Tzu-Chi Yen

顏子祺 | Computer scientist | Postdoc in neuroscience @CUBoulder, supported by @KavliFoundation | Prev: CS PhD | loves stories & science | he/him

[Tzu-Chi Yen @oneofyen]

Hi Twitter 👋 — I am seeking generative modeling, data science, & applied ML roles. Prefer remote/CO-based, small teams, fast-track interviews. Background in science + software eng. DMs open, leads & RT appreciated!

Resume: https://t.co/ZKiOoYlH3y

[tomaarsen @tomaarsen]

I'm looking for an intern to introduce Sparse Embedding models to Sentence Transformers! If you're passionate about open source, interested in helping practitioners use your tools, and enjoy embedders/retrievers/rerankers, then I'd love to hear from you!

Links to apply in 🧵

[Tzu-Chi Yen @oneofyen]

Does anyone know of a generative model that produces random “Where's Wally” wallpapers?

[Alicia Curth @AliciaCurth]

Part 2: Why do boosted trees outperform deep learning on tabular data??

@Jeffaresalan &I suspected that answers are obfuscated by the 2 being considered very different algs

Instead we show they are more similar than you’d think — making their diffs smaller but predictive!🧵1/n

[Lorenzo Dall'Amico @lo_dallamico]

📢 new paper out on @NatureComms

Check out our latest work in which we define a new distance between pairs of temporal graphs. Thanks to @ciro and @alainbarrat for the great collaboration

Paper: https://t.co/hoCC9S7EvA
Github repo: https://t.co/HB8EC03hVm

[Brennan Klein @jkbren]

A few more weeks to apply for the Network Science PhD program at @NUnetsi! This is a quantitative and interdisciplinary program, full of great researchers.

Program page: https://t.co/0GWI0FhLyh

Also, feel free to ask questions (!!): https://t.co/xUHWQvdpuo

[Diana Cai @dianarycai]

Looking forward to speaking in the online Monte Carlo seminar tomorrow!

[Peter Bandettini @fMRI_today]

In fMRI, spatial topology of specific network nodes is emerging as informative to pathology. Here is an insightful opinion piece on the topic: https://t.co/y848ivxVwA

[allen institute @AllenInstitute]

Describe your neurons like the Allen Institute!

Join us in Seattle on Mar. 17-19 for a workshop on how we define brain cell types and how you can apply our free, open tools to your research.

⏳ Applications due by Dec. 6.
🛫 Travel stipends available. https://t.co/l363YwHrZh

[Steven Strogatz @stevenstrogatz]

If you're interested in AI, machine learning, data science, and black box models, you might enjoy my chat with @Stanford statistician Emmanuel Candès.

[Nicole Wein @WeinNicole]

At University of Michigan CSE we have a new program for PhD applicants to apply for an application fee waiver. If you are interested in applying but paying the fee poses a challenge, see here for more info: https://t.co/vnClBRNegJ

[allen institute @AllenInstitute]

Dive into the intricate connections in the mouse brain!

This video showcases 107 reconstructed neurons, thanks to the combined efforts of our teams at the Allen Institute, global collaborators, and tools from @GoogleAI.

Imaged using our cutting-edge ExA-SPIM microscope. 🧠✨

[Blai Vidiella @BlaiVidiella]

Why doesn’t evolution follow a path of constant adaptation?

Over the past 50 years, punctuated equilibrium has expanded leading to a unified framework for punctuated evolution across scales—from genes to ecosystems & our planet.

Our new collaboration at https://t.co/HXYe0yUyDM

[Giulio Biroli @GiulioBiroli]

And the 2025 Onsager prize goes to …. Jean-Philippe Bouchaud, Leticia Cugliandolo, and Jorge Kurchan!
Their works on out of equilibrium dynamics are so beautiful, influential and important - real gems. Huge congratulations ! https://t.co/8o4pk3Kndk

[Lena Mangold @lenafmangold]

New paper out (with @camcam) 🥳

Want to understand how your network's metadata relate to its block structure? Check out our 'metablox' tool! @CommsPhys

"Quantifying metadata relevance to network block structure using description length" 🧵(1/5)

https://t.co/vU5c46c04d

[Tzu-Chi Yen @oneofyen]

@man_lin_Chen Way to go! Keep in touch.

[Arthur Douillard @Ar_Douillard]

The Nobel prize website has a pretty well made 1-pager on how Alphafold works

[The Nobel Prize @NobelPrize]

Did you know that an artificial neural network is designed to mimic the brain?

Inspired by biological neurons in the brain, artificial neural networks are large collections of “neurons”, or nodes, connected by “synapses”, or weighted couplings, which are trained to perform certain tasks. An artificial neural network processes information using its entire network structure. The inspiration initially came from the desire to understand how the brain works.

Learn more about this year’s physics prize awarded for work on artificial neural networks: https://t.co/QuIdxRvuEP

#NobelPrize

[FlyWire @FlyWireNews]

Big news! The fly connectome is featured on the cover of a special edition of Nature.
This is all possible thanks to the collaboration of 292 members of The FlyWire Consortium!
https://t.co/Mrz7Yrx1eU
Check out the thread for an overview of the 9 #flywire papers published today

[Lenka Zdeborova @zdeborova]

This mini-review is based on Hugo Cui's PhD thesis: https://t.co/DmVhuhlBmz . My advice to him was: "Write something you would have loved to have when you started your PhD!" He did an outstanding job introducing the rich methods he developed. Enjoy and share widely!

[Lenka Zdeborova @zdeborova]

This will be a Spotlight at @NeurIPSConf . Excited to discuss about Emergence and how to understand it with many of you there!