3 papers
cs.AI2026
Project Auto-World: Towards Automated Benchmarking of Neural Relational Reasoners
Anirban Das, Joanne Boisson, Irtaza Khalid +2
Reasoning about relational structures remains a significant challenge for neural models, particularly when they must systematically apply learned knowledge to problem instances tha…
cs.LG2026
Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials
Amir Masoud Nourollah, Irtaza Khalid, Stefano Leoni +1
Machine Learning Interatomic Potentials play a fundamental role in computational chemistry and materials science, enabling applications from molecular dynamics simulations to drug…
cs.AI2025
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
Anirban Das, Irtaza Khalid, Rafael Peñaloza +1
Designing models that can learn to reason in a systematic way is an important and long-standing challenge. In recent years, a wide range of solutions have been proposed for the spe…