Ph.Suignard

@luciolcw.bsky.social

Assistant Professor @ University of Calabria 🇮🇹 👨🏻‍💻 Ph.D. in Information and Communication Technologies Prev. Visiting @ IT University of Copenhagen 🇩🇰 🤖 Multimodal Representation Learning & Networks https://luciolacava.me/

@jfoerst.bsky.social

Jakob

@florasalim.bsky.social

Professor, CSE, UNSW Sydney. #AI #ML #UbiComp #LLM #MFM #timeseries #ST #multimodal #sensors #continuallearning #trustworthyAI ❤️ #coffee Why am I here? Scouting for a new platform to discover and learn new papers (let’s see if it’s the one)

@eigenhector.bsky.social

Machine learning, meditation, magic, muscles, mathematics, metta, meta, memes, manifolds. Researcher in Machine Learning and Contemplative arts. https://scholar.google.com/citations?user=KjOV76MAAAAJ&hl=en Recsys book author https://amzn.to/3ANPx6e

@jparkerholder.bsky.social

RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)

@gokul.dev

PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.

@sethlazar.org

Philosopher working on normative dimensions of computing and sociotechnical AI safety. Lab: https://mintresearch.org Self: https://sethlazar.org Newsletter: https://philosophyofcomputing.substack.com

@allandafoe.bsky.social

@abursuc.bsky.social

Research Scientist at valeo.ai | Teaching at Polytechnique, ENS | Alumni at Mines Paris, Inria, ENS | AI for Autonomous Driving, Computer Vision, Machine Learning | Robotics amateur ⚲ Paris, France 🔗 abursuc.github.io

@motonobu-kanagawa.bsky.social

Statistics, machine learning, numerics, and simulation at EURECOM.

@rockt.ai

Director and Open-Endedness Team Lead Google DeepMind (GDM). Professor of Artificial Intelligence, University College London (UCL), and PI of @ucldark.com. Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS).

@roydanroy.bsky.social

Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.

@timrudner.bsky.social

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

@alexlew.bsky.social

Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS

@cmaddis.bsky.social

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

@canaesseth.bsky.social

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

@sejdino.bsky.social

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

@desirivanova.bsky.social

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

@eringrant.bsky.social

Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @eringrant@sigmoid.social, twitter.com/ermgrant @ermgrant

@jwvdm.bsky.social

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

@mvdw.bsky.social

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

@mgorinova.bsky.social

ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/

@tychovdo.bsky.social

Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.

@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/

@yaringal.bsky.social

Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)

@karen-ullrich.bsky.social

Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.

@emilevankrieken.com

Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/

@mgollub.bsky.social

🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.

@javaloyml.bsky.social

Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io

@lenazellinger.bsky.social

ELLIS PhD student at the University of Edinburgh https://lenazellinger.github.io/

@nicolabranchini.bsky.social

🇮🇹 Stats PhD @ University of Edinburgh 🏴󠁧󠁢󠁳󠁣󠁴󠁿 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about

@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!

@loreloc.bsky.social

#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/

@andreasgrv.bsky.social

Postdoc in ML/NLP at the University of Edinburgh. Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs. https://grv.unargmaxable.ai/

@arkrause.bsky.social

Professor at ETH Zurich

@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

@trappmartin.bsky.social

ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/

@thomas-pinder.bsky.social

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

@sperez-vieites.bsky.social

Postdoctoral researcher at Aalto University and FCAI, Helsinki 🇫🇮 Previously in Edinburgh, Lille and Madrid. Working on Bayesian inference for state-space models, and Bayesian experimental design. https://sarapv.github.io/

@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.

@mschauer.bsky.social

Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]

@pierrealquier.bsky.social

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 🌈

@guyvdb.bsky.social

🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/

@imurray.bsky.social

Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray

@siahkoohi.bsky.social

Assistant Professor, CS at UCF | Uncertainty Quantification https://alisiahkoohi.github.io/

@kareemyousrii.bsky.social

Postdoc @ University of California, Irvine | PhD from CS@UCLA Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models kareemahmed.com

@glouppe.bsky.social

AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.

@ianholmes.org

Berkeley professor (Bioeng, Compbio). Visiting Scientist at Calico. JBrowse genome browser / Apollo annotation editor, ML for gene regulation / molecular evolution / synbio.

@jameshensman.bsky.social

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