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Posts by Zǐwēi Huáng

Coordinator (m/f/d, E13 TV-L, 75%)

🚨 We're hiring: Research Coordinator for CRC Robust Vision
@unituebingen.bsky.social

Take a leading role in our DFG funded consortium in neuroscience, ML & CV

MSc/PhD + science mgmt. Apply by Mar 15 👇 join our team w/ @jakhmack.bsky.social @bethgelab.bsky.social

uni-tuebingen.de/en/universit...

1 month ago 11 7 0 0
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A cat invited itself to our team building workshop at work. It certainly helped.

2 months ago 0 0 0 0
Side view of a blue shorthair sitting on a low concrete ledge outdoors, looking to the left.

Side view of a blue shorthair sitting on a low concrete ledge outdoors, looking to the left.

#CatOfTheMonth

3 months ago 1 0 0 0

I’d just draw names from Pokédex :-)

3 months ago 1 0 1 0
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Excited to share that our paper got accepted @NeurIPS! 🎉

We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data.

📊 2D visualizations revealing biological patterns
🔍 Automatic artifact detection
🔬 Works for calcium imaging & electrophysiology data

4 months ago 15 2 1 1
A data and task-constrained mechanistic model of the mouse outer... Visual processing starts in the outer retina where photoreceptors transform light into electrochemical signals. These signals are modulated by inhibition from horizontal cells and sent to the inner...

Excited to present at #NeurIPS this week on my work building biophysical models of the outer retina! If you’re around come check it out or just say hi, poster #2015, Friday 11-2🎉

You can find the full paper here: openreview.net/forum?id=ayj...

In brief🧵:

4 months ago 13 2 1 0
A data and task-constrained mechanistic model of the mouse outer... Visual processing starts in the outer retina where photoreceptors transform light into electrochemical signals. These signals are modulated by inhibition from horizontal cells and sent to the inner...

Retina model with Jaxley poster #2015: Friday 5 Dec 11:00am at San Diego ➡️ openreview.net/forum?id=ayj... 7/11

4 months ago 3 1 1 0
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Third, in collaboration with @kyrakadhim.bsky.social, @philipp.hertie.ai, and others, we built a task- and data-constrained biophysical network of the outer plexiform layer of the mouse retina. To optimize this model, we built it on top of our Jaxley toolbox for differentiable simulation. 6/11

4 months ago 3 1 1 0
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AI tool for brain simulations links cellular detail to cognitive functions — MACHINE LEARNING for science For decades, brain simulations have either been largely simplified, or they could not perform cognitive tasks. A new AI tool opens possibilities to build brain simulations that can achieve both.

On our blog: For decades, brain simulations have either been largely simplified, or they could not perform cognitive tasks. #JAXLEY, a new AI tool, opens possibilities to build brain simulations that overcome both limitations: www.machinelearningforscience.de/en/jaxley-ai... #AIforScience

4 months ago 16 6 1 2
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Simulation-Based Inference: A Practical Guide A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...

Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.

📄 Paper: arxiv.org/abs/2508.12939

4 months ago 35 10 1 3

I wish we can write more (or all) papers in this style.

4 months ago 1 0 0 0
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TBH, I don't have much to post from work, so to fill the void I'll just share photos of cats I meet in Tübingen from time to time.

4 months ago 8 0 0 0

Does "heads off" express more respect than "hats off"? 😆

4 months ago 3 0 1 0

🎓 We're hiring two PhD students in #MachineLearning for my new group at the Hertie Institute for AI in Brain Health, University of Tübingen!

Work on unsupervised learning, #DeepLearning, and #Neuroscience in a vibrant research environment.

👇 Details below

4 months ago 8 3 2 1
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Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics - Nature Methods Jaxley is a versatile platform for biophysical modeling in neuroscience. It allows efficiently simulating large-scale biophysical models on CPUs, GPUs and TPUs. Model parameters can be optimized with ...

Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al.

Paper: www.nature.com/articles/s41...

4 months ago 48 25 1 4