* Open Challenge Contribution

DAY 1 - 6 October

10.50-11.10 The Missing Ingredient in Recurrent Neural Networks
Alessandro Betti; Christian Di Maio; Marco Gori; Tommaso Guidi; Stefano Melacci; Jinwei Zhao

11.30-11.50 Testing transformer learnability on the arithmetic sequence of rooted trees
Alessandro Breccia; Federica Gerace; Marco Lippi; Gabriele Sicuro; Pierluigi Contucci

12.10-12.30 Precision on Demand: Rethinking Quantization for Embedded and Edge AI
Manuel Roveri; Fabrizio Pittorino; Hazem Shalby

14.00-14.20 Learning to Simplify: Accelerating Scheduling through ML-Driven Graph Reduction
Samuela Carosi; Andrea Cardia; Francesca Del Lungo; Francesco Geraci; Lorenzo Sarti

14.40-15.00 On the Global and Local Calibration of Graph Neural Networks
Francesco Ferrini; Veronica Lachi; Antonio Longa; Cesare Barbera; Andrea Pugnana; Andrea Passerini; Manfred Jaeger

15.20-15.40 Two Years of Experience in Applying LLMs in the Financial Domain: Where, How, and Where not
A. Giordana; D. Mantovani; M. Orecchia; G. Alfieri; Lorenza Saitta

DAY 2 - 7 October

10.30-10.50 Towards Machine Learning Models That Know What They Do Not Know
Andrea Pugnana

10.50-11.10 Beyond AI performance: navigating Knowledge Discovery, Communication, and Acquisition in Medicine*
Alberto Signoroni; Mattia Savardi

11.30-11.50 Do We Need Foundation Models for High-Energy Physics?*
Thea Aarrestad; Donatella Genovese; Stefano Giagu; Simone Scardapane

12.10-12.30 Towards Conditioning Large Language Models on Knowledge Graphs: Open Challenges and Neural Interfaces*
Daniele Pasquini; Danilo Croce; Roberto Basili

14.00-14.20 Connecting Self-supervised Vision-only Backbones with Text
Lorenzo Bianchi; Giacomo Pacini; Fabio Carrara; Nicola Messina; Giuseppe Amato; Fabrizio Falchi

14.40-15.00 Networks with Finite VC Dimension: Pro and Contra
Věra Kůrková; Marcello Sanguineti