Into distributions, slices, and reconstruction algorithms? We’ve got something you’ll want to see at Poster #1806 at #NeurIPS2025. 📅 Dec 5 | ⏰ 11–2 | 📍 Exhibit Hall C/D/E

🎴Big news! Our FNO-based approach accelerates quantum-fluid modelling by ~4000× — while preserving full physical accuracy. Now published in Nature Portfolio’s Communications Physics! Huge thanks to our incredible collaborators who made this possible!! https://t.co/r7cA3Ynkpw

📢 News! (cc: @MICCAI_Society @IeeeIsbi) @aviles_rivero & @WangShujunCUHK will co-lead Winter School 2025: Medical Imaging in the Deep Learning Era! ✨ Two days of AI + medical imaging ✨ Amazing speaker lineup ✨ FREE & online 🗓️ Dec 5–6, 2025 🔗 https://t.co/S2YXRsV3Qr

🚨 NeurIPS packing mode: ON. Bringing D2SA — come say hi! Dual-Stage MRI TTA: 🔭 Global implicit representation for domain shift 🧩 Diffusion-based refinement for crisp anatomy ✨ Operator-shift-aware ✨No TTA collapse ✨Strong OOD robustness Team crushed it! 🙌 #neurips2025

📢 Call for Reviewers: ISBI 2026! We are seeking dedicated reviewers to help evaluate submissions for #ISBI2026. If you have expertise in biomedical imaging and want to make an impact, we’d love to have you on board! 🙌Sign up here: https://t.co/mXGDEKcSRE

📢 Deadline extended! Submit your paper to #ISBI2026 by 14 Nov 2025. 🔗 https://t.co/42t6EdTvTU

🔊 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!

🚨 Today is the day! @ #MICCAI2025! Join us for Implicit U-KAN2.0 👉 📍C235 (Fri-PM) !!! Shoutout to our incredible students & collaborators 🎉 We’ll be there — come say hi! 🙌

🚨 We’re at #MICCAI2025 to talk, share & discuss ideas! If you’re curious about our work — or even thinking of joining our team — come by and chat with us. 🚀

🚀 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!🤓💻.

⏰ Deadline approaching! Less than 1 month left to submit proposals for demos, tutorials, challenges, and special sessions at ISBI 2026! 📅 Submit by September 15, 2025. Don't miss it! 🔗 https://t.co/RpxGHk2JM2 #ISBI2026 @IEEEsps

🚨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! 📢

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! 🙌

#MICCAI2025