PhD student at the University of Tübingen and the Max Planck Institute for Intelligent Systems. Working on probabilistic numerics, differential equations, filtering and smoothing, and recently automl for time series forecasting. nathanaelbosch.github.io

PhD student @universitedeliege.bsky.social with @glouppe.bsky.social. @frsFNRS research fellow. Focuses on AI for scientific discoveries 🤖

Professor, Programmer in NYC. Cornell, Hugging Face 🤗

Professor of Marketing at NYU Stern School of Business, serial entrepreneur, and host of the Prof G and Pivot Podcasts.

Professor, University of Tübingen @unituebingen.bsky.social. Head of Department of Computer Science 🎓. Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social. ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu. CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺

Quantum information, useless information, generally informed. Quantum algorithms researcher at phasecraft.io https://ievacepaite.com/

Categorical Deep Learning.

PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io

Parody quantum computing startup from South London https://dulwichquantum.github.io/

SF writer / computer programmer Latest novel: MORPHOTROPHIC Latest collection: SLEEP AND THE SOUL Web site: http://gregegan.net Also: @gregeganSF@mathstodon.xyz

Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org

Explore the latest AI research trends and meet others in the field at ResearchTrend.AI. https://researchtrend.ai/

FR/US/GB AI/ML Person, Director of Research at Google DeepMind, Honorary Professor at UCL DARK, ELLIS Fellow. Ex Oxford CS, Meta AI, Cohere.

Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com

web @ https://argmin.xyz interests: machine learning, ai4science, algorithms, coding member of technical staff @ https://cusp.ai past @ MSR, DeepMind, MPI-IS home @ Heimbach (Gilserberg), Berlin, Europe born @ 353 ppm block toxicity he/him

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

AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com

Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.