AutoML.org @AutoML_org
research groups on Automated Machine Learning automl.org Freiburg & Hannover & Tübingen Joined August 2016-
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AutoML in the weights of a neural network.
This might be the first time after 10 years that boosted trees are not the best default choice when working with data in tables. Instead a pre-trained neural network is, the new TabPFN, as we just published in Nature 🎉
The data science revolution is getting closer. TabPFN v2 is published in Nature: nature.com/articles/s4158… On tabular classification with up to 10k data points & 500 features, in 2.8s TabPFN on average outperforms all other methods, even when tuning them for up to 4 hours🧵1/19
We are elated to introduce our most recent work on time-series foundation models - Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models. Authors: @o_swelam, Sathya Kamesh, @julien_siems, David Salinas, @FrankRHutter Link: arxiv.org/abs/2410.09385
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Forget my earlier post, this is the cool one! :) Analysis of STATE TRACKING capabilities of "linear RNNs" (GLA, MAMBA, mLSTM). P: arxiv.org/abs/2411.12537
Excited to share our work on this simple yet powerful method for linear RNNs like Mamba or DeltaNet to track states without increasing computational complexity. From @PontilGroup and @FrankRHutter's group
LLMs can now track states, finally matching this cat! And we prove it. But how? 🧵👇 1/ Paper: arxiv.org/abs/2411.12537 with @julien_siems @jkhfranke @ZelaArber @FrankRHutter @MPontil
This work was done jointly by @JakeMRobertson under the supervision of the wonderful @NoorAwad and @FrankRHutter. Link to paper: arxiv.org/abs/2410.13286 Blog post: automl.org/manyfairhpo-a-… #AI #FairnessInAI #MachineLearning #EthicsInAI #ACM #ManyFairHPO
ManyFairHPO helps practitioners navigate fairness metric trade-offs, assess conflicts, and make context-aware model selections amidst nuanced fairness dilemmas. Join us for an engaging discussion on October 22nd at the AAAI/ACM AI Ethics and Society Conference in San Jose!
When it comes to fairness in AI, "fair" can mean different things to different people. We saw this challenge as an opportunity to innovate! 🌟 Introducing ManyFairHPO: a human-in-the-loop optimization framework!
Transformers perform remarkable generalizations in the in-context learning setting. E.g. when trained only on step functions, the model generalizes to smooth predictions when given a smooth input. (1/n, a paper thread)
What a great pleasure it was to host the @automl_conf here in Paris this week. Big shoutout to all co-organizers and in particular to the amazing @ElenaRaponi_ @anjajankovic Simon Provost and to the online chairs Gabi Kadlecová and @AndreBiedenkapp See you in NYC next year 😃
We have another opening for a PhD in AutoML @LMU_Muenchen. Apply now at job-portal.lmu.de/jobposting/ba1… #PhD #MachineLearning #Statistics #DataScience #AutoML
In less than a month, the AutoML Conference 2024 will be in Paris. I don't think that we can quite compete with the #Olympics, but we will give our best ;-)
Let's make ML fairer for everyone! 🤖⚖️ Link to paper: arxiv.org/abs/2407.05732… @JakeMRobertson @noahholl @__NoorAwad__ @FrankRHutter #AI #Fairness #CausalInference #Transformers #MLResearch
Our experiments show some promising results, paving the way transformers in causal and counterfactual fairness with exciting applications to law, healthcare, and finance, as well as extensions to fairness pre-processing, path-specific effects, and multi-objective optimization.
🌟 Excited to share our latest work on counterfactual fairness in #MachineLearning at the ICML Workshop on Next Gen. AI Safety in Vienna 🌟 We introduce FairPFN, a transformer trained on synthetic data to remove gender, age, and racial bias in -sensitive real-world ML problems.
In #Vienna for #ICML2024 to present our latest work! With @_herilalaina_, @StAdriaensen, @karibbov, @Edberg_Wardman, and @FrankRHutter, we introduce, ifBO: In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization.
Joint work with @LindauerMarius, Florian Karl, Julia Moosbauer, @ATornede, @amuellerml, @FrankRHutter and @BBischl
📝In the meantime you can also read a short summary blog post at automl.org/position-a-cal… or watch a video summary at youtube.com/watch?v=17lH-f… 🎥 2/3
Wondering how humans should be involved in designing #AutoML solutions 🤔? Check out our #ICML2024 paper: "Position: A Call to Action for a Human-Centered AutoML Paradigm"! 📄✨ proceedings.mlr.press/v235/lindauer2… Drop by at our poster on Thu, Jul 25 at 11:30 AM in Hall C 4-9 #2003 📅 1/3
Frank Hutter @FrankRHutter
7K Followers 63 Following Founder of @Prior_Labs, Prof of #machinelearning at ELLIS Institute Tübingen & Uni Freiburg, 3x ERC Grant holder, EurAI & ELLIS fellow. All opinions are my own.
