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1000 results for “sparse_array”
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'Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions', by Dapeng Yao, Fangzheng Xie, Yanxun Xu.
http://jmlr.org/papers/v26/23-0142.html
#sparse #clustering #clusters -
Sparse Voxels Rasterization: Real-Time High-Fidelity Radiance Field Rendering
https://svraster.github.io/
#ycombinator #Sparse_Voxel #Voxel #Octree #Rasterization -
'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.
http://jmlr.org/papers/v26/23-1578.html
#sparse #nonparametric #smoothing -
'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.
http://jmlr.org/papers/v26/23-1578.html
#sparse #nonparametric #smoothing -
'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.
http://jmlr.org/papers/v26/23-1578.html
#sparse #nonparametric #smoothing -
'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.
http://jmlr.org/papers/v26/23-1578.html
#sparse #nonparametric #smoothing -
'A minimax optimal approach to high-dimensional double sparse linear regression', by Yanhang Zhang, Zhifan Li, Shixiang Liu, Jianxin Yin.
http://jmlr.org/papers/v25/23-0653.html
#sparse #thresholding #sparsity -
'Generalization on the Unseen, Logic Reasoning and Degree Curriculum', by Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk.
http://jmlr.org/papers/v25/24-0220.html
#sparse #learns #generalization -
'Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK', by Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang.
http://jmlr.org/papers/v25/23-0831.html
#sparse #gradient #generalization -
'White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?', by Yaodong Yu et al.
http://jmlr.org/papers/v25/23-1547.html
#sparse #compressive #encoders -
'skscope: Fast Sparsity-Constrained Optimization in Python', by Zezhi Wang, Junxian Zhu, Xueqin Wang, Jin Zhu, Huiyang Pen, Peng Chen, Anran Wang, Xiaoke Zhang.
http://jmlr.org/papers/v25/23-1574.html
#sparse #optimization #sparsity -
'Sparse Graphical Linear Dynamical Systems', by Emilie Chouzenoux, Victor Elvira.
http://jmlr.org/papers/v25/23-0878.html
#lasso #models #graphical -
'Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces', by Rui Wang, Yuesheng Xu, Mingsong Yan.
http://jmlr.org/papers/v25/23-0645.html
#regularization #sparse #regularized -
'Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces', by Rui Wang, Yuesheng Xu, Mingsong Yan.
http://jmlr.org/papers/v25/23-0645.html
#regularization #sparse #regularized -
'Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces', by Rui Wang, Yuesheng Xu, Mingsong Yan.
http://jmlr.org/papers/v25/23-0645.html
#regularization #sparse #regularized -
'Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces', by Rui Wang, Yuesheng Xu, Mingsong Yan.
http://jmlr.org/papers/v25/23-0645.html
#regularization #sparse #regularized -
'Sparse NMF with Archetypal Regularization: Computational and Robustness Properties', by Kayhan Behdin, Rahul Mazumder.
http://jmlr.org/papers/v25/21-0233.html
#sparse #regularization #robustness -
'Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach', by Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson.
http://jmlr.org/papers/v24/21-1130.html
#sparse #minimization #optimization -
'Importance Sparsification for Sinkhorn Algorithm', by Mengyu Li, Jun Yu, Tao Li, Cheng Meng.
http://jmlr.org/papers/v24/22-1311.html
#sparse #echocardiogram #efficiently -
Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified Sketches
Tamim El Ahmad, Pierre Laforgue, Florence d'Alché-Buc
Action editor: Makoto Yamada.
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'Robust Methods for High-Dimensional Linear Learning', by Ibrahim Merad, Stéphane Gaïffas.
http://jmlr.org/papers/v24/22-0964.html
#sparse #robust #outliers -
'Sparse GCA and Thresholded Gradient Descent', by Sheng Gao, Zongming Ma.
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'MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation', by Qian Li, Binyan Jiang, Defeng Sun.
http://jmlr.org/papers/v24/21-0699.html
#sparse #matrix #penalized -
'Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint', by Michael R. Metel.
http://jmlr.org/papers/v24/22-0615.html
#sparse #minimizing #lipschitz -
'Fundamental limits and algorithms for sparse linear regression with sublinear sparsity', by Lan V. Truong.
http://jmlr.org/papers/v24/21-0543.html
#sparse #sparsity #interpolation -
Sparse distance fields are an efficient representation of complex scene geometry. They can help accelerate techniques like real-time GI 🌅
Our #GDC23 session walks you through the details, with an early look at our NEW #FidelityFX Brixelizer library! 👇
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Sparse Coding with Multi-layer Decoders using Variance Regularization
Katrina Evtimova, Yann LeCun
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'Regularized Joint Mixture Models', by Konstantinos Perrakis, Thomas Lartigue, Frank Dondelinger, Sach Mukherjee.
http://jmlr.org/papers/v24/21-0796.html
#sparse #regularized #mixture -
A geometrical connection between sparse and low-rank matrices and its application to manifold lea...
Lawrence K. Saul
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Solving sparse finite element problems on neuromorphic hardware
https://www.nature.com/articles/s42256-025-01143-2
Free preprint https://arxiv.org/abs/2501.10526
As you solve partial differential equations without noticing with every move you make this is really useful problem solving #ai
As the number of people understanding #FEM (finitite element methods) actually is small this will not be exagarated as #llm.
Because there are more idiots who can talk than engineers who can calculate