Find below EMERGE’s news articles, press releases, digests of scientific publications, as well as other outreach materials.
Publication: Sparse assemblies of recurrent neural networks with stability guarantees
03 February 2026
In this study, EMERGE partners from the University of Pisa introduce AdaDiag, a framework for constructing sparse assemblies of recurrent neural networks (RNNs) with formal stability guarantees.
Publication: Symbolic Learning of Interpretable Reduced-Order Models for Jumping Quadruped Robots
08 January 2026
In this study, EMERGE partners from the Delft University of Technology propose a methodology that combines a linear autoencoder with symbolic regression to derive reduced-order models that are central to motion planning and control of quadruped robots.
Publication: AI’s assigned gender affects human-AI cooperation
19 December 2025
In this study, EMERGE partners from the Ludwig Maximilian University of Munich investigates how cooperation varies with the gender labels assigned to AI partners.
Publication: On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
05 December 2025
In this study, EMERGE partners from the University of Pisa present a unified view of on the appearance of representational collapse issues through the lens of vanishing gradients.
Publication: Graph Diffusion that can Insert and Delete
05 December 2025
In this study, EMERGE partners from the University of Pisa reformulate the noising and denoising processes to support monotonic insertion and deletion of nodes.
Publication: Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
05 December 2025
In this paper, EMERGE partners from the University of Pisa revisit ChebNet to shed light on its ability to model distant node interactions.
Publication: SONAR: Long-Range Graph Propagation Through Information Waves
01 December 2025
In this work, EMERGE partners from the University of Pisa introduce SONAR, a novel GNN architecture inspired by the dynamics of wave propagation in continuous media.
Publication: A Framework for the Examination of Awareness in Artificial Systems
25 November 2025
In this work, EMERGE partners propose a novel and tractable approach to measure the impact of awareness on system performance, structured around distinct dimensions of awareness – temporal, spatial, metacognitive, self and agentive.
Publication: Direct Feedback Alignment for Recurrent Neural Networks
24 November 2025
In this work, EMERGE partners from the University of Pisa adapt Direct Feedback Alignment (DFA) for both “vanilla” and gated recurrent networks.
