Pablo Sánchez
@ML_pablosm
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Research Scientist @SonyAI_global. Previously @MPI_IS @SIC_Saar @uc3m.
Joined September 2011
👀 Curious about how to answering causal queries of mixed-type data? 🎯 Don't miss our latest work! We provide an answer to such question and much much more! 🧵Check out the amazing thread by @javaloyML
#NormalizingFlows #CausalInference
Hi! I am happy to announce our latest work (with @ML_pablosm and @IValeraM) ... 🥁 🚨 Causal normalizing flows: from theory to practice 🚨 I am really excited about this work! Check this image, and scroll down if you want to know more 👀 1/10
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If you are interested, have a look at https://t.co/wVNlPEEF50 and at Research Topic B1 in
unibz.it
We train future scientists with a strong professional background capable of working in the international and highly competitive IT sector.
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Looking for a fully-funded #PhD in #AI for #Science? 🔍🤖 Join our team at #SonyAI and explore the synergy between #KnowledgeGraphs, #Ontologies, and #MachineLearning, with real-world #Biomedical applications 💡🧬
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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
The Machine Learning group at Saarland University is led by Professor Isabel Valera, and focuses on fair, interpretable and trustworthy algorithms.
The #ELLISPhD application portal is now open! Apply to top #AI labs & supervisors in Europe with a single application, and choose from different areas & tracks. The call for applications: https://t.co/og6xzr14tj Deadline: 15 November 2024 #PhD #PhDProgram #MachineLearning #ML
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@IValeraM pointing out how many open questions there are in causal and ethical machine learning 🤩. “We can’t have a technology whose capabilities advance fast without similar speed in advances in responsible ai”. #DLI2024 #Indaba2024 #xamxamle 🌍
Day 2 is kicking off with Opening Remarks from our amazing general chairs and partners and our first keynote “Causethical ML: from theory to practice “ with @IValeraM ! 🔥 Make sure to join our live streaming 👉 https://t.co/4ciGbWVRYX
#DLI2024
#Indaba2024
#XamXamlé
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One more! Our new paper for stress prediction in real-life settings is in Machine Learning for Life and Material Science Workshop #ICML2024! We present Multi-level Stress Predictor (MuStP), details are below! 🧵⬇️ @IValeraM @adilankiran
https://t.co/WmVyRTnJmt
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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!
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Dear all, I am looking for submission venues/journals to submit work on Machine Learning Applications in Mental Health - Stress - Psychiatry. Any ideas? (please don't say Neurips...)
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Check @AleksanderMolak's post for an easy-to-read summary of causality works at #NeurIPS2023 And thanks for featuring our work! ☺️
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"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 @javaloyML at 16.25 in Room R02-R05 - Poster presentation 17.15-19.15 at Poster #822
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Interested in evaluation of #ExplainableAI method for #KnowledgeGraphs? Then, I invite you to pass by the Sony booth (Hall C&D, Booth#331) @ #NeurIPS2023 at 9.45AM! I'll be sharing a quick 10min introduction :D
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Happy to share that I'm attending #NeurIPS2023 next week! I'll be presenting two works: 1️⃣ On #Causality (Oral): [See 🧵] 2️⃣ On #Interpretability in #KnowledgeGraphs (XAI workshop): https://t.co/1D4YMhO68B Let's connect! Can't wait to meet some fellow AI enthusiasts! 🤖💡🤝
openreview.net
Research on knowledge graph completion (KGC)---i.e., link prediction within incomplete KGs---is witnessing significant growth in popularity. Recently, KGC using KG embedding (KGE) models, primarily...
Hi! I am happy to announce our latest work (with @ML_pablosm and @IValeraM) ... 🥁 🚨 Causal normalizing flows: from theory to practice 🚨 I am really excited about this work! Check this image, and scroll down if you want to know more 👀 1/10
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Next week I will be attending #NeurIPS2023 to present our oral: Causal Normalizing Flows! If you want to talk and discuss over a coffee, feel free to reach me out. I am graduating soon too, so if you are hiring let's get in touch! https://t.co/KrflPqADXC
Hi! I am happy to announce our latest work (with @ML_pablosm and @IValeraM) ... 🥁 🚨 Causal normalizing flows: from theory to practice 🚨 I am really excited about this work! Check this image, and scroll down if you want to know more 👀 1/10
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#hiring!🔮Positions open for: ⚛️Energy-materials design @ERC_Research
https://t.co/JXOnqh2kUL 🫧 Adv. water electrolysis & scale-up https://t.co/oA6RwY3NFj 🧪C/N coelectrolysis @EUeic
https://t.co/DH1M1IypQb 🖥️Green-neuromorphic computing https://t.co/UrINx00q4D
#academicjobs
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Exciting news! Join an outstanding research team led by my incredible PhD advisor. I've grown immensely under her supervision. Don't miss this opportunity to learn and contribute to AI research. Apply now! 🚀
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:
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I will be hiring through #ELLIS this year: 3 fully-funded PhD positions for troublemakers in #ML #AI who want to design the next gen of #probabilistic #models and #programs that are provably #reliable and #efficient Join https://t.co/0zZpeXUgZ4
@InfAtEd Email me! Please share!
The portal is open: Our #ELLISPhD Program is now accepting applications! Apply by November 15 to work with leading #AI labs across Europe and choose your advisors among 200 top #machinelearning researchers! #JoinELLISforEurope #PhD #PhDProgram #ML
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Join our IMPRS-IS PhD program - a partnership with @uni_stuttgart & @uni_tue! Application deadline Nov 15, 2023. Apply at https://t.co/veVpmjl215
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🚀 Exciting News! Our paper has been accepted for **Oral Presentation** at #NeurIPS2023 I'm grateful for the incredible team that made this possible @javaloyML @IValeraM 🙏
🚀 Exciting update! The code accompanying our paper is now available! 🔍 Dive into the details and explore the repository at:
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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! 🥳
Hi! I am happy to announce our latest work (with @ML_pablosm and @IValeraM) ... 🥁 🚨 Causal normalizing flows: from theory to practice 🚨 I am really excited about this work! Check this image, and scroll down if you want to know more 👀 1/10
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Join the online CDG next week to learn more about our latest work on causality!
Next week in the CDG we are happy to have @javaloyML discussing their recent paper "Causal normalizing flows: from theory to practice" ( https://t.co/M6iDQYMFJP) Open-access @ https://t.co/2iYr5bByRt 🌿 cc: @IValeraM
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