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 |
---|---|
1094 | 3D SEISMIC ACQUISITION DESIGN OPTIMIZATION REGULARIZED BY FWI: A DEEP LEARNING APPROACH |
1056 | A DUAL-HMM DESIGN FOR DETECTION OF LPI RADAR SIGNALS |
1040 | A Fast Broadband Beamspace Transformation |
1053 | A GLRT DETECTOR FOR CORRELATED TARGETS |
1075 | A LOW-COMPLEXITY REFLECTION DESIGN METHOD FOR RIS-AIDED MIMO SYSTEMS |
1013 | A MACHINE LEARNING APPROACH TO FORECASTING ENERGY CONSUMPTION AT ELECTRIC VEHICLE CHARGING STATIONS |
1044 | A MULTISCALE GEOMETRIC METHOD FOR CAPTURING RELATIONAL TOPIC ALIGNMENT |
1050 | A NON-PARAMETRIC METHOD BASED ON NEURAL NETWORKS AND PARTICLE FILTERING FOR CAMERA LENS DISTORTION ESTIMATION |
1011 | A PRECONDITIONED HESSIAN-LIKE PROXIMAL GRADIENT ALGORITHM FOR SPARSE ML-DOA ESTIMATION |
1035 | A UNIFIED APPROACH TO MOLECULAR DESIGN AND DESCRIPTION USING DIFFUSION LANGUAGE MODELS |
1093 | Active–Subspace Particle Filtering for Efficient Inference in High-Dimensional State-Space Models |
1082 | ADAPTIVE AGGREGATION OF MULTIPLE DENOISERS WITH MISMATCHED CORRELATED NOISE MODELS |
1098 | ADAPTIVE MULTIMODAL PROTEIN PLUG-AND-PLAY WITH DIFFUSION-BASED PRIORS |
1048 | Advancing Vision-Aided Beam Prediction: Knowledge Distillation Meets Active Learning |
1087 | Anti-Forensic Diffusion via DNF-Guided Image Generation |
1092 | Attention: Self-Expression Is All You Need |
1068 | AUTOMATED TUNING FOR DIFFUSION INVERSE PROBLEM SOLVERS WITHOUT GENERATIVE PRIOR RETRAINING |
1061 | BAYESIAN KOOPMAN TIME SERIES FORECASTING |
1003 | Beamforming with Phase Center Control for Precision GNSS |
1071 | Bilinear decomposition of mixed integer linear programs for multi-agent motion planning on quantum computers |
1025 | Can Agentic AI Match the Performance of Human Data Scientists? |
1078 | Cascade Computation of Second Order Information for Efficient Optimization of Multi-Argument Objective Functionals |
1043 | Convergence of Agnostic Federated Averaging |
1027 | COUPLED GAUSSIAN MIXTURES FOR MODAL ANALYSIS: EM INFERENCE AND CRAMER-RAO BOUNDS |
1007 | Cramér-Rao Bounds for Feedback-Based Synchronization Architectures |
1084 | DEEP DISTILLATION GRADIENT PRECONDITIONING FOR INVERSE PROBLEMS |
1073 | DICE: DIFFUSION CONSENSUS EQUILIBRIUM FOR SPARSE-VIEW CT RECONSTRUCTION |
1026 | DIFFUSION MODEL FOR GRADIENT PRECONDITIONING IN HYPERSPECTRAL IMAGING INVERSE PROBLEMS |
1029 | DIFFUSION MODELS LEARN LOW-DIMENSIONAL DISTRIBUTIONS VIA SUBSPACE CLUSTERING |
1055 | DISTRIBUTION SHIFT ESTIMATION IN IMAGING INVERSE PROBLEMS |
1091 | DoRF: Doppler Radiance Fields for Robust Human Activity Recognition Using Wi-Fi |
1042 | Efficient Fully-Digital Beamformer for Very-Large Non-Uniform Arrays using Hexagonal Transformations |
1090 | Exploring the Manifold of Neural Networks Using Diffusion Geometry |
1097 | Fast and Interpretable Sparse Array Reconstruction via Broad Neural Networks for Automotive Radar |
1113 | Flow with Interpolant Guidance for Linear Inverse Problems |
1114 | FMPLUG: PLUG-IN FOUNDATION FLOW-MATCHING PRIORS FOR INVERSE PROBLEMS |
1095 | Generative Diffusion Models for Resource Allocation in Wireless Networks |
