output
20202026
most citedGeometry-preserving Lie Group Integrators For Differential Equations On The Manifold Of Symmetric Positive Definite Matrices

1 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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6 papers · 1 filter

cond-mat.mtrl-sci2026

Lithography-free patterning of SrTiO-based two-dimensional electron gases using direct atomic layer processing

Anshu Gupta, Karolis Parfeniukas, Amit Chanda +5

We present a scalable and lithography-free strategy for the realization of a two-dimensional electron gas (2DEG) in TiO-patterned SrTiO (100) via Al deposition using magnet…

cs.MA2026

LOTUSim: Multi-Domain Simulator for Marine Robotics

Cédric Buche, Juliette Grosset, Hélène Lechêne +4

Simulation is essential for maritime robotics, supporting operator training, mission rehearsal, and human-vehicle interaction in environments where real-world testing is costly or…

eess.IV2026

A Hybrid Physical--Digital Framework for Annotated Fracture Reduction Data Evaluated using Clinically Relevant 3D metrics

Basile Longo, Paul-Emmanuel Edeline, Hoel Letissier +4

A major bottleneck in Computer-Assisted Preoperative Planning (CAPP) for fracture reduction is the limited availability of annotated data. While annotated datasets are now availabl…

quant-ph2026

Energy-time attack on detectors in quantum key distribution

Konstantin Zaitsev, Vladimir Bizin, Dmitriy Kuzmin +1

Quantum key distribution is unbreakable in theory but may be hacked via imperfections in its hardware implementations. While many imperfections have been mitigated by countermeasur…

cs.LG2026

Discovering Data Manifold Geometry through Geometric Properties

David Vigouroux, Lucas Drumetz, Ronan Fablet +1

A prevailing paradigm in modern representation learning is the map-first approach, in which a representation map is learned from reconstruction, embedding, or task objectives. At t…

eess.SP2026

Majorization-Minimization Networks for Inverse Problems: An Application to EEG Imaging

Le Minh Triet Tran, Sarah Reynaud, Ronan Fablet +3

Inverse problems are often ill-posed and require optimization schemes with strong stability and convergence guarantees. While learning-based approaches such as deep unrolling and m…