output
20042026
most citedCommunity Discovery in Dynamic Networks: a Survey

471 citations

205 papers

cs.LG2026

Instance Discrimination for Link Prediction

Valentin Cuzin-Rambaud, Mathieu Lefort, Rémy Cazabet

Recently, instance discrimination models have emerged as a major solution for self-supervised learning. Having already demonstrated its effectiveness in the image domain, instance…

cs.LG2026

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication

Valentin Cuzin-Rambaud, Laetitia Matignon, Maxime Morge

In multi-agent reinforcement learning (MARL), the integration of a communication mechanism, allowing agents to better learn to coordinate their actions and converge on their object…

cs.LG2026

Large Language Models and Algorithm Execution: Application to an Arithmetic Function

Farah Ben Slama, Frédéric Armetta

Large Language Models (LLMs) have recently developed new advanced functionalities. Their effectiveness relies on statistical learning and generalization capabilities. However, they…

cs.LG2025

PAC-Bayesian Reinforcement Learning Trains Generalizable Policies

Abdelkrim Zitouni, Mehdi Hennequin, Juba Agoun +3

We derive a novel PAC-Bayesian generalization bound for reinforcement learning that explicitly accounts for Markov dependencies in the data, through the chain's mixing time. This c…

eess.SY2025

StimulHeat: a Low-Energy Wearable Thermal Feedback Device Using Peltier Elements with Heat Flow Controlled Loop for Hand Interactions in Virtual Reality

Matthieu Mesnage, Sophie Villenave, Bertrand Massot +4

Nowadays, the majority of wearable thermal feedback systems designed for use in virtual reality applications are not compatible or not integrated to standard controllers and are ba…

cs.RO2025

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Zezeng Li, Alexandre Chapin, Enda Xiang +6

Robotic Manipulation (RM) is central to the advancement of autonomous robots, enabling them to interact with and manipulate objects in real-world environments. This survey focuses…