Carles Balsells Rodas

If you are attending ICML 2025 and interested in Causal Discovery, I will be presenting our work today at 11am! See you at the East Exibition Hall - Poster 1303. #icml #icml2025

Excited to share that our paper "Causal discovery from Conditionally Stationary Time Series" has been accepted to ICML 2025!🥳 Pre-print: arxiv.org/abs/2110.06257 Thank you very much to all my collaborators, persistence pays off! #icml #icml2025

Gonna present 3 papers at #ICLR2025 and #AABI, come and connect at👇 1. Oral session 1c on FIRST DAY Morning: Improving Diffusion Model with Optimal Diagonal Covariance Matching (iclr.cc/virtual/2025/p…)

check our ICLR'25 oral paper if you are interested: arxiv.org/abs/2406.10808

Is there an elementary way to understand matrix/tensor factorization, and their algebraic connection with transformer models?🤔 Our answer is YES! All you need is undergraduate-level linear algebra, and a little geometry intuition! arxiv.org/abs/2410.03040. #geometry #tensor 1/7

📢Submit by Nov 2 to CLeaR, if you are researching on Causal Discovery, Causal Inference, Intersections of Causality and Machine Learning, and many others! Check out our Call for Papers cclear.cc/2025/CallforPa…

I enjoyed my time presenting our poster at #ICML2024! Special thanks to the people who stopped by and my collaborators once again! @wendy_yusi @coopermj_aiml @rahulgk

I’ll be presenting our #ICML2024 Spotlight paper on interpretable tabular learning this Wednesday, 11am, at Hall C 4-9, Poster #508 🇦🇹! Come check us out 🙌! Work done with @wendy_yusi, @coopermj_aiml, and @rahulgk at @VectorInst/@UofTCompSci 🇨🇦.

[ICML 2024 (Spotlight)] How can we distill predictive signals from tabular data to obtain intelligible insights 🤔? We introduce InterpreTabNet, a variant of the TabNet model that leverages salient feature interpretation. 📄: arxiv.org/abs/2406.00426 💻: github.com/jacobyhsi/Inte…

🚨 Want to join us? - We offer 5 postdoc positions in European projects in València - ML/DL, #Earth science, #hybrid modelling, #climate model #parametrization, #UQ, #diffusion & #foundation models - Apply by Aug 1st 2024: forms.gle/V8JdT1va7auU5x… Happy summer! 🌊🌞🥘⚽️

Excited to share that our paper, "Identifiability of Total Effects from Abstractions of Time Series Causal Graphs," has been accepted to @UncertaintyInAI! 🎉 If you're attending #UAI2024, stop by my poster tomorrow. Can't make it? Check it out online: arxiv.org/pdf/2310.14691

RT-LA-VocE has been accepted at #INTERSPEECH2024 ! 🥳 arxiv.org/abs/2407.07825 Our new model builds on top of the original LA-VocE (ICASSP 2023) to enable real-time⌛️ audio🔊-visual👀 speech💬 enhancement🔨 in real-world video streaming applications. Details below :) 🧵[1/9]

Identifying Nonstationary Causal Structures with High-Order Markov Switching Models. arxiv.org/abs/2406.17698

We start the 4th day of #GeMSS (gemss.ai/2024/) a.k.a. the best #GenAI summer school in the world! We begin with amazing @liyzhen2 and sequential deep generative modeling ✨

We are THRILLED to have been ranked 2nd in the world and 1st in the UK and Europe in this year's QS @worlduniranking! 🎊🥳 #QSWUR Thank you to everyone in #OurImperial community for making this result possible! 💙

🎉Happy to share that our paper “On the Identifiability of Switching Dynamical Systems” has been accepted to ICML! Preprint: arxiv.org/abs/2305.15925 @yixinwang_ @liyzhen2

Two postdoc positions on AI for Chemistry are available under the EPSRC AI Hub "Alchemy" at Imperial: jobs.ac.uk/job/DHJ529/res… I will be involved in advising the projects from machine learning side. RT appreciated 🙏

We enjoyed so much our invited talk on identifiability of Switching Dynamical Systems by @BalsellsRodas at @isp_uv_es @ai_elise @ELLISforEurope arxiv.org/abs/2305.15925

Come and chat at #527 this afternoon if you’re interested in energy-based models and generative modelling

A fun math exercise presented by @BalsellsRodas @yixinwang_ and yours truly ☺️