Redirecting
Check out the first paper from my PhD where we reformulate a classic OMA method (SSI-Cov) probabilistically using latent variable models. This new form can now permit hierarchical extensions with desired capabilities. In this work we present a statistically robust approach. doi.org/10.1016/j.js...
24.11.2024 22:03 — 👍 0 🔁 0 💬 0 📌 0
Looking to use this as a platform for exploring new ideas, discussing relevant topics and sharing my research, so if you’re working in something similar or just like learning new stuff, drop a follow!
24.11.2024 12:45 — 👍 0 🔁 0 💬 0 📌 0
Thought I’d better introduce myself!
My name is Brandon, I’m a Post-Doc researcher at the University of Sheffield based in the Dynamics Research Group (DRG). Currently my research includes Population-based SHM, Bayesian uncertainty quantification, and novel operational modal analysis techniques.
24.11.2024 12:42 — 👍 2 🔁 1 💬 0 📌 0
Lecturer in the Dynamics Research Group, University of Sheffield
machine Learning, decision-making, structural health monitoring
We're educating the next generation of engineers and computer scientists to lead change and address global challenges.
More about what we do: www.sheffield.ac.uk/engineering
Nature Portfolio’s high-quality products and services across the life, physical, chemical and applied sciences is dedicated to serving the scientific community.
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Creating a better future through AI-driven research, innovation and education at the University of Sheffield.
www.sheffield.ac.uk/machine-intelligence
Computer Science -- Computer Vision and Pattern Recognition (cs.CV)
source: export.arxiv.org/rss/cs.CV
maintainer: @tmaehara.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
official Bluesky account (check username👆)
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