🔥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

Happy that the **new** version of #Ducho (v2.0), our framework to extract #multimodal features in #recommendation, has been accepted at #TheWebConf2024 The Web Conference 🚀🚀 Amazing work led by Matteo Attimonelli Danilo Danese and supervised by me, Claudio Pomo, and Tommaso Di Noia! (1/n)

Want to use #Ducho for your #experiments and #benchmarks with #multimodal #recsys? In our just accepted paper, we provide a #tutorial of a **COMPLETE** recommendation pipeline where #Ducho is seamlessly used on top of #ELLIOT, our framework for reproducible #recsys! (3/n)

Some useful resources: ✅ GitHub: github.com/sisinflab/Ducho ✅ arXiv: arxiv.org/abs/2403.04503 ✅ DockerHub: hub.docker.com/repository/doc… See you all in #Singapore for the paper presentation 🇸🇬 (4/n)

Our paper "Formalizing Multimedia Recommendation through Multimodal Deep Learning" is now accepted in ACM Transactions on Recommender Systems (ACM TORS) 😍🚀 We survey, formalize, benchmark, and outline open questions in #multimodal #recsys! A work w/ Claudio Pomo Giandomenico Cornacchia Felice Antonio Merra Tommaso Di Noia Eugenio Di Sciascio

A complete explanation of Kolmogorov-Arnold Networks, including a review of multilayer perceptron (MLPs), Bézier Curves, B-Splines, the Universal Approximation Theorem and how KANs compare to MLPs: youtube.com/watch?v=-PFIkk… #kan #machinelearning #deeplearning #mlp

Thank you to everyone who attended our presentation on #Ducho2 at The Web Conference! Ready to revolutionize your multimodal recommendations? Dive into our framework and explore its powerful features! 👩‍💻👨‍💻 #RecSys #Multimodal #Benchmarking 🔗 Learn more at github.com/sisinflab/Ducho

Claudio Pomo from Politecnico di Bari just presented the version **2.0** for our framework #Ducho at The Web Conference 😎 Check out the code 💻(github.com/sisinflab/Ducho) and paper 📖 (dl.acm.org/doi/10.1145/35…) w/ Claudio Pomo Matteo Attimonelli Danilo Danese Tommaso Di Noia

We have kicked off! The best summer school on #GenerativeAI: ✨Generative Modeling Summer School 2024✨! We turn TU Eindhoven into the world's capitol of #GenAI. Amazing lineup: Jes Frellsen, Pierre-Alexandre Mattei, Durk Kingma, yingzhen, Heli Ben-Hamu, Stephan Mandt @ AISTATS’25, Ewa Szczurek, Vlado Menkovski 🤩

The poster session at the #GenAI summer school (gemss.ai) is in progress and fantastic interactive! #GeMSS24

Last Week, I presented at the World Conference on eXplainable Artificial Intelligence #xAI-2024. It has been very interesting to learn insights on xAI and meet other professionals in the field. 🧠🤖

Open-MAGVIT2 An Open-Source Project Toward Democratizing Auto-regressive Visual Generation paper page: huggingface.co/papers/2409.04… We present Open-MAGVIT2, a family of auto-regressive image generation models ranging from 300M to 1.5B. The Open-MAGVIT2 project produces an

Tomorrow I'm heading to Bari to give a lecture on #Multimodal #DeepLearning for #Recommendation at the #RecSys2024 summer school ✈️ 😎 📅 Save the date: Oct 09, 2024 📚 Material is already available online: github.com/danielemalites… See you very soon!

From the entrance test for computer science engineering to organizing #RecSys2024, it feels like a blink of an eye 😂

The #RecSysChallenge workshop has officially begun! Join us in the room “Aula Magna” for an exciting keynote by Kasper Lindskow. Don't miss it! ACM RecSys #recsys2024

Today João Vinagre keynote presentation at Fair Recommendation workshop as part of ACM RecSys. The talk explores how EU regulations #DSA and #AIAct will shape the future of #RecSys research, highlighting the opportunities they bring. We look forward to seeing you there!

It's really happening! ACM RecSys #recsys2024 #bari

Day 3 of ACM RecSys #recsys2024 #bari First session: Multi-task Learning

The ACM RecSys Session about Graph Learning has just started! Hosted by the one and only Antonio Ferrara

🎉 Excited to announce our IEEE Access article! NeuroSense: EEG dataset for emotion recognition with low-cost devices. 🧠Available on GitHub 👉 github.com/sisinflab/Neur… 📚 Paper 👉 ieeexplore.ieee.org/document/10737… #EEG #EmotionRecognition #AffectiveComputing