Grigoris Maragkakis

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

We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.

Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.

Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While geometry & topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group

Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io

Research scientist, Inria. Statistical machine learning.

(He/they) Research scientist. Geometric deep learning, AI for science. 🏳️‍🌈🏳️‍⚧️ London

Post-doc @ VU Amsterdam, prev University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, commonsense reasoning https://www.emilevankrieken.com/

Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈

Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.

Computational Biophysicist, Amateur Photographer, History+Language Nerd. All views my own. Website: https://martinvoegele.github.io/

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

⛵️ Research Resident @ Midjourney 🇪🇺 Member @ellis.eu 🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence 🎓 PhD+MSc Computer Science, MSc Psychology 🏡 https://marvin-schmitt.com

human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him 👉 https://april-tools.github.io

Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.

Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they

•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻 •Masters Theoretical Physics UoM|UCLA🪐 •Intern @zuckermanbrain.bsky.social| @SapienzaRoma | @CERN | @EPFL https://linktr.ee/Clementine_Domine

Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila. A.M. Turing Award Recipient and most-cited AI researcher. https://lawzero.org/en https://yoshuabengio.org/profile/

Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️‍♂️🎾🏐⛷️⛸️🧘‍♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️