1088 | Generative Latent Models with Low-Rank Subspaces and Trainable Sparse Mixtures |
1101 | GradNetOT: Learning Optimal Transport Maps with GradNets |
1060 | HIERARCHICAL FLOW MATCHING FOR PROBABILISTIC TIME SERIES FORECASTING |
1089 | HOD-FP ALGORITHM FOR UNLIMITED SENSING: WHERE TIME MEETS FREQUENCY |
1067 | JOINT ACTIVE AND PASSIVE BEAMFORMING DESIGN FOR MULTI-STREAM MIMO RIS SYSTEMS: A TENSOR-BASED APPROACH |
1069 | LATENT DIFFUSION BASED ADAPTIVE IMAGE REPRESENTATION FOR MULTIDIMENSIONAL MRI |
1017 | LIGHTWEIGHT BEAM CODEBOOK DESIGN FOR MMWAVE FULL-DUPLEX JOINT SENSING AND COMMUNICATION |
1086 | LOCAL PARTICLE FILTERS: A UNIFYING FRAMEWORK AND NOVEL PARALLELIZABLE EXTENSIONS |
1046 | LOG-SUM PENALIZED DIFFERENTIAL GRAPH ESTIMATION FROM TIME-DEPENDENT DATA |
1005 | LOW-COMPLEXITY RECEIVER DESIGN FOR AFFINE FILTER BANK MODULATION |
1018 | MULTI-AGENT ADAPTIVE SUPER-RESOLUTION SPARSE SOURCE LOCALIZATION FOR ADVECTION-DIFFUSION PROCESSES |
1059 | MULTI-HEAD ARCHITECTURE FOR OPEN-SET ANOMALY DETECTION OF FAST RADIO BURSTS |
1036 | MULTI-MODAL LATENT DIFFUSION USING INFORMATION DISENTANGLING AUTOENCODERS |
1057 | MULTI-SOURCE FUSION USING BAYESIAN ONLINE CHANGE DETECTION: APPLICATION TO DEFORESTATION MONITORING USING SAR-OPTICAL TIME SERIES |
1110 | Network-Regularized Diffusion Sampling For 3D Computed Tomography |
1015 | ON THE EFFICIENCY OF A MISSPECIFIED CONTAMINATED NONLINEAR REGRESSION MODEL: APPLICATION TO TIME-DELAY AND DOPPLER ESTIMATION |
1079 | ON THE IMPACT OF DOWNSTREAM TASKS ON SAMPLING AND RECONSTRUCTING NOISY GRAPH SIGNALS |
1049 | OPTIMIZED SPARSE NETWORK COVERAGE VIA L1-NORM MINIMIZATION |
1032 | Overdispersion parameter estimation for negative binomial optimization for low-photon imaging |
1014 | POINT TARGET NEAR-FIELD BISTATIC IMAGING: CHIRP-BASED ALIASING ANALYSIS |
1038 | RETROSPECTIVE MOTION CORRECTION IN MRI USING DISANTENGLED EMBEDDINGS |
1063 | REVERSIBLE JUMP SMC |
1100 | Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models |
1052 | Robust Multi-target Localization in L-shaped Corner based on a Single Radar |
1009 | SCALABLE HIGHER-ORDER TOPOLOGY IDENTIFICATION FROM NODAL OBSERVATIONS |
1024 | Scale Equivariance Regularization and Feature Lifting in High Dynamic Range Modulo Imaging |
1081 | SEQUENTIAL BAYESIAN SIGNAL RECONSTRUCTION FOR UNLIMITED SAMPLING |
1016 | STATISTICAL ANALYSIS OF TARGET PARAMETER ESTIMATION USING PASSIVE RADAR |
1051 | SYMMETRIC RANK-ONE QUASI-NEWTON METHODS FOR DEEP LEARNING USING CUBIC REGULARIZATION |
1008 | Time-Delay Maximum-Likelihood Estimator under Phase Uncertainty |
1104 | Toeplitz Covariance Estimation via Overparametrized Gradient Descent |
1109 | TOWARDS UNCERTAINTY QUANTIFICATION FOR INVERSE PROBLEMS WITH GENERATIVE PRIORS UNDER DISTRIBUTION SHIFT |
1107 | UNROLLING DYNAMIC PROGRAMMING VIA GRAPH FILTERS |
1070 | UTOPY: UNROLLING ALGORITHM LEARNING VIA FIDELITY HOMOTOPY FOR INVERSE PROBLEMS |
1077 | Virtual Arrays for ISAC MIMO OTFS Systems with Rectangular Pulses |
1034 | Waterfilling at the Edge: Optimal Percentile Resource Allocation via Risk-Averse Reduction |