Bastian Grossenbacher-Rieck
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
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@lorenzlamm.bsky.social
PhD Student at Helmholtz AI | MemBrain analysis for Cryo-ET #teamTomo
@tomkalei.bsky.social
Mathematician, Podcaster, cyclist, dad, antifascist, Magdeburg, he/him Academic home: https://thomas-kahle.de Podcast: @eigenraum.bsky.social When I was young, we used to compile our own operating systems. @[email protected] on Masto
@brandon1118.bsky.social
I am a graduate student at UVA! If ye be a non-Hausdorff/compactly-generated space then ye be my White Whale. “With my [cofibrant replacement] I stab at thee”- Captain Ahab, the hero of that story I think.
@kerstinrau.bsky.social
PhD Student in @uni_tue at @ml4science and Tübingen AI Center, member of @KImachtSchule
@onlinekyne.bsky.social
Math and science communicator, drag queen, author of “Math In Drag” 💖 My videos: instagram.com/onlinekyne
@arasasaad.bsky.social
Mathematician, Applied Topology, Machine Learning, Drug Discovery, Image Analysis.
@christianseitz.bsky.social
Archaeologist. Drones. 3D recording of things with SFM, Structured Light and Lasers. Automation and robots. Maker. Struggler. Blender renderer.
@merelkuijs.bsky.social
Machine Learning and Computational Biology at Helmholtz Munich, UZH, ETH Zurich, and previously at Genentech
@dbojar.bsky.social
#ML, Glycans, & #SynBio | Associate Professor at University of Gothenburg | Forbes 30 Under 30 Europe | Branco Weiss Fellow
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@viguera10.bsky.social
PhD student at AstraZeneca and Chalmers University of Technology. Machine Learning for natural sciences (Drug discovery).
@niallw.bsky.social
Postdoc @ NYU (computer graphics + human vision) | Previously: CS PhD @ Uni of Maryland; Intern @ NVIDIA, Meta Reality Labs; Undergrad @ Davidson College | I love computer graphics, perception, and cats | https://niall.phd/
@brunofmr.bsky.social
Associate Professor of Computer Science @Purdue, interested in graphs, invariances, causality, and OOD robustness in ML
@davidhuang.blog
davidhuang.blog || big on AI, thinks AGI is here already || AI drug discovery, auctions, physicalism in theory and dualism in practice, religion as a solution to the folk theorem || general studies at YouTube || views my own, RS not endorsement
@compvis.bsky.social
Computer Vision and Learning research group @ LMU Munich, headed by Björn Ommer. Generative Vision (Stable Diffusion, VQGAN) & Representation Learning 🌐 https://ommer-lab.com
@ryanchankh.bsky.social
Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.
@mniepert.bsky.social
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@stefanabaumann.bsky.social
PhD Student at @compvis.bsky.social & @ellis.eu working on generative computer vision. Interested in extracting world understanding from models and more controlled generation. 🌐 https://stefan-baumann.eu/
@kevinslote.bsky.social
Applied Mathematician Macro data refinement scientist https://kslote1.github.io Everyone should care. My opinions are my own
@arvindh75.bsky.social
ELLIS PhD student @Uni_stuttgart @EdinburghUni, Cautiously optimistic about GNNs and KGs | prev: @iiit_hyderabad @GoogleDeepMind
@florianmai.bsky.social
AI planning & alignment | Postdoc at University of Bonn https://linktr.ee/florianmai
@archernikov.bsky.social
Michael Brin professor of mathematics at the University of Maryland. Mathematical logic, model theory - and connections to combinatorics, algebra, etc. chernikov.me
@amanolache.bsky.social
ELLIS PhD Student @ IMPRS-IS/Uni Stuttgart; ML Research @ Bitdefender | https://andreimano.github.io/
@richtertill.bsky.social
Machine Learning for Computational Biology | PhD Student @ TUM, Helmholtz Munich with Fabian Theis, Niki Kilbertus
@lucaeyring.bsky.social
ELLIS PhD student at TU Munich & Helmholtz AI Generative Modeling - Optimal Transport - Representation Learning https://lucaeyring.com/
@krishnaswamylab.bsky.social
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
@leanderk.bsky.social
ML PhD student @ Uni Edinburgh Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@jacobbam.bsky.social
ML PhD student at University of Oxford. Interested in Geometric Deep Learning
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@teamtock.bsky.social
Texas mathematician studying applied category theory. Trying to make sense of it all. I'm building a small company called TOCK Analytics, whose concept won an award from the office of Senator Ted Cruz, and is receiving many well wishes. Thank you so much!
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@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=EGKYdiwAAAAJ&sortby=pubdate
@askoepke.bsky.social
Junior research group leader at TUM | University of Tübingen. Previously at VGG (Oxford), BAIR (Berkeley). Interested in multi-modal learning. 🔗 https://akoepke.github.io/
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@aliciacurth.bsky.social
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
@alexandermurphy.bsky.social
Student at the University of Edinburgh. ML Theory, Adversarial ML, Optimization, Efficient ML
@wkhuber.bsky.social
Statistician, Computational Biologist R | Bioconductor | Images are data https://www.huber.embl.de Textbook: Modern Statistics for Modern Biology https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)