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averyryoo.bsky.social
Grad Student at Mila + UdeM w/ Guillaume Lajoie + Matt Perich multimodal learning, neural decoding, generative modeling stressed Toronto sports fan averyryoo.github.io
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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! 🧠🤖

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.

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🤘

(whipping my around in a crowded party to figure out who just said 'Cocktail Party Effect')

Study computer science to avoid writing essays -> Need to write good grant essays to continue studying computer science

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...

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

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}

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!

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...

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 🚲🤞

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...

I've had the great pleasure of interacting with Jonny when he was still at Mila. Don't pass up this fantastic opportunity!

🌟 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:

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

Arxiv sharing reminder pdf ❌ abs ✅

Towards foundation models for intracortical EEG: arxiv.org/abs/2411.10458

Some resources from a very interesting group - especially liked their blog post on ANN infinite limits

Shoot them a follow! They have an awesome organizing team that regularly hosts great lectures

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

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

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

A work that only gets better with every subsequent viewing 😋 great to finally see this out!

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...

Cool article from one of my PIs @mattperich.bsky.social himself

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 :)