🔥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

Exciting news! Alessandro Sbandi will be presenting our paper "Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking" at #CIKM2024 in Boise, Idaho, accepted to the Applied Research Track. Stop by and say hello! 👋 #RecSys #ResearchPapers dl.acm.org/doi/10.1145/36…

New research work from our group!🎉🎉 “Beyond position: How rotary embeddings shape representations and memory in autoregressive transformers” by Valeria Ruscio and Fabrizio Silvestri.

Super proud to show Alessandro Sbandi from our group, presenting the paper “Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking” at ACM CIKM 2024 , in Bodo, co-authored with Fabrizio Silvestri and Federico Siciliano . Link to the paper: dl.acm.org/doi/pdf/10.114….

Super excited to announce the first of the new RSTLess members: Christian Maria Giannetti . He has a #master #degree in #AI and #robotics and he will work on #geometric #DL with Pietro Lio', Nicola Tonellotto and Fabrizio Silvestri . To get in touch with him visit our site: rstless.it

Other new member for our group. Syrine has a #Bachelor from McGill University and a #Master from Sapienza Università di Roma. She is interested in the analysis of #regression models and will be supervised by Irene Amerini and Fabrizio Silvestri. Visit our site to find her contacts: rstless.it

Tomorrow Maria Sofia Bucarelli will give a presentation on “Large Language Models and Agents: A Challenging Symbiosis”, showing our research agenda on the hottest topic of the moment in #AI and #LLMs. See you at AIxIA | AI-Conference , MLDM24 workshop, from 2.30 to 2.50 PM CET, room F0.03!

🚨 Call for Submissions 🚨 The IJCNN 2025 Special Session on Neural Methods for IR and RecSys is open for papers!📄 🔑Topics: Neural architectures, RAG, scalability & more. 📅Deadline: Jan 15, 2025 🔗Website: coda.io/@rstless-group… #IJCNN2025 #AI #RecSys #InformationRetrieval

We are very excited to share that the work of Cesare Campagnano , Antonio Mallia , @JackPertschuk and Fabrizio Silvestri has been accepted to #ECIR2025 as a #shortpaper. See you in #Lucca. ECIR2025 Pinecone #AI #Research #IR #industry

🚀Call for Submissions – ai4coolerplanet Excited to announce the AI for a Cooler Planet workshop @ IJCNN 2025 in Rome 📅Submission Deadline: March 20, 2025 Topics include: 🌱 Climate Predictability, Physics-Informed ML, Weather Forecasting & more! 🔗sites.google.com/view/ai4cooler…

We accept two types of papers: 📄 Regular (6–8 pages, included in IEEE proceedings) 📄 Short (2–4 pages, for new ideas/preliminary results not included in the IEEE proceedings) Check the website for the full list of topics: sites.google.com/view/ai4cooler… 🌱 Join us & submit your work!

Together with francesco caso, Christian Giannetti, Andrea Drago, Pietro Liò, Andrea Marinoni, and Fabrizio Silvestri, we look forward to seeing you in Rome for the workshop! A unique opportunity to connect deep learning with pressing environmental challenges

Don’t lose the opportunity to attend this workshop on AI & environment in Rome during the IJCNN25 conference! Fully organized by our team!

🚀 Exciting news! We’re thrilled to announce that four of our papers have been accepted at #IJCNN! 🎉 Details on each one coming soon - see you in #Rome!🇮🇹 #MachineLearning #AI #DeepLearning #RecommenderSystems #GNN #Research

🎉 Paper accepted at #IJCNN2025! "Link Prediction with Physics-Inspired Graph Neural Networks" by Andrea Giuseppe Di Francesco , francesco caso , Maria Sofia Bucarelli , and Fabrizio Silvestri explores how physics-inspired priors can enhance GNN performance on link prediction tasks. #GNNs #AI #ML

Our paper "Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights" was accepted at #IJCNN! 🎉 With the right modifications, CNN-based SRSs can in some cases outperform attention-based models like SASrec by up to +53% in NDCG@10! 📈

🎉 Paper accepted at #IJCNN2025! "Renormalized Graph Representations for Node Classification" by francesco caso, Giovanni Trappolini, Andrea Bacciu, Pietro Lio', Fabrizio Silvestri proposes a graph representation based on renormalization group and explores its use in graph learning.

Next Monday will start the #IJCNN2025 conference! And our group will present lots of papers! On July 5th at 2.30 PM CET in Room Loyola francesco caso will present “Renormalized Graph Representations for Node Classification”. Preprint: arxiv.org/pdf/2306.00707 #Classication #ML

Last #IJCNN25 paper from our group, presented by francesco caso during the topological deep learning special session. Renormalized Graph Representations for Node Classification, co-authored with Andrea Bacciu , Giovanni Trappolini, Pietro Lio' and Fabrizio Silvestri.