Guillaume Rabusseau

Benefits and Limitations of Communication in Multi-Agent Reasoning

TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs

RL Fine-Tuning Heals OOD Forgetting in SFT

Adversarial Robustness of Continuous Time Dynamic Graphs

Hydra: Towards Transferable Multi-Task Learning on Temporal Graphs

Efficient Learning of Probabilistic Tensor Networks

Clean: Curvature-Aware Memory-Efficient Optimizer via Nyström Sketching

Are Large Language Models Good Temporal Graph Learners?

Grokking Beyond the Euclidean Norm of Model Parameters

Enhancing Variational Quantum Algorithms: Effective Quantum Ansatz Design Using GFlowNets

Towards Neural Scaling Laws for Foundation Models on Temporal Graphs

Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data

DeepFDM: A scientific computing method for Neural Partial Differential Equation (PDE) operators