Our paper with my student Sasha Budnikova @slcuplants.bsky.social on learning mechanical models (Lockhart) from data!
openreview.net/forum?id=yQF...
Our paper with my student Sasha Budnikova @slcuplants.bsky.social on learning mechanical models (Lockhart) from data!
openreview.net/forum?id=yQF...
Join Kevin Tsia (The University of Hong Kong) at #LMRL #ICLR2025 as he explores high-speed optical methods for cancer screening, neural imaging & more—where biophotonics meets AI! 🚀🔬 #ML #Healthcare #Biophotonics
Join Kevin Tsia (The University of Hong Kong) at #LMRL #ICLR2025 as he explores high-speed optical methods for cancer screening, neural imaging & more—where biophotonics meets AI! 🚀🔬 #ML #Healthcare #Biophotonics
We’re excited to host Juan Caicedo (The University of Wisconsin-Madison) at #LMRL #ICLR2025, where he’ll showcase how AI can capture phenotypic variation & reveal new insights in disease & treatment. 🏥📸 #ML #AI #BioImaging
We’re excited to host Juan Caicedo (The University of Wisconsin-Madison) at #LMRL #ICLR2025, where he’ll showcase how AI can capture phenotypic variation & reveal new insights in disease & treatment. 🏥📸 #ML #AI #BioImaging
At #LMRL #ICLR2025, we’ll host Alex Rives (split between MIT, BroadInstitute & EvolutionaryScale), who led Meta AI’s protein folding team. He’ll share insights on AI-driven evolutionary-scale protein modeling! 🧬✨ #AI #Biotech
At #LMRL #ICLR2025, Yixin Wang (University of Michigan) will dive into causal & probabilistic models for biological data, redefining how we extract knowledge from complex systems. 📊🔍 #CausalAI #Statistics #ML
At #LMRL #ICLR2025, Yixin Wang (University of Michigan) will dive into causal & probabilistic models for biological data, redefining how we extract knowledge from complex systems. 📊🔍 #CausalAI #Statistics #ML
Stay tuned for new updates at www.lmrl.org ! 🚀
Stay tuned for new updates at www.lmrl.org ! 🚀