🚨 #VAMoH is available! 🚨 Exciting news! 🥳 Our latest paper “Variational Mixture of HyperGenerators for learning distributions over functions” is now on ArXiv. Link: arxiv.org/abs/2302.06223 Pablo Sánchez Ignacio Peis Pablo M. Olmos Isabel Valera #GenerativeModeling 🧵(1/n)

Time to re-tweet. I will be in Hawaii for #ICML2023 to present our latest work VaMoH. Hit me up if you want to discuss, connect, and collaborate! 🏄🌴💻

Today antonio vergari - hiring PhD students guides us to #probabilistic #circuit land at #ESSAI!

Looking for a new job? ELSA Communication Manager (m/f/x) As part of the ELSA project office, you will be the main contact, both internally and externally, for all press-related topics. More info: jobs.cispa.de/scientific-sup…

totally agree

🚀 Exciting update! The code accompanying our paper is now available! 🔍 Dive into the details and explore the repository at: github.com/psanch21/causa…

📢 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 Image and Signal Processing • ISP 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 Thomas Euler