Math+ML+X_Lab
@MATH_ML_X_Lab
PI: @aviles_rivero. Yau Mathematical Sciences Centre, Tsinghua University. We focuse on the intersection of Math, ML, and real-world applications (X).
🚀 Exciting news! 🚀 We're launching a brand-new channel! 🎉 Join the fun and stay updated – just scan the QR below to get started! 📲👇
🔊 We’re hiring Interns / RAs / Postdocs to solve for x: x ∈ {Inverse Problems, Computer Vision, Learned PDEs, Graph Learning, LLMs4Science, AI4Science, ...} s.t. x ↦ real impact {healthcare, weather, materials, + more! } 🌎 🏆Join before the gradient vanishes. ∇💥 !!
🚨 Schedule Update! Our MATH+ML+X Seminar with Prof. Hongxia Yang from The Hong Kong Polytechnic University starts in less than 1 hour!!! ⏰ 🧠 Topic: Co-GenAI: A Novel Fusion-Driven Framework 🗓️ Today at 4 PM (Beijing Time) 💻 Join via Voov (tencent): 177-832-355
🚀 Our Math+ML+X group at #MICCAI2025: 🏆 PI won the Outstanding Area Chair Award!, served on Best Paper committee & joins the #MICCAI2026 Committee! 📚 We co-organised the Graph Learning Tutorial & Workshop on MedAGI 🧮 Presented Implicit U-KAN2.0 for medical segmentation!
🚨 Tomorrow @ #MICCAI2025! 📍 C235 (Fri-PM) Implicit U-KAN2.0 Med Image Segmentation ⚙️ O(1) adjoint memory 🧮 Dim-free approximation 📈 +40% segmentation boost 🫀🫁 Our amazing student @SamChunWunCheng will present 👏 Meet our PI @aviles_rivero if you’d like to join our team!
🚀 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 😎
🚨Implicit U-KAN2.0 is accepted @ #MICCAI2025! ⚙️ Second-Order Neural ODEs (SONO) 🧮 + MultiKAN (Kolmogorov-style!) ✨ Highlights: • O(1) memory via adjoint • Dim-independent approximation • Up to +40% segmentation boost 🧠🫀🫁 Shoutout to our amazing team! 🙌
🚨 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
📢 Call for Papers – @MedAGI_miccai 2025 🧠MICCAI 2025 3rd International Workshop on Foundation Models for General Medical AI 📅Deadline: June 25 (Wed), 2025 (23:59, Pacific Time) 🔗Submit now: medagi2025.github.io/#/call-for-pap… 📲Scan QR below & share! #MEDAGI2025 #CallForPapers
📅 @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
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