output
20092026
most citedWeakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data

107 citations

70 papers

cs.LG2026

Data-Driven Fire-Zone Segmentation for Improved Short-Term Wildfire Prediction

Nicolas Caron, Christophe Guyeux, Hassan Noura +1

Wildfire prediction models typically discretize study areas into uniform grids, ignoring the heterogeneous spatial distribution of ignitions. We challenge this paradigm by showing…

cs.MA2026

Holonic Active Distillation for Scalable Multi-Agent Learning in Multi-Sensor Systems

Dani Manjah, Tim Bary, Benoît Macq +1

The rapid expansion of sensor-based networks introduces major challenges in scalability, adaptability, and knowledge transfer, especially in open environments where new subsystems…

quant-ph2026

Local qubit invariants on quantum computer

Szilárd Szalay, Frédéric Holweck

We present two general methods to implement quantum circuits for the direct measuring of local unitary invariants on quantum computers. We work these out for important three-qubit…

cs.CV2025★ 4 cited

LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging

Fadi Abdeladhim Zidi, Djamel Eddine Boukhari, Abdellah Zakaria Sellam +4

Hyperspectral image classification remains a challenging task due to the high dimensionality of spectral data, significant inter-band redundancy, and the limited availability of an…

cs.DC2025★ 20 cited

Optimization of Workload Mapping and Scheduling in Scaling Heterogeneous HPC Systems: A Systematic Literature Review

Aasish Kumar Sharma, Julian Kunkel

The increasing heterogeneity of High-Performance Computing (HPC) systems, incorporating Central Processing Units (CPUs), Graphics Processing Units (GPUs), Field-Programmable Gate A…

eess.SY2024★ 11 cited

A Critical Review of Proton Exchange Membrane Fuel Cells Matter Transports and Voltage Polarisation for Modelling

Raphaël Gass, Zhongliang Li, Rachid Outbib +2

Technologies based on the use of hydrogen are promising for future energy requirements in a more sustainable world. Consequently, modelling fuel cells is crucial, for instance, to…