output
19942026
most citedHyperspectral and Multispectral Image Fusion based on a Sparse Representation

709 citations

663 papers

cs.LG2026

Energy-aware frugal Bayesian optimization

Gaston Plat, Paul Saves, Nathalie Bartoli +2

Modern design optimization frameworks aim first and foremost for models with the most accurate predictions without balancing computational overhead. It remains a reason why scaled…

cs.HC2026

FleetScape: A Mixed Reality Sandtable for Spatial Supervision and Control of Scalable Drone Fleets

Peisen Xu, Jérémie Garcia, Peter Cleveland +2

As autonomous drone deployments scale from individual units to coordinated swarms, the human operator's role shifts from direct piloting to high-level supervision. Current interfac…

cs.IR2026

Improving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Merging

Ahmed Rayane Kebir, Jose G. Moreno, Lynda Tamine

Conversational information retrieval is challenging since it requires the consideration of the conversation history which potentially gives rise to topic shifts and coreference res…

cs.LG2026

LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks

Arthur Chiron, Franck Mamalet, Thomas Massena +2

While accuracy, robustness, and calibration are all essential for reliable neural networks, they are often studied separately; developing models that satisfy all three simultaneous…

cs.CV2026

LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection

Vincent Lébé, Yannick Prudent, Corentin Friedrich +3

Object detectors have many applications in safety-critical systems, but they are known to be sensitive to worst-case perturbations such as adversarial attacks, which limits their a…

cs.NE2026

SeqGPT: A Constrained Transformer Agent for the Inverse Design of Multi-Panel Composite Structures

Driss Chraibi, Alejandro García Pis, Stéphane Grihon +1

Optimizing composite stacking sequences to match continuous targets (e.g., Lamination or Buckling Parameters) with discrete manufacturing constraints represents a challenging combi…