activity
20242026
collaborators

5 papers

cs.LG2026

Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression Models

Arco van Breda, Erman Acar

Following their success across many domains, transformers have also proven effective for symbolic regression (SR); however, the internal mechanisms underlying their generation of m…

cs.AI2025

Successful Misunderstandings: Learning to Coordinate Without Being Understood

Nikolaos Kondylidis, Anil Yaman, Frank van Harmelen +2

The main approach to evaluating communication is by assessing how well it facilitates coordination. If two or more individuals can coordinate through communication, it is generally…

q-fin.ST2025

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations

Linh Nguyen, Marcel Boersma, Erman Acar

Fraudulent activity in the financial industry costs billions annually. Detecting fraud, therefore, is an essential yet technically challenging task that requires carefully analyzin…

cs.LG2025

EMERGENT: Efficient and Manipulation-resistant Matching using GFlowNets

Mayesha Tasnim, Erman Acar, Sennay Ghebreab

The design of fair and efficient algorithms for allocating public resources, such as school admissions, housing, or medical residency, has a profound social impact. In one-sided ma…

cs.AI2024

Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning

Satchit Chatterji, Erman Acar

Safe reinforcement learning (RL) is crucial for real-world applications, and multi-agent interactions introduce additional safety challenges. While Probabilistic Logic Shields (PLS…