GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
[IJRR'2026] DCReg: Decoupled Characterization for Efficient Degenerate LiDAR Registeration
GenZ-LIO: SOTA robust LiDAR-inertial odometry (IEEE T-FR 2026)
Learning-based localizability estimation for robust LiDAR localization.
ALIVE-LIO: Degeneracy-Aware Learning of Inertial Velocity for Enhancing ESKF-Based LiDAR-Inertial Odometry (IEEE T-ITS 2026)
Solve linear optimization problems including minimization and maximization with simplex algorithm. Uses the Big M method to solve problems with larger equal constraints in Python
dynamic-neural-field-degeneration is a framework designed to simulate and study the effects of artificial neural degeneration on Dynamic Neural Field (DNF) models. This work explores the resilience and adaptability of DNFs, specifically in the context of cognitive behavior in robotic systems.
Odstraní verbala a/nebo jiné vybrané uživatele z recenzí, hodnocení a diskuzí na ČSFD.cz 🪄
Two-loop reasoning architecture using orthogonal constraints to collapse degenerate solution manifolds in LLM-based systems.
A coherence-based reasoning architecture addressing degeneration in LLM reasoning via orthogonal constraint collapse.
Detect observational equivalence, degeneracy, and non-identifiability in parametric models
Calcul de cliques maximales dans un graphe
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