PI: @aviles_rivero. Yau Mathematical Sciences Centre, Tsinghua University.
We focuse on the intersection of Math, ML, and real-world applications (X).math-ml-x.github.io Beijing, ChinaJoined October 2024
🚀 Math+ML+X Lab has arrived at #MICCAI2025 with several exciting events!
First up:
📚 GraphMedIA Tutorial – Graph Learning in Medical Image Analysis
🗓 Sept 23, 2025
📍 DCC I-1F-102
⏰ 8:00 AM – 12:30 PM
🌐 math-ml-x.github.io/GraphMedIA25/
✨ Stay tuned for more sessions coming soon!
🚨 Only a few hours left!
Join us TODAY at 3 PM (Beijing Time) for the MATH+ML+X Seminar 💡
📢 Speaker: Guoqi Yu (The Hong Kong Polytechnic University)
🧠 Topic: Time Series Analysis in the Age of Large Foundation Models
🖥️ Online via Voov: 438-550-633
📐✨ Happy Teacher’s Day! ✨📐
A teacher is like a limit: as time approaches infinity, your patience remains.
You make divergent thoughts converge,
equations of doubt find solutions,
and knowledge grow in us like an infinite series —
expanding forever, yet always guided by you.
🚀 After a summer gradient-descenting down mountains ⛰️ and finding local minima in gelato shops 🍦, the seminar series is back!
📅 Sep 11, 3pm (HKT)
🎙️ Guoqi Yu (PolyU)
Time Series Analysis in the Age of Large Foundation Models
🔗 Join via Voov!
#Math#MachineLearning#AI
🚨 The countdown to #MICCAI2025 has begun! 🚀 We’re bringing our latest research and a tutorial session to the table.
Got questions about our work or curious about joining the squad (we have open positions!)? Come find us!🤓💻.
🚨Are you passionate about Maths + ML + X (real-world impact — e.g. healthcare)?
We have openings for Paid Interns, Research Assistants, and Postdocs.
If you’re curious about: Learned PDEs / Inverse Problems/ Graph Learning/ LLMs for Science
Join us-- apply soon! 📢
📢New blog! Find out how Jakob Träuble from @cebcambridge used funding from Accelerate and the Cambridge Centre for Data-Driven Discovery (C2D3) to help detect conditions like Parkinson’s or Alzheimer’s years before symptoms appear.
Read the blog: bit.ly/4mhdKEd
Meet @aviles_rivero, Assistant Professor at @Tsinghua_Uni 🇨🇳 & @Cambridge_Uni 🏴, ELLIS Member working on #ML, applied math, inverse problems & graph learning.
She champions young women in #AI: “A supportive network can be a game-changer.”
#WomenInELLIS
May your summer be as bounded as a compact set, as smooth as a differentiable curve, and as infinite as a harmonic series (but with more convergence).
Here's to a season of well-defined limits and maximum enjoyment. ☀️∫😄
What began as a small idea drew 300+ signups!😮
Closed registration early, picked just 60 guests.
Huge thanks to our chairs, co-organisers, volunteers, and every one of you who made it possible. 🙌
Science + AI + a touch of chaos.
f(hype) = O(∞) as t → last Saturday 😎
🚨 Call for Papers – @ICCVConference 2025 Workshop
Computer Vision for Automatic Diagnosis
🌺 Hawaii | FMs, LLMs, advanced learning paradigms & fair, reliable medical AI
📅Deadline: June 21, 2025
🙌 We're excited to be part of the organizing team!
🔗cvamd.github.io/CVAMD2025/
🚨 Reminder: Call for Papers – @MedAGI_miccai 2025
Join us to explore the future of Medical AI × Foundation Models.
📅 Submission Deadline: June 25, 2025 (PT 23:59)
🧠 Bridging AI innovation with real-world healthcare.
🔗 Details & Submission: medagi2025.github.io/#/call-for-pap…
🧠 What if your imaging model learned from noise? 🔍
Join Dongdong Chen (Heriot-Watt University) at #MathMLXSeminar on May 29 @ 4PM (Beijing time) for:
📌 Equivariant Imaging: Unsupervised Learning with Symmetry for Scientific Imaging
📍 Voov ID: 957-841-954
📅 @NeurIPSConf 2025 deadline is creeping in like a stealthy optimizer...
Caffeine intake: ☕☕☕☕
Sanity: vanishing gradients
Team status: ∇loss > 0, gradients exploding — so are we
Stay strong, researchers🤝
#NeurIPS2025#ML#DeadlineMood
🌱 Happy International Labor Day! 🌱
Math+ML+X wishes everyone a happy International Labor Day! 🎉
At the intersection of math ➗, machine learning 🤖, and exploration 🌍,
may we all keep moving forward on the paths we love ❤️.
Rest up, and keep pushing forward! 🚀
#LaborDay2025
#DearTsinghua, we want to express our deepest gratitude for opening the door to our Math+ML+X group and giving us the opportunity to grow, learn, and thrive in this inspiring academic community.
💐🎊Happy #Tsinghua114 Anniversary 🎉🌺
🧠 Ready to see ML tackle quantum fluids of light? 💡⚡️
Join Yuan Wang (University of Exeter) at #MathMLXSeminar on Apr 24 @ 4PM (Beijing time) for:
📌 A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems
📍 Voov ID: 572-208-666
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