Intrinsic Sparsity of Kantorovich solutions by Hosseini, Bamdad, Steinerberger, Stefan

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Sparsity Increases Uncertainty Estimation in Deep Ensemble by Uyanga Dorjsembe, Ju Hong Lee, Bumghi Choi, Jae Won Song

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DISTRIBUTED UNMIXING OF HYPERSPECTRAL DATAWITH SPARSITY CONSTRAINT by S. Khoshsokhan, R. Rajabi, H. Zayyani

“…One of the constraints which was added to NMF is sparsity constraint that was regularized by L1/2 norm. …”
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Variable Selection in Untargeted Metabolomics and the Danger of Sparsity by Gerjen H. Tinnevelt, Udo F.H. Engelke, Ron A. Wevers, Stefanie Veenhuis, Michel A. Willemsen, Karlien L.M. Coene, Purva Kulkarni, Jeroen J. Jansen

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Robust Mesh Denoising via Triple Sparsity by Saishang Zhong, Zhong Xie, Jinqin Liu, Zheng Liu

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Groupwise structural sparsity for discriminative voxels identification by Hong Ji, Xiaowei Zhang, Badong Chen, Zejian Yuan, Nanning Zheng, Andreas Keil

Subjects: “…randomized structural sparsity (RSS)…”
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ECG Sparsity Evaluation on a Multiwavelet Basis by Kromka Jozef, Jusková Antónia, Šaliga Ján

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Hybrid Sparsity Model for Fast Terahertz Imaging by Xiaozhen Ren, Yanwen Bai, Yuying Jiang

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Twofold Sparsity: Joint Bit- and Network-Level Sparsity for Energy-Efficient Deep Neural Network Using RRAM Based Compute-In-Memory by Foroozan Karimzadeh, Arijit Raychowdhury

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The impact of sparsity in low-rank recurrent neural networks. by Elizabeth Herbert, Srdjan Ostojic

“…We first analyse the impact of sparsity on the eigenvalue spectrum of low-rank connectivity matrices, and use this to examine the implications for the dynamics. …”
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Random pruning: channel sparsity by expectation scaling factor by Chuanmeng Sun, Jiaxin Chen, Yong Li, Wenbo Wang, Tiehua Ma

“…In the proposed method, the channels with similar $\delta _{E}$δE are randomly removed in each convolutional layer, and thus the whole network achieves random sparsity to obtain non-redundant and non-unique sub-networks. …”
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MEGS: A Penalty for Mutually Exclusive Group Sparsity by Charles Saunders, Vivek K Goyal

Subjects: “…Sparsity…”
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Sparsity-Aware Orthogonal Initialization of Deep Neural Networks by Kiara Esguerra, Muneeb Nasir, Tong Boon Tang, Afidalina Tumian, Eric Tatt Wei Ho

“…SAO constructs a sparse network topology leveraging Ramanujan expander graphs to assure connectivity and assigns orthogonal weights to attain approximate dynamical isometry. Sparsity in SAO networks is tunable prior to model training. …”
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A Survey on Sparsity Exploration in Transformer-Based Accelerators by Kazi Ahmed Asif Fuad, Lizhong Chen

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Dust Image Depth Prediction Based on Feature Sparsity by Huimin JIA, Yuanyu WANG

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Conjugate Gradient Iterative Hard Thresholding for Structured Sparsity by Jeffrey D. Blanchard

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Sparsity‐based autoencoders for denoising cluttered radar signatures by Shobha Sundar Ram, Shelly Vishwakarma, Akanksha Sneh, Kainat Yasmeen

“…Furthermore, the incorporation of sparsity and depth in the hidden layer representations within the autoencoder makes the algorithm more robust to low signal‐to‐noise ratio (SNR) and label mismatch between clean and corrupt data during training than the conventional single‐layer DAE. …”
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Minimum Error Entropy Algorithms with Sparsity Penalty Constraints by Zongze Wu, Siyuan Peng, Wentao Ma, Badong Chen, Jose C. Principe

“…Recently, sparse adaptive learning algorithms have been developed to exploit system sparsity as well as to mitigate various noise disturbances in many applications. …”
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An Affine Combination of Adaptive Filters for Channels with Different Sparsity Levels by M. Butsenko, T. Trump

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Sparsity-based method for ring artifact elimination in computed tomography. by Mona Selim, Essam A Rashed, Mohammed A Atiea, Hiroyuki Kudo

“…We propose to minimize some sparsity-induced norms corresponding to the imperfect error components to effectively eliminate the ring artifact. …”
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