922 citations · 4.9k across the 110 of their papers we have counts for
116 papers
When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding
Giuseppe Destefanis, Tomaso Aste
We study how teams of AI coding agents coordinate while solving programming tasks. Current evaluations usually report whether the agents complete the task and how much the run cost…
Dependence-Informed Sparse Neural Architecture for Stock Return Prediction
Hongyu Lin, Yulin Chen, Yuanrong Wang +2
Using neural networks for stock return prediction typically requires choices about depth and hidden-layer width that are difficult to connect to financial interpretation. We study…
Smooth Neural Point Processes via B-Splines
Michele Bellomo, Riccardo Ramaschi, Alberto Dolara +1
Temporal point processes (TPPs) provide a general and flexible framework for modeling sequences of events in continuous time. Neural networks have been successfully employed to mod…
Graph Regularized PCA
Antonio Briola, Marwin Schmidt, Fabio Caccioli +4
Multivariate data often exhibit complex dependencies that violate the assumption of isotropic residual noise. For such cases, we introduce Graph Regularized PCA (GR-PCA). It is a g…
Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy -- Bitcoin Interactions
Sabrina Aufiero, Antonio Briola, Tesfaye Salarin +3
This paper investigates the evolving link between cryptocurrency and equity markets in the context of the recent wave of corporate Bitcoin (BTC) treasury strategies. We assemble a…
Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications
Tomaso Aste
Information Filtering Networks (IFNs) provide a powerful framework for modeling complex systems through globally sparse yet locally dense and interpretable structures that capture…