Following

@dholzmueller.bsky.social

Mario Kddb @mario-kddb.bsky.social PhD Student on Foundation Models in Microscopy @HTW-Berlin
@salihboraozturk.bsky.social @salihboraozturk.bsky.social
Conor Hassan @conorhassan.bsky.social ML research and engineering conorhassan.com
Luigi Acerbi @lacerbi.bsky.social Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki - Finnish Centre for AI - ELLIS Institute Finland | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Christian Fiedler @christianfiedler.bsky.social Postdoc (Machine Learning | Control | Applied Math) at Technical University of Munich (TUM) and Munich Center for Machine Learning (MCML)
@klein-aaron.bsky.social @klein-aaron.bsky.social
Suprabhath Kalahasti @suprabhathk.bsky.social PhD Candidate (Lab : https://www.evmodelers.org/) | Infectious Disease Modelling | L'école doctorale Pierre Louis de Santé Publique | Sorbonne Centre for Artificial Intelligence (SCAI) Combining #deeplearning with mathematical models of infectious diseas
@jakemrobertson.bsky.social @jakemrobertson.bsky.social
@noah-holl.bsky.social @noah-holl.bsky.social
Thomas Nagler @tnagler.bsky.social Mathematician, Statistician, Programmer. Prof at LMU Munich
UniStuttgartAI @unistuttgartai.bsky.social Official Bluesky account of the Institute for Artificial Intelligence, University of Stuttgart. The aim of the newly founded institute is to research fundamental questions about AI, to reflect on the benefits for society and to promote the transfer of AI.
AlgoPerf @algoperf.bsky.social AlgoPerf benchmark for faster neural network training via better training algorithms
Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social https://www.slds.stat.uni-muenchen.de
Arik Reuter @arikreuter.bsky.social University of Cambridge and Max Planck Institute for Intelligent Systems I'm interested in amortized inference/PFNs/in-context learning for challenging probabilistic and causal problems. https://arikreuter.github.io/
Krunoslav Lehman Pavasovic @krunolp.bsky.social PhD @Meta & @ENSParis. Diffusion Models, Flow Matching, High-Dimensional Statistics.
@gaspardbb.bsky.social @gaspardbb.bsky.social
Fabian Gloeckle @fabiangloeckle.bsky.social PhD student at FAIR at Meta and Ecole des Ponts with @syhw and @Amaury_Hayat, co-supervised by @wtgowers. Machine learning for mathematics and programming.
Mathieu Dagréou @matdag.bsky.social Postdoc at Inria working on optimization and machine learning. Website: https://matdag.github.io/
Sacho @potosacho.bsky.social PhD student in machine learning with Francis Bach & Michael I. Jordan: uncertainty quantification, learning theory. https://elsacho.github.io
Steffen Staab @ststaab.bsky.social Prof for AI. Interested in knowledge graphs, ML with background knowledge, Web science, AI Ethics
Wikitoria.de @wikitoria-de.bsky.social PhD Chemistry & SimTech (Uni Stuttgart). Freetime fungi hunter, calisthenics, urbex, and bouldering.
Katharina Eggensperger @keggensperger.bsky.social Professor for ML and AI at Lamarr Institute / @tu-dortmund.de. Working on AutoML and Tabular Data. All opinions are my own.
Rob Romijnders @robrom.bsky.social
David Rügamer @davidruegamer.bsky.social Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL Theory (Overparam, Optim), Sparsity, TabFMs
Transactions on Machine Learning Research @tmlrorg.bsky.social Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research https://jmlr.org/tmlr/
Lotta Meijerink @lottameijerink.bsky.social PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction
ICML Conference @icmlconf.bsky.social Official account of ICML
Nick Erickson @nickerickson.bsky.social Author of AutoGluon: auto.gluon.ai Senior Applied Scientist @ AWS AI #opensource #automl
Guy Moss @gmoss13.bsky.social PhD student at @mackelab.bsky.social - machine learning & geoscience.
