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auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
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Re-posting is appreciated: We have a fully funded PhD position in CMC lab @cmc-lab.bsky.social (at @tudresden_de). You can use forms.gle/qiAv5NZ871kv... to send your application and find more information. Deadline is April 30. Find more about CMC lab: cmclab.org and email me if you have questions.

🚀 We’re hiring! Join Bernhard Schölkopf & me at @ellisinsttue.bsky.social to push the frontier of #AI in education! We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation. 👉 forms.gle/sxvXbJhZSccr...

After just sharing the first scientific thread... I'm wondering what it is called here. What is the equivalent of a Tweetprint? I'm a bit late in the game here, anything picking steam? Skeetprint? If there isn't any... I kind of like "science flutter"

1) Some exciting science in turbulent times: How do mice distinguish self-generated vs. object-generated looming stimuli? Our new study combines VR and neural recordings from superior colliculus (SC) 🧠🐭 to explore this question. Check out our preprint doi.org/10.1101/2024... 🧵

Amazing!! So well deserved 🎈🚀🍀💛

With “Tübingen Women in Machine Learning”, Claire Vernade and her team have created a local community. Their aim is to empower women and make them more visible. Read more on our blog: www.machinelearningforscience.de/en/a-network... @twiml.bsky.social #TWiML #WiML

Can we build neural networks whose structure and computational abilities match a real brain? We are not quite there yet, but recent work by @lappalainenjk.bsky.social et al. shows a strategy for getting closer to this goal. Read more on our blog: www.machinelearningforscience.de/en/improving...

And next proud advisor moment: @annalenakofler.bsky.social talking about her masters thesis project we worked on while she was still at TUM.

Great talk by @annalenakofler.bsky.social Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics ml4physicalsciences.github.io/2024/files/N...

Scientists - consider writing up your research for Frontiers for Young Minds (if you are brave enough to face kid reviewers 😉). Here's how: kids.frontiersin.org/participate/... Like Liza Fazio! @lkfazio.bsky.social Or Yann LeCun! @ylecun.bsky.social kids.frontiersin.org/articles/10....

Inferring stochastic low-rank recurrent neural networks from neural data @matthijspals.bsky.social

@vetterj.bsky.social and I are excited to present our work at #NeurIPS2024! We present Sourcerer: a maximum-entropy, sample-based solution to source distribution estimation. Paper: openreview.net/forum?id=0cg... Code: github.com/mackelab/sou... (1/8)

Ported over from X! What will a foundation model for the brain look like? 🧠 We argue that it must be able to solve a diverse set of tasks across multiple brain regions and animals. Check out our NeurIPS paper which introduces a multi-region, multi-animal, multi-task model arxiv.org/abs/2407.14668

1) With our @neuripsconf.bsky.social poster happening tomorrow, it's about time to introduce our Spotlight paper 🔦, co-lead with @jkapoor.bsky.social: Latent Diffusion for Neural Spiking data (LDNS), a latent variable model (LVM) which addresses 3 goals simultaneously:

How can we build BCIs that operate robustly in the face of nonstationarities? Our @neuripsconf.bsky.social Datasets and Benchmarks paper introduces the Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark! Led by Brianna Karpowicz and @joelye.bsky.social

This list likely reflects mainly my interests and circle, and I’m sure I’ve missed many people, but I gave it a try: (I’ll be slowly editing it until it reaches 150/150) go.bsky.app/7VFUkdn (also, I tried but couldn't remove my profile...)