🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📢 ELLIS PhD Program is opening applications this fall. Join Europe's leading initiative in #ML research 🎓🤖🌍 📅 Application Deadline: November 15 Find out more: ellis.eu/news/ellis-phd… Good luck to all future ML pioneers! 🚀 #ELLISPhD #JoinELLISforEurope

Causal normalizing flows have made it to the big stage of #NeurIPS2023 as an oral presentation! 🎤✨ Looking forward to see you all in New Orleans! 🥳

🚀 Exciting News! Our paper has been accepted for **Oral Presentation** at #NeurIPS2023 I'm grateful for the incredible team that made this possible Adrián Javaloy Isabel Valera 🙏

💡Note the deadline and apply for excellent PhD Programs on #AI in Europe ELLIS In #València ISP • Image and Signal Processing we opened PhD positions to advance #ML for Earth and Climate Sciences. 🌍🤖🌧️🛰️🌞🌊🌲#foundationmodel #emulation #xai #deeplearning #causality #sensors #satellites

Grateful and honored to have been awarded the Google AI PhD Fellowship in Machine Learning 2023. A heartfelt thank you to my advisor Isabel Valera and @Saar_uni as well as my mentors on the way. Excited to continue working on fairness under feedback loops.

We are hiring!!! If you are interested in a robust and trustworthy development of ML aligned with societal values and needs, apply and join myself and my group as PhD student!! More info about the group and available positions here: machinelearning.uni-saarland.de

"Would jetlag persist if I'd slept during the flight to #NeurIPS2023?" 🛫 If you're into answering such questions and are into #Causality, don't miss this today: - Oral presentation by Adrián Javaloy at 16.25 in Room R02-R05 - Poster presentation 17.15-19.15 at Poster #822

What's the best bias/variance tradeoff for your training tasks when you're metalearning? Find out on Saturday at the poster session, 11am-12pm, at the Mathematics of Modern Machine Learning workshop #NeurIPS2023 Michael Li, Dimitri Meunier, Samory Kpotufe

Thanks to everyone who attended my oral! ❤️ Yesterday, my slides had a nostalgic sepia hue (remember to disable night color, folks 😂). If you want to check the white-version instead, you can now get them here: adrianjav.github.io/uploads/causal…

even more impressive if you look at the stats more closely: 20 over 67 (almost 1/3!) oral presentations at NeurIPS Conference are coming from ELLIS members! and getting an oral is extremely hard (top 0.6% of al papers at #NeurIPS2023!)

Join us! If you are interested in neurosymbolic models, and also e.g. combinations of neural networks with, e.g., physics-informed or causal models, apply!

RTs appreciated! 🙏 🚀 I'm looking to hire a PhD student in optimal transport and robust ML. Inquiry (via email with a CV) welcome Learn more: jj-zhu.github.io/phd_2/ #PhDPosition #MachineLearning #OptimalTransport

🚀 Excited to share our latest work at the Structured Probabilistic Inference & Generative Modeling Workshop #ICML2024! We've worked on efficiency in time series forecasting with our new model, Efficient Probabilistic Transformers. Let's dive into the details! 🧵⬇️ Isabel Valera

Having limited data to build a neural predictive model? Try Bayes, and you can get the uncertainty of the derived neuronal preference. See our work on #PLOSCompBio: doi.org/10.1371/journa…. Thank you so much for the great team!! Nan Wu Isabel Valera sinzlab Alexander Ecker @teulerlab

Now hiring: Twelve (!) PhD students to start in fall 2025, for research on combining neural and symbolic/interpretable models of language, vision, and action. Work with world-class advisors at Universität Saarland, MPI Informatics, MPI-SWS, @CISPA, DFKI. Details: neuroexplicit.org/jobs

I will be hiring PhD students via ELLIS on multi-objective ML, causal generative models, and fair and interpretable ML. If interested, apply to our probabilistic ML: machinelearning.uni-saarland.de

Join us to develop ground-breaking deep learning models informed by explicit (e.g., causal or symbolic) knowledge!

I'm very excited to share our perspective on Network Fairness, where we challenge the concept of social capital & propose its inclusion in measuring fairness & other moral goals. Also, very much looking forward to reconnecting with old friends and meeting new ones in Budapest!

Please spread the word! Our “I Can’t Believe It’s Not Better” #ICLR2025 workshop is now accepting submissions on unexpected results in applied #DeepLearning. Share your tough lessons and unexpected outcomes by Feb 3, 2025. More info: shorturl.at/TkFBf

Don't hesitate, apply!