Julius Vetter @vetterj.bsky.social PhD student at @mackelab.bsky.social
@tommoral.bsky.social @tommoral.bsky.social
Federico Errica @federico-errica.bsky.social Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
Bálint Mucsányi @bmucsanyi.bsky.social ELLIS & IMPRS-IS PhD Student at the University of Tübingen. Excited about uncertainty quantification, weight spaces, and deep learning theory.
Johannes Zenn @johanneszenn.bsky.social PhD Student in Machine Learning at Max-Planck Institute for Intelligent Systems and @unituebingen.bsky.social, @tuebingen-ai.bsky.social, IMPRS-IS; previously intern @vectorinstitute.ai; jzenn.github.io
Daniel Musekamp @danielmusekamp.bsky.social PhD student @ University of Stuttgart
Universität Stuttgart @unistuttgart.bsky.social Intelligente Systeme für eine zukunftsfähige Gesellschaft. Aktuelles aus der #UniStuttgart https://www.uni-stuttgart.de/impressum/
COSMO Lab @labcosmo.bsky.social Computational Science and Modelling of materials and molecules at the atomic-scale, with machine learning.
Johannes Brandstetter @jobrandstetter.bsky.social Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
Johannes Kästner @johanneskaestner.bsky.social Computational chemistry professor at @unistuttgart.bsky.social simulating reaction mechanisms, atom tunneling, astrochemistry, MachineLearning. https://www.uni-stuttgart.de/theochem/kaestner
Viktor Zaverkin @viktorzaverkin.bsky.social Research Scientist @ NEC Labs Europe, Ph.D. in Theoretical Chemistry @ SimTech & @unistuttgart.bsky.social, ML/DL for Chemistry & Materials Science
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Maxime Haddouche @maximehaddouche.bsky.social Postdoctoral researcher at SIERRA (Inria Paris) in ML/Learning Theory.
ML for Science @ml4science.bsky.social Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
Leena C Vankadara @leenacvankadara.bsky.social Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen
Lucas Beyer (bl16) @giffmana.ai Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Steffen Grünewälder @sg66.bsky.social Reader in ML/Statistics at the Department of Mathematics, University of York, UK
Julian Lienen @julilien.bsky.social Interested in weakly-supervised learning and AutoML, on a journey to bring ML into industrial production. 🇪🇺
@atschalz.bsky.social @atschalz.bsky.social
Jovan Stojanovic @jovanstojanovic.bsky.social
jeremy @jeremybernste.in
Henry Gouk @handle.invalid Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴󠁧󠁢󠁳󠁣󠁴󠁿. Working on Verifiable AI. henrygouk.com
Marco Spinaci @marcospinaci.bsky.social
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Joaquin Vanschoren @joavanschoren.bsky.social Building AI systems that learn how to learn, grow and adapt continuously, and push humanity forward. Continual learning, meta-learning, open-endedness. Group Lead at TU Eindhoven, Founder of OpenML, NeurIPS D&B Track.
Matthias Feurer @matthiasfeurer.bsky.social Assistant Professor "AutoML and Optimization" @ Lamarr institute and @tu-dortmund.bsky.social. Working on #AutoML, #HPO, #TabularData #OpenML #Benchmarking | https://matthiasfeurer.de | https://automl.cs.tu-dortmund.de
scikit-learn @scikit-learn.org Machine learning in Python • Open Source https://scikit-learn.org
Rex "garbage in" Douglass @rexdouglass.bsky.social Applied Scientist in Industry. Previously UCSD. Princeton PhD. Follow me for recreational methods trash talk. www.rexdouglass.com
@viviencabannes.bsky.social @viviencabannes.bsky.social
Gabriel Peyré @gabrielpeyre.bsky.social CNRS researcher at ENS
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Fabian Schaipp @fschaipp.bsky.social Researcher in Optimization for ML at Inria Paris. Previously at TU Munich. https://fabian-sp.github.io/
Vincent D. Warmerdam @koaning.bsky.social Prefer common sense over hype. Employed at @marimo.io, known for calmcode.io and koaning.io. Also working on remember.cards these days.
