Minchan Jeong

Ph.D. candidate @kaist_ai, working on SciML

[Mehmet Songur @mehmetsongur_]

Akademisyenler için Claude Code’u nasıl kullanacağınıza dair basit bir giriş.
Alessandro Spina'ya ait sunum slaytları ve GitHub deposu.

🔗 https://t.co/FCfOers2Lw

[Kyunghyun Cho @kchonyc]

this seems like the perfect time to re-advertise this new textbook <Foundations of Linear Algebra> authored by Prof. Wanmo Kang and me, if you're interested in vectors and vector spaces (also a bit of cosine similarity.)

link below.

[Bryce, the CUDA Colonel @blelbach]

We've announced cuTile, a tile programming model for CUDA!

It's an array-based paradigm where the compiler automates mem movement, pipelining & tensor core utilization, making GPU programming easier & more portable.

I'm proud of my stellar team for all their hard work on this!

[Alvaro Cintas @dr_cintas]

Tons of crazy releases from Google I/O 🤯

- Agent Mode
- Google Veo 3
- Jules Code Assistant
- AI Filmmaking Tool Flow
- Project Astra live abilities
- AI Image Google Imagen 4
- Think mode & native audio
- Gemini 2.5 new capabilities

Here’s EVERYTHING you need to know:

[Sangmin Bae @raymin0223]

🚀 Excited to share our latest research @GoogleDeepMind on ♻️Recursive Transformers!

We make smaller LMs by "sharing parameters" across layers. A novel serving paradigm, ✨Continuous Depth-wise Batching, with 🏃Early-Exiting could significantly boost their decoding speed!

🧵👇

[Ilan Price @IlanPrice]

🌍 GenCast update! 🌍 New highlights include 0.25° resolution, predicting extreme weather, cyclones, and wind power production. Across all our evaluations, GenCast is better than the world’s top operational medium-range weather forecast

New paper: https://t.co/3Ixmhuo20I

🧵 1/8

[Min Choi @minchoi]

Llama 3 just changed the LLM game.

People are finding wild use cases at GPT-4 level. There is a massive movement in the open source community.

10 examples (and ways to use Llama 3):

[Sam Altman @sama]

GPTs can save a lot of effort:

[Minchan Jeong @mc_jeong]

@barabasi I was deeply inspired by your books 'Linked' and 'Bursts' in starting my research journey. Thrilled to see this advanced textbook now available in Korean!

[Zixiang Chen @_zxchen_]

[1/3] Ever wondered how Sharpness-Aware Minimization (SAM) beats SGD? 🤔💡Sharpness is not the only answer! Our latest #NeurIPS2023 paper provides a new perspective that applies to non-smooth loss landscapes. 🚀
🔗: https://t.co/L7y9LEUbIK

[Ziming Liu @ZimingLiu11]

Deep learning has many mysterious phenomena, and grokking is one of the extreme. Want to catch up with the grokking literature? I've compiled a one-page summary of what's going on in the grokking world. Enjoy! :-)
https://t.co/yKvFofkKRu

[Valeriy M., PhD, MBA, CQF @predict_addict]

A new 150 pages review paper on the applications of machine learning in finance.

#machinelearning #finance

https://t.co/juXVj1Osfo

[Stat.ML Papers @StatMLPapers]

Towards Understanding the Dynamics of Gaussian--Stein Variational Gradient Descent. (arXiv:2305.14076v1 [https://t.co/kehXLTMwJD]) https://t.co/vBXwVoVaka

[Seungwon Park @veydpz_public]

몰로코 서울오피스에서 저와 함께 ML 엔지니어로 일하실 분을 찾습니다! JD를 요약하자면, 수학적 통찰에 기반한 딥러닝의 이해가 깊으며 개발도 잘 하실 수 있는 분이면 좋습니다.

JD & 지원 페이지: https://t.co/FE4pDa6Ayh

[Junghyun Lee @ICML 2026 @nick_jhlee]

something that i should definitely work on much more…

[Ernest Ryu @ErnestRyu]

Say you have an optimization algorithm, and you want to find its convergence proof. Do you want computer assistance in finding the proof? If so, check out Shuvo's talk given at the 2023 PEP Workshop, UCLouvain! 🇧🇪

[Dave Richeson @divbyzero]

Looks interesting... https://t.co/lPm1Q8vq2F

[상일 @sioum]

Penrose라는 것이 있었군요.
“Penrose is a platform that enables people to create beautiful diagrams just by typing mathematical notation in plain text.”
https://t.co/jd55pZgpsb

[Gabriel Ilharco @gabriel_ilharco]

Fine-tuning can make models like CLIP less robust.

A simple idea is highly effective at mitigating that:
averaging zero-shot and fine-tuned models.

Check out our work introducing WiSE-FT, just accepted to CVPR!

Paper: https://t.co/MpvyPcfl3d
Code: https://t.co/fXm3L2NnsO

[Jeremy Cohen @deepcohen]

I tell new PhD students to pick a research topic according to three criteria: (1) the problem should be important, (2) it should have a reasonable chance of being solvable, and (3) you should personally have a unique edge.