signal reconstruction

Noise2Noise: Learning Image Restoration without Clean Data ICML 2018 Matrix of Polynomials Model Based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling Interspeech 2017 Novel Shifted Real Spectrum for Exact Signal Reconstruction Interspeech 2017 Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017 Phase-Encoded Speech Spectrograms Interspeech 2016 Frequency-Based Environment Matting by Compressive Sensing ICCV 2015 Swept Approximate Message Passing for Sparse Estimation ICML 2015 Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold AISTATS 2014 Compressed Counting Meets Compressed Sensing COLT 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Real-Time Decoding of an Integrate and Fire Encoder NeurIPS 2014 Phase Retrieval using Alternating Minimization NeurIPS 2013 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Sparse Representation for Signal Classification NeurIPS 2006