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ninamiolane.bsky.social
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel http://gi.ece.ucsb.edu, Pilot
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How does AI memorize information? How does ChatGPT remember your name? How do RNNs keep track of simple numbers? Our new paper led by Bariscan Kurtkaya & Fatih Dinc explores the geometry of short-term memory in neural networks—revealing limits in how information is stored!🧵 arxiv.org/abs/2502.17433

Join us Mon 3/10 for a roundtable discussion addressing best practices and emerging opportunities in human brain imaging and how they can advance the study of women’s brain health.

🤖 New Talk: Geometric Intelligence in Minds & Machines 🧠 Available on Youtube: www.youtube.com/watch?v=1RtH... @louisacornelis.bsky.social & I opened the 2025 @neurreps.bsky.social Global Speaker Series ! Thanks @mathildepapillon.bsky.social Chase VDG @btolooshams.bsky.social for hosting!

I am excited to host the next edition of the NeurReps Global Seminar Series, from @neurreps.bsky.social! @ninamiolane.bsky.social and @louisacornelis.bsky.social will be speaking on 🧠Geometric Intelligence in Minds and Machines🤖 📅Friday, Feb 21st, 11am PST Join us at UCSB (Elings,1605) or on Zoom!

📢 NeurReps Speaker Series seminar is back! @ucsb.bsky.social is hosting us for a talk by @ninamiolane.bsky.social and @louisacornelis.bsky.social on Geometric Intelligence in Minds and Machines! 🧠 🗓️This Friday, February 21st, 11 AM PT Join in person at UCSB (Elings, 1605) or on Zoom!

Join us remotely or in person to hear from @ninamiolane.bsky.social and @louisacornelis.bsky.social on Geometric Intelligence in Minds and Mahcines. Thanks, @mathildepapillon.bsky.social, for hosting!

Glad you're enjoying it!

We are thrilled to pursue a second partnership between CZI + WBHI 💪🏽👇🏼 🧠 Let’s do good things. @cziscience.bsky.social @chanzuckerberg.bsky.social

Incredibly grateful to @cziscience.bsky.social for this second award supporting our work in AI for women’s brain health @bowers-wbhi.bsky.social !🌟 The WBHI advances healthcare for all by developing inclusive AI on multi-modal biomedical datasets that include phenotypes relevant to women's health.

Hello, world. We’ve made our way to the bright side. 🦋 Let’s be friends?

Advancing Inclusive AI in Women’s Brain Health 🧠✨ We are thrilled to announce a $1.5M award from the Chan Zuckerberg Initiative to support the Women’s Brain Health Initiative in advancing inclusive AI through multi-modal biomedical datasets.

I hope you will all join me in expressing your thanks to the NIH and NSF staff who are working in an impossibly difficult and chaotic environment to keep science going in our country.

Thrilled to see our #WiDSDatathon 2025 challenge live! 🎉 Goal: Predict ADHD via fMRI while addressing sex differences. 🧠✨ Open to all levels on Kaggle: let's dive in! lnkd.in/gXRJrp-S @kaggle.com @cornelluniversity.bsky.social @ucsantabarbara.bsky.social

No se me ocurre mejor manera de estrenar el 2025. Deseando trabajar con este equipazo y aprender de él. @emilyjacobs.bsky.social @ninamiolane.bsky.social @magdamartinezga.bsky.social @neuromaternal.bsky.social @dmartindeblas.bsky.social Gracias @chanzuckerberg.bsky.social

The Global Maternal Brain Project has launched! Bowers WBHI has teamed up with @cziscience.bsky.social to drive discovery for women’s health.

What a start to 2025!🎉 Our lab is honored to receive $1M from @cziscience.bsky.social @chanzuckerberg.bsky.social to study how motherhood shapes the brain, focusing on maternal mental health. @ninamiolane.bsky.social @susanacarmona.bsky.social @emilyjacobs.bsky.social @magdamartinezga.bsky.social

Let's leverage AI to advance womens' brain health! Congratulations @geometric-intel.bsky.social @ninamiolane.bsky.social @susanacarmona.bsky.social @magdamartinezga.bsky.social @emilyjacobs.bsky.social @cziscience.bsky.social @chanzuckerberg.bsky.social for this incredibly impactful project!

Happy New Year🎉 Thrilled to start 2025 with $1M from @cziscience.bsky.social @chanzuckerberg.bsky.social to study the maternal brain using AI! Grateful for the chance to advance science for mothers worldwide 🧠 @emilyjacobs.bsky.social @susanacarmona.bsky.social @magdamartinezga.bsky.social

Hey 2025 👇🏼

Welcome back! 🥳 Starting off after lunch is Marco Cuturi, talking about "On Using Optimal Transport Distances to Regularize Representation Learning". 🔵🔴

We welcome our next Keynote speaker, Ilker Yildirim, who is discussing "Reverse-engineering cognitive and neural representations with multilevel computational theories"! Find us at the West Ballroom C!

Next in line here at UniReps workshop is "A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field", presented by @nacloss.bsky.social from MIT 🔵🔴

I'm excited to speak at #NeurIPS2024 NeuroAI workshop tomorrow about neural-behavioral dynamical modeling & AI-based neurotechnology! West Ballroom B, Sat Dec 14 ⬇️

Up next is Jacob S. Prince, presenting "Representation with a capital 'R': measuring functional alignment with causal perturbation" 🎉

Next up: Best Extended Abstract Award Oral Presentation! 🎉 @emcheng.bsky.social presents “Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models”. 🧠✨

👏 The last presenter before the discussion session is Konstantin Hemker with his contribution titled "Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities"

We are now starting the panel discussion with Matthew Leavitt, Erin Grant and Alex Williams, moderated by @clementinedomine.bsky.social 😍 What an amazing panel to share perspectives of unifying representations 🔵🔴

Join us for our next Keynote invited talk from Stefanie Jegelka on "In-context Symmetries via Contextual World Models"!

Excellent talk by @johannbrehmer.bsky.social On “Does equivariance matter at scale?” At NeurReps workshop arxiv.org/abs/2410.23179 www.neurreps.org

We have now Dr. @eringrant.bsky.social presenting ‘’Learning dynamics describe the computational role of (universal) representations’’

We are now continuing with the talk by Prof. Sue Yeon Chung on “Computing with Neural Manifolds: Multi-level theory of neural representations in biological and artificial neural networks”

Our first contributed talk is from @ccrommel.bsky.social on "ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation".

For our last invited talk this morning, we are thrilled to hear @phillipisola.bsky.social from MIT present ‘The Platonic Representation Hypothesis’ at the UniReps workshop! 🎤✨

Coming right up - "Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations" by Tanveer Syeda-Mahmood from IBM Research ✨

NeurReps has begun! Join us today for a program combining geometry/topology, deep learning, neuroscience, and interpretability