3 papers
cs.LG2026
Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization
Erkan Turan, Aristotelis Siozopoulos, Louis Martinez +3
Continuous Normalizing Flows (CNFs) enable elegant generative modeling but remain bottlenecked by their iterative nature requiring costly sampling and lacking interpretability of t…
cs.CV2026
FILTR: Extracting Topological Features from Pretrained 3D Models
Louis Martinez, Maks Ovsjanikov
Recent advances in pretraining 3D point cloud encoders (e.g., Point-BERT, Point-MAE) have produced powerful models, whose abilities are typically evaluated on geometric or semantic…
cs.MA2025
Coupling Agent-Based Simulations and VR universes: the case of GAMA and Unity
Alexis Drogoul, Patrick Taillandier, Arthur Brugière +4
Agent-based models (ABMs) and video games, including those taking advantage of virtual reality (VR), have undergone a remarkable parallel evolution, achieving impressive levels of…