List of Accepted Papers

Following is the list of accepted CAMSAP 2025 papers, sorted by paper title. You can use the search feature of your web browser to find your paper number. Notifications to all authors have also been sent by email. If you have not received your notification of the results by email, please contact us at camsap2025@cmsworkshops.com.

Paper Number Paper Title
10943D SEISMIC ACQUISITION DESIGN OPTIMIZATION REGULARIZED BY FWI: A DEEP LEARNING APPROACH
1056A DUAL-HMM DESIGN FOR DETECTION OF LPI RADAR SIGNALS
1040A Fast Broadband Beamspace Transformation
1053A GLRT DETECTOR FOR CORRELATED TARGETS
1075A LOW-COMPLEXITY REFLECTION DESIGN METHOD FOR RIS-AIDED MIMO SYSTEMS
1013A MACHINE LEARNING APPROACH TO FORECASTING ENERGY CONSUMPTION AT ELECTRIC VEHICLE CHARGING STATIONS
1044A MULTISCALE GEOMETRIC METHOD FOR CAPTURING RELATIONAL TOPIC ALIGNMENT
1050A NON-PARAMETRIC METHOD BASED ON NEURAL NETWORKS AND PARTICLE FILTERING FOR CAMERA LENS DISTORTION ESTIMATION
1011A PRECONDITIONED HESSIAN-LIKE PROXIMAL GRADIENT ALGORITHM FOR SPARSE ML-DOA ESTIMATION
1035A UNIFIED APPROACH TO MOLECULAR DESIGN AND DESCRIPTION USING DIFFUSION LANGUAGE MODELS
1093Active–Subspace Particle Filtering for Efficient Inference in High-Dimensional State-Space Models
1082ADAPTIVE AGGREGATION OF MULTIPLE DENOISERS WITH MISMATCHED CORRELATED NOISE MODELS
1098ADAPTIVE MULTIMODAL PROTEIN PLUG-AND-PLAY WITH DIFFUSION-BASED PRIORS
1048Advancing Vision-Aided Beam Prediction: Knowledge Distillation Meets Active Learning
1087Anti-Forensic Diffusion via DNF-Guided Image Generation
1092Attention: Self-Expression Is All You Need
1068AUTOMATED TUNING FOR DIFFUSION INVERSE PROBLEM SOLVERS WITHOUT GENERATIVE PRIOR RETRAINING
1061BAYESIAN KOOPMAN TIME SERIES FORECASTING
1003Beamforming with Phase Center Control for Precision GNSS
1071Bilinear decomposition of mixed integer linear programs for multi-agent motion planning on quantum computers
1025Can Agentic AI Match the Performance of Human Data Scientists?
1078Cascade Computation of Second Order Information for Efficient Optimization of Multi-Argument Objective Functionals
1043Convergence of Agnostic Federated Averaging
1027COUPLED GAUSSIAN MIXTURES FOR MODAL ANALYSIS: EM INFERENCE AND CRAMER-RAO BOUNDS
1007Cramér-Rao Bounds for Feedback-Based Synchronization Architectures
1084DEEP DISTILLATION GRADIENT PRECONDITIONING FOR INVERSE PROBLEMS
1073DICE: DIFFUSION CONSENSUS EQUILIBRIUM FOR SPARSE-VIEW CT RECONSTRUCTION
1026DIFFUSION MODEL FOR GRADIENT PRECONDITIONING IN HYPERSPECTRAL IMAGING INVERSE PROBLEMS
1029DIFFUSION MODELS LEARN LOW-DIMENSIONAL DISTRIBUTIONS VIA SUBSPACE CLUSTERING
1055DISTRIBUTION SHIFT ESTIMATION IN IMAGING INVERSE PROBLEMS
1091DoRF: Doppler Radiance Fields for Robust Human Activity Recognition Using Wi-Fi
1042Efficient Fully-Digital Beamformer for Very-Large Non-Uniform Arrays using Hexagonal Transformations
1090Exploring the Manifold of Neural Networks Using Diffusion Geometry
1097Fast and Interpretable Sparse Array Reconstruction via Broad Neural Networks for Automotive Radar
