Bayesian Optimization + Gaussian Processes for ML

@lucamb.bsky.social

Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.

@kontoyiannis.bsky.social

Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]

@zhidilin.bsky.social

Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/

@andrewgwils.bsky.social

Machine Learning Professor https://cims.nyu.edu/~andrewgw

@arnosolin.bsky.social

Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi

@austinjtripp.bsky.social

(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery) Researcher @valenceai.bsky.social Details: austintripp.ca

@miniapeur.bsky.social

Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.

@vincefort.bsky.social

PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/

@fxbriol.bsky.social

Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.

@lacerbi.bsky.social

Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/

@maosbot.bsky.social

Parent, spouse, Australian, cyclist, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb

@dianarycai.bsky.social

Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com

@pnkraemer.bsky.social

Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/

@jwenger.bsky.social

Postdoctoral Research Scientist in Statistics at Columbia University

@thomas-pinder.bsky.social

Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.

@theo-brown.bsky.social

PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion

@jameshensman.bsky.social

Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.

@deisenroth.bsky.social

Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him

@dbindel.bsky.social

Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.

@philipphennig.bsky.social

Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.

@silviasellan.bsky.social

Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com

@arkrause.bsky.social

Professor at ETH Zurich

@mvdw.bsky.social

Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.

@willieneis.bsky.social

Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io

@avt.im

Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate