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Papers matching “soft thresholding” 11

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Next-to-soft threshold effects on Higgs boson production via bottom quark annihilation
2024 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Goutam Das, Aparna Sankar

1

citations
Iterative thresholding low-rank time integration
2025 RWTH Publications (RWTH Aachen) preprint Mathematics Numerical Solvers for Ordinary Differential Equations Open access

Markus Bachmayr, Matthieu Dolbeault, Polina Sachsenmaier

4

citations
Iterative thresholding low-rank time integration for high-dimensional problems
2026 arXiv (Cornell University) preprint Mathematics Numerical Solvers for Ordinary Differential Equations Open access

Markus Bachmayr, Tianyu Jin, Polina Sachsenmaier, Federico Vismara

0

citations
Threshold resummation for gluon fusion $ZH$ production at the LHC
2026 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Goutam Das, Chinmoy Dey, M. Ganesh Kumar, Kajal Samanta

0

citations
Threshold Resummation of Drell-Yan type colorless processes at LHC
2026 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Goutam Das, Chinmoy Dey, M. Ganesh Kumar, Kajal Samanta

0

citations
Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV
2024 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

S. R. Paredes Saenz

1

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

0

citations
$Z, W^{\pm}$ rapidity distributions at NNLL and beyond
2023 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Goutam Das

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

3

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

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

11 results