1113Flow with Interpolant Guidance for Linear Inverse Problems
1114FMPLUG: PLUG-IN FOUNDATION FLOW-MATCHING PRIORS FOR INVERSE PROBLEMS
1095Generative Diffusion Models for Resource Allocation in Wireless Networks
1088Generative Latent Models with Low-Rank Subspaces and Trainable Sparse Mixtures
1101GradNetOT: Learning Optimal Transport Maps with GradNets
1060HIERARCHICAL FLOW MATCHING FOR PROBABILISTIC TIME SERIES FORECASTING
1089HOD-FP ALGORITHM FOR UNLIMITED SENSING: WHERE TIME MEETS FREQUENCY
1067JOINT ACTIVE AND PASSIVE BEAMFORMING DESIGN FOR MULTI-STREAM MIMO RIS SYSTEMS: A TENSOR-BASED APPROACH
1069LATENT DIFFUSION BASED ADAPTIVE IMAGE REPRESENTATION FOR MULTIDIMENSIONAL MRI
1017LIGHTWEIGHT BEAM CODEBOOK DESIGN FOR MMWAVE FULL-DUPLEX JOINT SENSING AND COMMUNICATION
1086LOCAL PARTICLE FILTERS: A UNIFYING FRAMEWORK AND NOVEL PARALLELIZABLE EXTENSIONS
1046LOG-SUM PENALIZED DIFFERENTIAL GRAPH ESTIMATION FROM TIME-DEPENDENT DATA
1005LOW-COMPLEXITY RECEIVER DESIGN FOR AFFINE FILTER BANK MODULATION
1018MULTI-AGENT ADAPTIVE SUPER-RESOLUTION SPARSE SOURCE LOCALIZATION FOR ADVECTION-DIFFUSION PROCESSES
1059MULTI-HEAD ARCHITECTURE FOR OPEN-SET ANOMALY DETECTION OF FAST RADIO BURSTS
1036MULTI-MODAL LATENT DIFFUSION USING INFORMATION DISENTANGLING AUTOENCODERS
1057MULTI-SOURCE FUSION USING BAYESIAN ONLINE CHANGE DETECTION: APPLICATION TO DEFORESTATION MONITORING USING SAR-OPTICAL TIME SERIES
1110Network-Regularized Diffusion Sampling For 3D Computed Tomography
1015ON THE EFFICIENCY OF A MISSPECIFIED CONTAMINATED NONLINEAR REGRESSION MODEL: APPLICATION TO TIME-DELAY AND DOPPLER ESTIMATION
1079ON THE IMPACT OF DOWNSTREAM TASKS ON SAMPLING AND RECONSTRUCTING NOISY GRAPH SIGNALS
1049OPTIMIZED SPARSE NETWORK COVERAGE VIA L1-NORM MINIMIZATION
1032Overdispersion parameter estimation for negative binomial optimization for low-photon imaging
1014POINT TARGET NEAR-FIELD BISTATIC IMAGING: CHIRP-BASED ALIASING ANALYSIS
1038RETROSPECTIVE MOTION CORRECTION IN MRI USING DISANTENGLED EMBEDDINGS
1063REVERSIBLE JUMP SMC
1100Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models
1052Robust Multi-target Localization in L-shaped Corner based on a Single Radar
1009SCALABLE HIGHER-ORDER TOPOLOGY IDENTIFICATION FROM NODAL OBSERVATIONS
1024Scale Equivariance Regularization and Feature Lifting in High Dynamic Range Modulo Imaging
1081SEQUENTIAL BAYESIAN SIGNAL RECONSTRUCTION FOR UNLIMITED SAMPLING
1016STATISTICAL ANALYSIS OF TARGET PARAMETER ESTIMATION USING PASSIVE RADAR
1051SYMMETRIC RANK-ONE QUASI-NEWTON METHODS FOR DEEP LEARNING USING CUBIC REGULARIZATION
1008Time-Delay Maximum-Likelihood Estimator under Phase Uncertainty
1104Toeplitz Covariance Estimation via Overparametrized Gradient Descent
1109TOWARDS UNCERTAINTY QUANTIFICATION FOR INVERSE PROBLEMS WITH GENERATIVE PRIORS UNDER DISTRIBUTION SHIFT
1107UNROLLING DYNAMIC PROGRAMMING VIA GRAPH FILTERS
1070UTOPY: UNROLLING ALGORITHM LEARNING VIA FIDELITY HOMOTOPY FOR INVERSE PROBLEMS
1077Virtual Arrays for ISAC MIMO OTFS Systems with Rectangular Pulses
1034Waterfilling at the Edge: Optimal Percentile Resource Allocation via Risk-Averse Reduction