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Papers matching “sparse optimization” 48

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Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex
2024 SIAM Journal on Matrix Analysis and Applications article Computer Science Matrix Theory and Algorithms

Anton Savostianov, Francesco Tudisco, Nicola Guglielmi

0

citations
Machine learning based conditional mean filter: a non-linear extension of the ensemble Kalman filter
2021 conference-abstract Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Truong‐Vinh Hoang, Sebastian Krumscheid, Raul F. Tempone

2

citations
Rational Spectral Filters with Optimal Convergence Rate
2021 SIAM Journal on Scientific Computing article Computer Science Matrix Theory and Algorithms Open access

Konrad Kollnig, Paolo Bientinesi, Edoardo Di Napoli

2

citations
A survey of deep learning in image processing: developments, applications and challenges
2026 Artificial Intelligence Review article Computer Science Advanced Neural Network Applications Open access

Zhan Xiong, Xiaoqin Tang, Fons Verbeek

0

citations
JuliaGPU/GPUArrays.jl: v11.5.2
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Parallel Computing and Optimization Techniques Open access

Tim Besard, Simon, Valentin Churavy, Katharine Hyatt, Christian Guinard, Harmen Stoppels, +21 more

0

citations
JuliaGPU/GPUArrays.jl: v11.5.11
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Parallel Computing and Optimization Techniques Open access

Tim Besard, Simon, Valentin Churavy, Katharine Hyatt, Christian Guinard, Harmen Stoppels, +21 more

0

citations
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2025 Cambridge University Press eBooks paratext Computer Science Quantum Computing Algorithms and Architecture Open access

Sam McArdle, Connor T. Hann, Aleksander Kubica, Fernando G. S. L. Brandão

0

citations
Entropy Coding for Non-Rectangular Transform Blocks Using Partitioned DCT Dictionaries for AV1
2026 DCC conference-abstract Computer Science Video Coding and Compression Technologies Open access

Priyanka Das, Mathias Wien

0

citations
JuliaGPU/GPUArrays.jl: v11.5.10
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Parallel Computing and Optimization Techniques Open access

Tim Besard, Simon, Valentin Churavy, Katharine Hyatt, Christian Guinard, Harmen Stoppels, +21 more

0

citations
Reinforcement Learning with Verifiable Rewards for Small Search Agents
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Gaurisankar Jayadas, Aske Plaat, Álvaro Serra-Gómez, Sandheep P

0

citations
EXCELLERATP2 D3.2 First Updated Report on Exa-Enabling Methodologies
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Parallel Computing and Optimization Techniques Open access

Ansgar Niemöller, Matthias H. Meinke, Joeffrey Legaux, Mohamed Ibrahim Ghenai, Michael Wagner, Tufan Arslan, +12 more

0

citations
TinyAD: Automatic Differentiation in Geometry Processing Made Simple
2022 Computer Graphics Forum article Computer Science Computer Graphics and Visualization Techniques Open access

Patrick Schmidt, Janis Born, David Bommes, Marcel Campen, Leif P. Kobbelt

21

citations
Learning Robust Sequential Recommenders through Confident Soft Labels
2024 ACM Transactions on Information Systems article Computer Science Recommender Systems and Techniques Open access

Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, +1 more

1

citations
Learning Robust Sequential Recommenders through Confident Soft Labels
2023 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, +1 more

0

citations
Constrained Auto-Regressive Decoding Constrains Generative Retrieval
2025 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Information Retrieval and Search Behavior Open access

Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, +2 more

3

citations
Distortion Audio Effects: Learning How to Recover the Clean Signal
2022 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji

1

citations
Nicht-parametrische Schätzung von Kundensegmenten mit Paneldaten
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Bayesian Methods and Mixture Models Open access

Johannes Ferdinand Jörg

1

citations
SuperElastix/elastix: 5.3.0
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Medical Image Segmentation Techniques Open access

Niels Dekker, Marius Staring, Stefan Klein, Kasper Marstal, Coert Metz, Denis P. Shamonin, +24 more

0

citations
Solving Partial Dominating Set and Related Problems Using Twin-Width
2025 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Jakub Balabán

0

citations
Communication-Efficient Multi-Party Computation for RMS Programs
2024 IACR Communications in Cryptology article Computer Science Cryptography and Data Security Open access

Thomas Attema, Aron van Baarsen, Stefan van den Berg, Pedro Capitão, Vincent Dunning, Lisa Kohl

0

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Solving Partial Dominating Set and Related Problems Using Twin-Width
2025 RWTH Publications (RWTH Aachen) preprint Computer Science Advanced Graph Theory Research Open access

Jakub Balabán, Daniel Mock, Peter Rossmanith

0

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations