Joint-DP co-optimizes sensing geometry with Bellman-optimal adaptive policies via differentiable dynamic programming and relaxations, scaling to photonic designs exceeding 10^5 pixels.
Resource allocation via graph neural networks in free space optical fronthaul networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Quantum probes with squeezing or entanglement, routed via an identifiability-guaranteeing algorithm, enable improved estimation of link transmissivities in general optical networks using det(FIM) and tr(FIM^{-1}) metrics.
citing papers explorer
-
Adaptive Sensing beyond Non-Adaptive Information Limits: End-to-End Co-Design of Geometry, Policy, and Inference
Joint-DP co-optimizes sensing geometry with Bellman-optimal adaptive policies via differentiable dynamic programming and relaxations, scaling to photonic designs exceeding 10^5 pixels.
-
Quantum-enhanced Network Tomography
Quantum probes with squeezing or entanglement, routed via an identifiability-guaranteeing algorithm, enable improved estimation of link transmissivities in general optical networks using det(FIM) and tr(FIM^{-1}) metrics.