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Papers matching “sparse optimization” 25

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TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Bas van Stein

0

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Yang Liu, Fajie Yuan, Pengjie Ren, Zhumin Chen

0

citations
Sparse Reconstruction of Multi-Dimensional Kinetic Distributions
2025 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Georgii Oblapenko, Manuel Torrilhon, Michaël Herty

0

citations
Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Wadjih Bencheikh, Jan Finkbeiner, Emre Neftci

0

citations
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

0

citations
Automatic Compiler-Based Data Structure Generation
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Kristian F. D. Rietveld, Harry A. G. Wijshoff

1

citations
Optimization-Free Diffusion Model -- A Perturbation Theory Approach
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yuehaw Khoo, Mathias Oster, Yifan Peng

0

citations
Sparse probabilistic evaluation for treatment planning: a feasibility study in IMPT head & neck patients
2026 arXiv (Cornell University) preprint Physics and Astronomy Advanced Radiotherapy Techniques Open access

Jenneke I. de Jong, Steven Habraken, Albin Fredriksson, Johan Sundström, Erik Engwall, Sebastiaan Breedveld, +1 more

0

citations
WarpMPC: Large-Batch MPC on GPU via ADMM with Unrolled $LDL^\top$ Factorization
2026 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Se Hwan Jeon, Charles Khazoom, Sangbae Kim, Sebastian Trimpe

0

citations
More is Less: Inducing Sparsity via Overparameterization
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

1

citations
Asymptotic Log-Det Rank Minimization via (Alternating) Iteratively Reweighted Least Squares
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Sebastian Krämer

1

citations
Compressive Sensing and Neural Networks from a Statistical Learning Perspective
2020 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Arash Behboodi, Holger Rauhut, Ekkehard Schnoor

1

citations
A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Protein Structure and Dynamics Open access

Alexander-Maurice Illig, Niklas E. Siedhoff, Ulrich Schwaneberg, Mehdi D. Davari

11

citations
MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jona te Lintelo, Lichao Wu, Marina Krček, Sengim Karayalçın, Stjepan Picek

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
Mixture-of-Experts Enhanced Dynamic Algorithm Configuration for Multi-Objective Flexible Job Shop Scheduling
2026 SSRN Electronic Journal preprint Engineering Scheduling and Optimization Algorithms Open access

Ting Wang, Wei Liu, Xingxing Hao, Li Chen, Rong Qu

0

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
Estimating 2010–2015 Anthropogenic and Natural Methane Emissions in Canada using ECCC Surface and GOSAT Satellite Observations
2021 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Sabour Baray, Daniel J Jacob, Joannes D. Maasakkers, Jian‐Xiong Sheng, Melissa Payer Sulprizio, Dylan B. A. Jones, +2 more

17

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
On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks
2023 arXiv (Cornell University) preprint Mathematics Random Matrices and Applications Open access

Ansgar Steland

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 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

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

0

citations
Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marah Almanasreh, Alexander Mitsos, Eike Cramer

0

citations
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
2024 arXiv (Cornell University) preprint Engineering Optimal Power Flow Distribution Open access

Hinrikus Wolf, Luis Böttcher, Sarra Bouchkati, Philipp Lutat, Jens Breitung, Bastian Jung, +5 more

0

citations
Endovascular Treatment of Symptomatic Vasospasm and Delayed Cerebral Ischemia after Aneurysmal Subarachnoid Hemorrhage – a Systematic Review and Meta-analysis
2025 medRxiv preprint Medicine Intracranial Aneurysms: Treatment and Complications Open access

Michael Veldeman, Tobias Rossmann, Roel H. L. Haeren, Hanna E. Schenck, Rahul Raj, Charlotte S. Weyland

0

citations

25 results