PhD student in AutoML @ University of Tübingen
Data Scientist @ Mass General, Beth Israel, Broad | Clinical Research | Automated Interpretable Machine Learning, Evolutionary Algorithms | UPenn MSE Bioengineering, Oberlin BA Computer Science
Professor for Secure Software Engineering at Universität Stuttgart
🏳️🌈💻🎓
https://benhermann.eu
https://sse.cs.tu-dortmund.de
Forschung, News, Events – frisch vom Campus der Technischen Universität Dortmund #tudo
Impressum: www.tu-dortmund.de/impressum
@Lamarr Institute for Machine Learning and Artificial Intelligence
Sharing insights, news, and findings from the web
https://lamarr-institute.org/
I am leading a research group on Trustworthy Machine Learning at the Institute for AI in Medicine, located at Ruhr-University Bochum.
Master’s student in Machine Learning at University of Tübingen.
Research Scientist @ CONTACT Software working on tabular data.
Postdoc at CWI. Interested in Evolutionary Computation, Algorithm Selection, Multi-Objective Optimisation, etc.
Professor for Machine Learning, University of Tübingen, Germany
PostDoc @ Uni Tübingen
explainable AI, causality
gunnarkoenig.com
PhD student in Bayesian optimization at Lund University | https://leonard.papenmeier.io/
Prof, Chair for AI & Computational Linguistics,
Head of MaiNLP lab @mainlp.bsky.social, LMU Munich
Co-director CIS @cislmu.bsky.social
Visiting Prof ITU Copenhagen @itu.dk
ELLIS Fellow @ellis.eu
Vice-President ACL
PI MCML @munichcenterml.bsky.social
Senior Lecturer @ LMU Munich
Lead Machine Learning Consulting Unit @ Munich Center for Machine Learning
#NLProc professor @cs-tudarmstadt.bsky.social @tuda.bsky.social #MBZUAI #INSAIT | Co-Founder @hessianai.bsky.social | @ellis.eu | @athenecenter.bsky.social | @emergencity.de | @leopoldina.org
The nonprofit organization behind the Python programming language. For help with Python code: http://python.org/about/help/
On Mastodon: @ThePSF@fosstodon.org
A project of The Center For Scientific Integrity https://centerforscientificintegrity.org/
Daily newsletter http://eepurl.com/bNRlUn
Database http://retractiondatabase.org
Tips team@retractionwatch.com (better than @ replies)
PostDoc @ LMU Munich
Group Leader CausalFairML
Munich Center for Machine Learning (MCML)
Postdoc | #NLProc researcher | @slds-lmu.bsky.social | @munichcenterml.bsky.social | @berd-nfdi.bsky.social
https://www.slds.stat.uni-muenchen.de
Connecting NLP enthusiasts in Munich and beyond!
https://munich-nlp.com/
Join 👉 discord.gg/Ny9PG36NRw
Die DFG ist die größte Forschungsförderorganisation und die Selbstverwaltungsorganisation der Wissenschaft in Deutschland.
www.dfg.de
Impressum: https://www.dfg.de/de/service/kontakt/impressum
Social Media-Netiquette: https://www.dfg.de/de/service/presse
Senior Lecturer and Researcher @LMU_Muenchen working on #ExplainableAI / #interpretableML and #OpenML
Research in #ComputerVision , #MachineLearning, #HPC and #Geophysics
https://www.keuper-labs.org/
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 🖺
PostDoc@University of Siegen in Machine Learning and Computer Vision
Postdoc in machine learning at the University of Edinburgh
(Ellis) PhD student at LMU
Munich. Interested in causal machine learning and reinforcement learning
Author of AutoGluon: auto.gluon.ai
Senior Applied Scientist @ AWS AI
#opensource #automl
Women+ in Machine Learning & Data Science (WiMLDS) Org. | meetup community of women & non-binary folks | Est 2013 👩🏿💻👩💻👩🏽💻 #GenderEquality #Inclusion
https://wimlds.org
since 2017, advancing open science at LMU University in Munich and beyond.
managing director: Felix Schoenbrodt @nicebread.bsky.social
scientific coordinator: Malika Ihle @malikaihle.bsky.social
student assistant: E. Waterfield @bethwater.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
PhD student in Statistics @LMU Munich & MCML, interested in statistics, machine learning, reproducibility, and meta-science
Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.