Sofya Dymchenko @sofyadym.bsky.social AI4Science | PhD student at INRIA Grenoble, France
Konstantin Mishchenko @konstmish.bsky.social Research Scientist at Meta Paris Code generation, math, optimization
Moritz Haas @mohaas.bsky.social IMPRS-IS PhD student @ University of Tübingen with Ulrike von Luxburg and Bedartha Goswami. Mostly thinking about deep learning theory. Also interested in ML for climate science. mohawastaken.github.io
Tycho van der Ouderaa @tychovdo.bsky.social Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor https://cims.nyu.edu/~andrewgw
Samuel Müller @sammuller.bsky.social (Tab)PFNs, TrivialAugment etc.
Sam Power @spmontecarlo.bsky.social Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
Vincent Maladiere @maggle.bsky.social Open source @Probabl.ai | skrub developer | interested in ML, survival analysis, causal inference, and data wrangling
Nathanael Bosch @nathanaelbosch.de Postdoc at EPFL working on Bayesian optimization for inverse materials design. Interested in probabilistic numerics, Bayesian optimization, Gaussian processes, state-space models, differential equations, and Bayesian ML. nathanaelbosch.github.io
Stephan Rasp @raspstephan.bsky.social
Alex Immer @aleximmer.bsky.social Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP. aleximmer.github.io
@arlindkadra.bsky.social @arlindkadra.bsky.social
Calvin McCarter @calvinmccarter.bsky.social calvinmccarter.com
Skrub @skrub-data.bsky.social skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning. Our long-term goal is to directly connect database tables to machine learning estimators. https://skrub-data.org https://discord.gg/ABaPnm7fDC
Michael Kirchhof @mkirchhof.bsky.social RS on uncertainty quantification for agents at Apple
Frank Schneider @fsschneider.bsky.social Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
Sascha Marton @smarton.bsky.social Machine Learning Researcher & PhD Candidate @ University of Mannheim
Parameter Lab @parameterlab.bsky.social Empowering individuals and organisations to safely use foundational AI models. https://parameterlab.de
Philipp Hennig @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.
Akim Kotelnikov @rotot0.bsky.social DL researcher at Yandex.Research | TabDDPM, TabM, TabR akim.omg.lol
Mathias Niepert @mniepert.bsky.social Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
Ambroise Odonnat @ambroiseodt.bsky.social Ph.D. student in Machine Learning at Inria. Website: https://ambroiseodt.github.io/ Blog: https://logb-research.github.io
Andrei Manolache @amanolache.bsky.social ELLIS PhD Student @ IMPRS-IS/Uni Stuttgart; ML Research @ Bitdefender | https://andreimano.github.io/
Table Representation Learning research @trl-research.bsky.social Updates on community and events, such as the TRL workshop at NeurIPS 2024 and ACL 2025. Info: https://table-representation-learning.github.io/
Judith Abécassis @judithabk6.bsky.social Researcher at Inria Saclay, team Soda working on machine learning and causal inference for health data
Till Richter @richtertill.bsky.social Machine Learning for Computational Biology | PhD Student @ TUM, Helmholtz Munich with Fabian Theis, Niki Kilbertus
Lennart Purucker @lennartpurucker.bsky.social PhD student sup. by Frank Hutter; researching automated machine learning and foundation models for (small) tabular data! Website: https://ml.informatik.uni-freiburg.de/profile/purucker/
Eugene Berta @eberta.bsky.social PhD student at INRIA Paris. Working on calibration of machine learning classifiers.
@leogrin.bsky.social @leogrin.bsky.social
Oleksandr Shchur @oleksandr-shchur.bsky.social Applied Scientist at AWS working on auto.gluon.ai Machine learning, time series forecasting
@wellingmax.bsky.social @wellingmax.bsky.social
Seong Joon Oh @coallaoh.bsky.social Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
Maximilian Müller @muellermp.bsky.social ELLIS PhD Student in ML at the University of Tübingen.
Sarah Sachs @sarahcsachs.bsky.social Lecturer at the University of Bristol. Interested in optimization, game theory and learning theory.
Elisa Nguyen @elinguyen.bsky.social PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and prev. Viva con Agua elisanguyen.github.io prev. intern at Vector Institute, MSR DL
Michael Deistler @deismic.bsky.social Machine Learning tools for neuroscience @mackelab.bsky.social.
Claire Vernade @claireve.bsky.social Professor at UT Nuremberg, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.