sparse signal

Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models CVPR 2025 Rethink Sparse Signals for Pose-guided Text-to-image Generation ICCV 2025 Decentralized multi-agent active search for sparse signals UAI 2021 Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels NeurIPS 2021 S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation CVPR 2021 Support Recovery of Sparse Signals from a Mixture of Linear Measurements NeurIPS 2021 One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020 Geometry and Symmetry in Short-and-Sparse Deconvolution ICML 2019 Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling ICML 2019 Superset Technique for Approximate Recovery in One-Bit Compressed Sensing NeurIPS 2019 A convex program for bilinear inversion of sparse vectors NeurIPS 2018 Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere NeurIPS 2018 Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018 On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017 Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NeurIPS 2017 Random Features for Sparse Signal Classification CVPR 2016 One-bit Compressed Sensing with the k-Support Norm AISTATS 2015 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 Short-term memory in neuronal networks through dynamical compressed sensing NeurIPS 2010 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008