Research group leader at LMU Munich and MCML on ML, NLP & HCI. Also experimenting with lemonade that glows in the dark 🥤 (he/him)
Professor for ML and AI at Lamarr Institute / @tu-dortmund.de. Working on AutoML and Tabular Data. All opinions are my own.
Official account for International Conference on Automated Machine Learning. #AutoML26 Ljubljana, Slovenia
Talking about all things AutoML.
Full episode list: https://automlpodcast.com/
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
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/
[bridged from https://blog.neurips.cc/ on the web: https://fed.brid.gy/web/blog.neurips.cc ]
http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats
statistics, science, software
https://www.zeileis.org/
Academy Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer.
Web page https://users.aalto.fi/~ave/
AI @ OpenAI, Tesla, Stanford
Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse.
Former: Google, Microsoft; Current: Hugging Face
Mathematician, Statistician, Programmer. Prof at LMU Munich
PhD student @LUH-AI
Researching the utilization of LLMs for AutoML.
He/him and they/them are both fine.
Opinions are my own :)
The MCML is a joint research initiative of LMU München and TU München. It is institutionally funded by the Federal Ministry of Education and Research and the Free State of Bavaria.
Institute of AI at Leibniz University Hannover led by Marius Lindauer and Henning Wachsmuth
https://www.ai.uni-hannover.de/en/
Chair, Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles. Director, Center for Artificial Intelligence Research & Education. Atari enthusiast. Retrocomputing. Maker.
I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
AI x storytelling
AI Engineering: https://amazon.com/dp/1098166302
Designing ML Systems: http://amazon.com/dp/1098107969
@chipro
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
Faculty Fellow and Assistant Professor at
NYU's Center of Data Science
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Researcher in machine learning
Associate Professor at MIT EECS, LIDS.
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
Machine learning in Python • Open Source
https://scikit-learn.org
Staff research scientist at Google DeepMind. AI and neuro.
Former physicist, current human.
Find more at www.janexwang.com
CTO, AI at SAP - #foundationmodel #linkedbusinessdata #knowledgegraph #nlp #ai - www.hoffart.ai
Chief Scientist @ Distributional.com @dbnlAI.bsky.social #MLSky #StatSky
Founder @ datascientific.com
Founder wimlds.org & co-founder rladies.org
PhD @ UC Berkeley
🏡 🌈 Oakland, California.
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.
RL researcher looking for DACs // What is this AutoRL anyway?
she/her
Currently: Leibniz Uni Hannover
Previously: Uni Freiburg (Master's) | Meta AI London (Intern)
Always & Forever: AutoRL.org
Subgroup Lead at the University of Freiburg researching generalizability of RL and Automated RL
PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL
amsks.github.io
MCML PhD student @ LMU Munich
Working on causal & fair ML
Interested in social science and the book of why
He/him
Machine Learning Researcher, @LMU Munich, MCML
Interested in probabilistic deep learning, generative models, and trustworthy ML.
minare.github.io
PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
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.
Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
PhD candidate at LMU Munich | Munich Center for Machine Learning (MCML) | https://sandylaker.github.io |
Open to work.
RS at Google DeepMind and Honorary Lecturer at UCL. Building general world models to solve AGI :)
Junior research group leader at TUM | University of Tübingen. Currently at BAIR (Berkeley). Previously at VGG (Oxford). Interested in multi-modal learning.
🔗 https://akoepke.github.io/
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
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.
