🌟 Grateful for the support at yesterday's presentation where I presented on behalf of my amazing co-authors! 🙏 Exciting things ahead: 📌 Wed @ 1pm - charing a session 🎤 📌 Wed @ 2:30pm - Join us for W-06-014 on diffusion models & MRI 📌 Thurs@ 8am Don't miss our tutorial

🎤👥 Had a fantastic time chairing the #MICCAI2023 oral session 12 yesterday! 🚀 Fascinating discussions and cutting-edge research all in one place. 🤓🔬

🔥 Don't miss out on the action! Our tutorial is LIVE at #MICCAI2023 right now! 🚀

🌟Big thanks to the IMIXR Seminar, HK for the warm welcome and an amazing audience! 🎤 Sharing insights on multi-modal hypergraph learning and our latest strides in implicit neural representations. 🤓

We are delighted to announce the 11 projects funded through our 2023 Accelerate-Cambridge Centre for Data-Driven Discovery funding call for novel applications of AI for research and innovation! Find out more about the funded projects here: bit.ly/3MlqtWL

Beyond U: Making Diffusion Models Faster & Lighter paper page: huggingface.co/papers/2310.20… Diffusion models are a family of generative models that yield record-breaking performance in tasks such as image synthesis, video generation, and molecule design. Despite their capabilities,

🎉 Our paper got accepted in TNNLS! 📚📊 🔍 Image-level registration + Feature-level contrastive learning = CLMorph for Unsupervised Medical Image Segmentation! 🏥 Paper: arxiv.org/pdf/2011.08894… Code: bit.ly/mathTNNLS23_Co… Joint work with Lihao Liu and Carola-Bibiane Schönlieb

🎓Thanks to the Stokes Society at Pembroke College for inviting me to speak last night. An engaging night talk that stretched even after 10 pm. Dived into how Math & ML can collaboratively solve real-world problems, from diagnosing Alzheimer's to computational photography & more

🤔 Curious about our work? Join Sergio at the NeurIPS Meetup in Cambridge today! 📍 Don't miss out on our insightful session at 4pm. 🕓

Our new TMLR paper-- NorMatch: a new take on Semi-Supervised Learning 🚀 Our approach leverages normalising flows for uncertainty estimation & a unique threshold-free weighting strategy.📈 Paper: bit.ly/NorMatchTMLR Code: bit.ly/NorMatch

🌟 Thrilled to share that two of our papers have been accepted at #ICML24! HAMLET for PDEs, and Leddam for Time Series Forecasting. A huge shout-out to our brilliant students and collaborators! 🚀 Stay tuned—more details coming soon!

📢 Our PI Carola-Bibiane Schönlieb team got the Best Paper Award in the Grand Challenge DREAMING 2024!

We enjoyed an interesting CIA seminar from Chaoyan Huang about her recent work on Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems! ➡️arxiv.org/abs/2406.02458

🌟 We've had two papers accepted at #MICCAI2024! Plus, we're also hosting 1 workshop and 1 tutorial. Stay tuned for more details! 🚀

🌧️📽️ Today at #CVPR2024, make your videos weatherproof! 📍Join us in today's PM session at Arch 4A-E, #142. Our approach introduces test-time adaptation into the iterative diffusion reverse process for adverse weather removal. Yijun will be there to share insights!

🌟 Exciting news! two papers accepted at #ACMMM24! 🎉 Thanks to our amazing students & collaborators! 1) TrafficMOT, a dataset for multi-object tracking in traffic videos 🚗🎥. 2) Training-Free Feature Reconstruction for vision-language models . Stay tuned for more! 🚀

Excited to be in Vienna for #ICML2024! 🇦🇹 We’re presenting our latest work on PDEs and time series. Stay tuned and drop by to say hi!👋

🎉 Excited to present HAMLET: Graph Transformer Neural Operator for Partial Differential Equations at #ICML2024! Join us today for the details at 11:30 AM, Poster #217 in Hall C. See you there! 🚀✨ More info: math-ml-x.github.io/HAMLET/

🌟 At #ICML2024 and into time series? 📊 Don't miss our poster on: Leddam: Learnable Decomposition with Inter-Series Dependencies & Intra-Series Variations Modeling! See you today at 1:30 PM 🕜 at Poster #1807! 💡 Shout-out to our amazing collaborators!! Emma