CarolaDoerr @CarolaDoerr19
954 Followers 392 Following CNRS research director at LIP6, Sorbonne University, Paris. Interested in black-box optimization (theory, benchmarking, and applications)
Joaquin Vanschoren @joavanschoren
3K Followers 1K Following AI Researcher, @open_ml founder, research lead @TUeindhoven. Building AI systems that learn how to learn, grow and adapt continuously & push humanity forward.
AutoML Conference @automl_conf
736 Followers 9 Following Official account for International Conference on Automated Machine Learning. #AutoML26 Ljubljana, Slovenia
Tome Eftimov @TomeEftimov
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Samuel Müller @SamuelMullr
1K Followers 439 Following Datadog Post-Training and advising at PriorLabs. Ex-Meta, Ex-DeepL, Ex-Amazon. ETH BSc, Cambridge MPhil, PhD from Freiburg. Opinions are my own. (he/him)
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Thomas Bartz-Beielste... @bartzbeielstein
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Ahmed Salah @adamagain25
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Jaqueline Fernandes @jakesilfe
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emf @blackcurawong
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1.2M Followers 786 Following Professor at NYU & Executive Chairman at AMI Labs. Ex-Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
Frank Hutter @FrankRHutter
7K Followers 63 Following Founder of @Prior_Labs, Prof of #machinelearning at ELLIS Institute Tübingen & Uni Freiburg, 3x ERC Grant holder, EurAI & ELLIS fellow. All opinions are my own.
Joaquin Vanschoren @joavanschoren
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PyTorch @PyTorch
498K Followers 86 Following Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation
AutoML Conference @automl_conf
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317K Followers 7K Following 🇦🇺 Co-founder: @AnswerDotAI/@FastDotAI ; Prev: Professor@UQ; @kaggle founding president; founder @fastmail/@enlitic/… https://t.co/16UBFTX7mo
Jeff Dean @JeffDean
444K Followers 6K Following Chief Scientist, Google DeepMind & Google Research. Gemini Lead. Opinions stated here are my own, not those of Google. TensorFlow, MapReduce, Bigtable, ...
Zachary Lipton @zacharylipton
66K Followers 2K Following Professor: CMU/@acmi_lab, Cofounder: @AbridgeHQ, Creator: @d2l_ai & https://t.co/QQt98VNLUp, Relapsing 🎷
Jean de Dieu Nyandwi @Jeande_d
49K Followers 1K Following Incoming CS PhD @CarnegieMellon • Multimodal NLP, Data, Evals, Human + AI • CMU MS '24. Blog: https://t.co/1BEFLZAY3F ML: https://t.co/7PkTyDw2gQ
Thomas G. Dietterich @tdietterich
62K Followers 651 Following University Distinguished Professor (Emeritus), Oregon State Univ.; Former President, AAAI; Currently Chair CS Section of ArXiv
Thomas Bartz-Beielste... @bartzbeielstein
892 Followers 1K Following Director Institute IDE+A: #DataScience, Engineering, and Analytics. Prof. #AppliedMath #Hyperparameter #Optimization #MachineLearning #AI. Views are my own
Alexander Tornede @ATornede
228 Followers 169 Following AutoML Engineer @Beckhoff. Ex-PostDoc @AIHannover @UniHannover and @AutoML_org. Opinions are mine.
AutoML Cup @AutoML_Cup
55 Followers 204 Following The AutoML Cup is an automated machine learning competition with a focus on diverse machine learning tasks and data settings — part of the @automl_conf 2023.
Tanja Tornede @TanjaTornede
134 Followers 93 Following PhD student: #GreenAutoML , #AutoML for #RemainingUsefulLifetime estimation, #PyExperimenter . All opinions are my own.
Aditya Mohan @amsks96
306 Followers 800 Following PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL Previously: @AmazonScience @awscloud
Eleni Triantafillou @Eleni30fillou
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Cyber Valley @Cyber_Valley
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Jörg Franke @jkhfranke
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Fábio Ferreira @artificialfabio
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ELLIS @ELLISforEurope
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Jeff Clune @jeffclune
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ICML Conference @icmlconf
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Prof. Barry O'Sulliva... @BarryOSullivan
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ChaLearn @ChaLearn_org
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potassco @potassco
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Luigi Nardi @luiginardi
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