Research Scientist at Apple for uncertainty quantification.

Author of Bea Wolf, A City on Mars, and the comic SMBC Website: www.smbc-comics.com Patreon: https://www.patreon.com/ZachWeinersmith?ty=h New book: http://www.acityonmars.com/

PhD Student at @dtai-kuleuven.bsky.social

PhD student @dtai-kuleuven.bsky.social in neurosymbolic AI and concept-based learning https://daviddebot.github.io/

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 🖺

Trending papers in Vision and Graphics on www.scholar-inbox.com. Scholar Inbox is a personal paper recommender which keeps you up-to-date with the most relevant progress in your field. Follow us and never miss a beat again!

European Research Council, set up by the EU, funds top researchers of any nationality, helping them pursue great ideas at the frontiers of knowledge. #HorizonEU

International Conference on Learning Representations https://iclr.cc/

noun | a reference source containing words alphabetically arranged along with information about their forms, pronunciations, functions, and etymologies

Dad, husband, President, citizen. barackobama.com

IJCAI is the longest-running premier international AI research conference since 1969. 🌍 Connect across domains and feel the pulse of AI. 🗓️ #IJCAI2025 ❗16-22 August 2025❗Montreal 🇨🇦

Software Engineer at Google. ML PhD from DTAI. Alumnus Computer Science KU Leuven.

PhD student @ Linköping University I like 3D vision and training neural networks. Code: https://github.com/parskatt Weights: https://github.com/Parskatt/storage/releases/tag/roma

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

Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/

Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io

Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/

Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR Former quant 📈 (@GoldmanSachs), former former gymnast 🤸‍♀️ My opinions are my own 🇧🇬-🇬🇧 sh/ssh

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