky.social · 27/11/2024
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
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Sai Prasanna @saiprasanna.in · 26/11/2024
Arxiv sharing reminder pdf ❌ abs ✅
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Jascha Achterberg @achterbrain.bsky.social · 08/11/2024
What if you are a student interested in NeuroAI and are looking for resources to learn more? We provide a list of resources with the paper! If you know other great resources, please open a pull request or DM me! We hope this to become a ‘living document’! github.com/8erberg/Neur...
github.com
GitHub - 8erberg/NeuroAI_Trainee_Resources
Contribute to 8erberg/NeuroAI_Trainee_Resources development by creating an account on GitHub.
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Konrad Kording @kordinglab.bsky.social · 21/11/2024
Towards foundation models for intracortical EEG: arxiv.org/abs/2411.10458
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Avery HW Ryoo @averyryoo.bsky.social · 22/11/2024
Some resources from a very interesting group - especially liked their blog post on ANN infinite limits
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Avery HW Ryoo @averyryoo.bsky.social · 21/11/2024
Shoot them a follow! They have an awesome organizing team that regularly hosts great lectures
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Joseph Viviano @josephdviviano.bsky.social · 20/11/2024
I'm making an unofficial starter pack with some of my colleagues at Mila. WIP for now but here's the link! go.bsky.app/BHKxoss
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Antonino Greco @agreco.bsky.social · 17/10/2024
For the Blueskyers interested in #NeuroAI 🧠🤖, I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂 go.bsky.app/CscFTAr
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Avery HW Ryoo @averyryoo.bsky.social · 14/11/2024
CCN 2024 was undoubtedly my favourite out of all of the (admittedly few) conferences I've attended. While meaningful in their own ways, I found there were certain scientific and social aspects of CCN that I wouldn't be able to experience in a larger, more chaotic ML conference. #NeuroAI #CompNeuro
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Avery HW Ryoo @averyryoo.bsky.social · 10/10/2024
A work that only gets better with every subsequent viewing 😋 great to finally see this out!
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Olivier Codol @oliviercodol.bsky.social · 07/10/2024
Here’s our latest work at @glajoie.bsky.social and @mattperich.bsky.social ‘s labs! Excited to see this out. We used a combination of neural recordings & modelling to show that RL yields neural dynamics closer to biology, with useful continual learning properties. www.biorxiv.org/content/10.1...
biorxiv.org
Brain-like neural dynamics for behavioral control develop through reinforcement learning
During development, neural circuits are shaped continuously as we learn to control our bodies. The ultimate goal of this process is to produce neural dynamics that enable the rich repertoire of behavi...
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Avery HW Ryoo @averyryoo.bsky.social · 07/10/2024
Cool article from one of my PIs @mattperich.bsky.social himself
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Avery HW Ryoo @averyryoo.bsky.social · 10/07/2024
My first paper! Will be presenting this work as a poster at the HiLD workshop at ICML and CCN - please reach out if you want to chat :)
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Mehdi Azabou @mehdiazabou.bsky.social · 26/10/2023
Is a universal brain decoder possible? Can we train a decoding system that easily transfers to new individuals/tasks? Check out our #NeurIPS2023 paper where we show that it’s possible to transfer from a large pretrained model to achieve SOTA! 🧠🟦 Link: poyo-brain.github.io 🧵
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