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Papers matching “input reduction” 44

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Mechanical compaction mechanisms in the input sediments of the Sumatra Subduction Complex- insights from microstructural analysis of cores from IODP Expedition- 362
2022 preprint Earth and Planetary Sciences Geological formations and processes Open access

Sivaji Lahiri, Kitty Lou Milliken, Peter J. Vrolijk, Guillaume Desbois, Janos Lajos Urai

4

citations
Hyperreduction accelerates finite element model updating for the discovery of neural materials
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Hagen Holthusen, Matthias Knipper, Kevin Linka

0

citations
C$^2$-Routing: Complementary Cropping and Compression for Efficient Vision-Language Inference
2026 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Guorui Lu, Qinyu Chen

0

citations
Shapley-based Structural Analysis of Neural Calibration for Stochastic Volatility Models
2026 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Shaïn Afzali, Serena Della Corte, Antonis Papapantoleon

0

citations
Accelerating phase-field-based simulation via machine learning
2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Iman Peivaste, Nima Hamidi Siboni, Ghasem Alahyarizadeh, Reza Ghaderi, Bob Svendsen, Dierk Raabe, +1 more

2

citations
Application of batch learning for boosting high-throughput ab initio success rates and reducing computational effort required using data-driven processes
2023 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Robin Hilgers, Daniel Wortmann, Stefan Blügel

1

citations
Deep and accurate detection of m 6 A RNA modifications using miCLIP2 and m6Aboost machine learning
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology RNA modifications and cancer Open access

Nadine Körtel, Cornelia Rücklé, You Zhou, Anke Busch, Peter Hoch-Kraft, F.X. Reymond Sutandy, +12 more

3

citations
Light-driven CO2 capture with photoacids: from concept to scalable technology
2025 ChemRxiv preprint Chemical Engineering Carbon Dioxide Capture Technologies Open access

Anna de Vries, Lisa Rueben, Philipp Rehner, Gustavo Chaparro, Hendrik Schricker, Laura Henz, +2 more

2

citations
Light-driven CO2 capture with photoacids from concept to scalable technology
2025 ChemRxiv preprint Chemical Engineering Carbon Dioxide Capture Technologies Open access

Anna de Vries, Lisa Rueben, Philipp Rehner, Hendrik Schricker, Laura Henz, André Bardow, +1 more

1

citations
BrainFocus: EEG-Guided ROI Selection for Efficient Vision-Language Models
2026 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Yihui Peng, G. Lu, Qinyu Chen

1

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
Exploiting Strict Constraints in the Cylindrical Algebraic Covering
2023 arXiv (Cornell University) preprint Computer Science Polynomial and algebraic computation Open access

Philipp Bär, Jasper Nalbach, Erika Ábrahám, Christopher W. Brown

1

citations
Machine Learning-Based AP Selection in User-Centric Cell-free Multiple-Antenna Networks
2025 arXiv (Cornell University) preprint Engineering Advanced MIMO Systems Optimization Open access

Shirin Salehi, S. Mashdour, Orhun Tamyigit, Sadra Seyedmasoumian, Majid Moradikia, Rodrigo C. de Lamare, +1 more

1

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

1

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

0

citations
Future Economic Perspective and Potential Revenue of Non-Subsidized Wind Turbines in Germany
2020 preprint Energy Renewable Energy and Sustainability Open access

Lucas Blickwedel, Freia Harzendorf, Ralf Schelenz, Georg Jacobs

0

citations
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning - Part I: Conceptual framework and equation generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

0

citations
Exploring Solver-Level Warmstarting for Neural Network Verification
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Annelot W. Bosman, Minghao Liu, Marta Kwiatkowska, Holger H. Hoos, Jan N. van Rijn

0

citations
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Kai Lagemann, Christian Lagemann, Sach Mukherjee

1

citations
Controllability of continuous networks and a kernel-based learning approximation
2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Michaël Herty, Chiara Segala, Giuseppe Visconti

0

citations
Rotation Equivariant Operators for Machine Learning on Scalar and Vector Fields
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Venkat Viswanathan

0

citations
Influence of adversarial training on super-resolution turbulence reconstruction
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Ludovico Nista, Christoph Schumann, Mathis Bode, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +1 more

0

citations
The Complexity of Online Graph Games
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Janosch Fuchs, Christoph Grüne, Tom Janßen

0

citations
The Complexity Classes of Hamming Distance Recoverable Robust Problems
2022 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christoph Grüne

1

citations
Learning when to use physical relationships in scientific machine learning
2026 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Han Zhou, Shiwen Wang, Mengni Huo, Zhongyou Peng, Licheng Tan, Bor Yann Liaw, +4 more

0

citations