GETA-3DGS is the first automatic joint structured pruning and quantization framework for 3D Gaussian Splatting, achieving roughly 5x storage reduction on standard datasets without per-scene thresholds.
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8 Pith papers cite this work. Polarity classification is still indexing.
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2026 8representative citing papers
Derives one-bit CRBs for MIMO ISAC targets and uses ADMM to optimize waveforms trading CRB against SEP under power constraint.
Formulates chance-constrained correlated equilibria to guarantee incentive compatibility under cost uncertainty, derives dual-based sensitivity results for the value of information, and shows via experiments that intermediate confidence levels can reduce realized coordination costs by up to 35%.
Maximum-entropy reweighting of particles improves D-optimal sensor placement for bearing-only multi-source localization by reducing average localization error, with greater benefits at higher sensor-to-source ratios.
Optimal beamforming minimizes periodic PCRB for angle sensing in multi-user ISAC with unknown reflection coefficient under rate constraints, requiring at most one sensing beam.
A convex optimization formulation for robust MIMO radar beamforming under bounded PDF uncertainty, obtained via quadratic Taylor approximation of the PCRB and the S-procedure to convert infinite constraints into an LMI.
Robust optimization of RIS-HST transmission under bounded and statistical cascaded CSI errors, using S-procedure and Bernstein approximations, with simulations indicating larger impact from cascaded errors.
A decomposed iterative algorithm for SIM-aided ISAC resource allocation yields up to 230% higher energy efficiency than a no-SIM baseline while meeting heterogeneous QoS for communications and sensing with fewer antennas.
citing papers explorer
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GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting
GETA-3DGS is the first automatic joint structured pruning and quantization framework for 3D Gaussian Splatting, achieving roughly 5x storage reduction on standard datasets without per-scene thresholds.
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CRB-Based Waveform Optimization for MIMO ISAC Systems With One-Bit ADCs
Derives one-bit CRBs for MIMO ISAC targets and uses ADMM to optimize waveforms trading CRB against SEP under power constraint.
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Chance-Constrained Correlated Equilibria for Robust Noncooperative Coordination
Formulates chance-constrained correlated equilibria to guarantee incentive compatibility under cost uncertainty, derives dual-based sensitivity results for the value of information, and shows via experiments that intermediate confidence levels can reduce realized coordination costs by up to 35%.
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Improving D-Optimal Sensor Placement for Bearing-Only Localization via Maximum-Entropy Reweighting
Maximum-entropy reweighting of particles improves D-optimal sensor placement for bearing-only multi-source localization by reducing average localization error, with greater benefits at higher sensor-to-source ratios.
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Multi-User ISAC with Heterogeneous Unknown Parameters: Optimal Beamforming based on Distribution Information
Optimal beamforming minimizes periodic PCRB for angle sensing in multi-user ISAC with unknown reflection coefficient under rate constraints, requiring at most one sensing beam.
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Robust Beamforming for MIMO Radar with Imperfect Prior Distribution Information
A convex optimization formulation for robust MIMO radar beamforming under bounded PDF uncertainty, obtained via quadratic Taylor approximation of the PCRB and the S-procedure to convert infinite constraints into an LMI.
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Robust Transmission Design for RIS-Assisted High-Speed Train Communication Coverage Enhancement With Imperfect Cascaded Channels
Robust optimization of RIS-HST transmission under bounded and statistical cascaded CSI errors, using S-procedure and Bernstein approximations, with simulations indicating larger impact from cascaded errors.
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Resource Allocation and AoI-Aware Detection for ISAC with Stacked Intelligent Metasurfaces
A decomposed iterative algorithm for SIM-aided ISAC resource allocation yields up to 230% higher energy efficiency than a no-SIM baseline while meeting heterogeneous QoS for communications and sensing with fewer antennas.