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Papers matching “effective approximation” 78

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Numerical analysis of effective models for flux-tunable transmon systems
2022 Physical Review A article Computer Science Quantum Information and Cryptography Open access

Hannes Lagemann, Dennis Willsch, Madita Willsch, Fengping Jin, Hans A. De Raedt, Kristel F. L. Michielsen

5

citations
Effective heat conductivity of a composite with hexagonal lattice of perfectly conducting circular inclusions: An analytical solution
2022 ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik article Computer Science Advanced Mathematical Modeling in Engineering Open access

Igor V. Andrianov, Jan Awrejcewicz, Galina A. Starushenko, Serhii Andriiovych Kvitka

1

citations
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms
2021 IEEE Transactions on Evolutionary Computation article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich

40

citations
Calculation of Effective Characteristics of a 2D Composite with Rhombic Voids Using an Inhomogeneous Cell Model
2023 Symmetry article Computer Science Advanced Mathematical Modeling in Engineering Open access

Igor V. Andrianov, Galina A. Starushenko, Serhii Andriiovych Kvitka

0

citations
Polynomial Time Quantum Approximation Schemes for Constrained Optimisation
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Kristel F. L. Michielsen

0

citations
Investigating The Effect of Language Models in Sequence Discriminative Training For Neural Transducers
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis

Zijian Győző Yang, Wei Guo Zhou, Ralf Schlüter, Hermann Ney

0

citations
Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Speech Recognition and Synthesis Open access

Zijian Yang, Wei Guo Zhou, Ralf Schlüter, Hermann Ney

0

citations
Embedded Corrector Problems for Homogenization in Linear Elasticity
2025 Multiscale Modeling and Simulation article Computer Science Advanced Mathematical Modeling in Engineering

Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

1

citations
Efficient Sparsification of Simplicial Complexes via Local Densities of States
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Anton Savostianov, Michael T. Schaub, Nicola Guglielmi, Francesco Tudisco

0

citations
Embedded corrector problems for homogenization in linear elasticity
2023 HAL (Le Centre pour la Communication Scientifique Directe) article Computer Science Advanced Mathematical Modeling in Engineering Open access

Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

0

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

2

citations
Gradient descent for deep matrix factorization: Dynamics and implicit bias towards low rank
2023 Applied and Computational Harmonic Analysis article Computer Science Stochastic Gradient Optimization Techniques

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

14

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias Towards Low Rank
2022 SSRN Electronic Journal preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

5

citations
Real-time simulations of transmon systems with time-dependent Hamiltonian models
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Hannes Lagemann

0

citations
Space-time adaptive methods for poroviscoelastic flow models
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Mathematical Modeling in Engineering Open access

Simon Boisserée

0

citations
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping, Andrea Vandin, Michael Schaub, Mirco Tribastone, +1 more

0

citations
Curriculum reinforcement learning for quantum architecture search under hardware errors
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci

7

citations
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
2025 JuSER (Forschungszentrum Jülich) conference-paper Computer Science Neural Networks and Applications Open access

Noa Rubin, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, M. Krämer, +1 more

0

citations
Repulsive surfaces
2021 ACM Transactions on Graphics article Computer Science Computer Graphics and Visualization Techniques Open access cited by 1 patent

Chris Yu, Caleb Brakensiek, H. Ralph Schumacher, Keenan Crane

30

citations
MO-SMAC: Multiobjective Sequential Model-Based Algorithm Configuration
2025 Evolutionary Computation article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Jeroen Rook, Carolin Benjamins, Jakob Bossek, Heike Trautmann, Holger H. Hoos, Marius Lindauer

8

citations
High-Fidelity Point-Based Rendering of Large-Scale 3-D Scan Datasets
2020 IEEE Computer Graphics and Applications article Computer Science Computer Graphics and Visualization Techniques

Timothy Blut, Christian Mattes, Leif P. Kobbelt

7

citations
Extending Neural Network Verification to a Larger Family of Piece-wise Linear Activation Functions
2023 Electronic Proceedings in Theoretical Computer Science article Computer Science Formal Methods in Verification Open access

László Antal, Hana Masara, Erika Ábrahám

4

citations
Generalizing neural network verification to the family of piece-wise linear activation functions
2025 Science of Computer Programming article Computer Science Formal Methods in Verification Open access

László Antal, Erika Ábrahám, Hana Masara

3

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
Curriculum Approximate Unlearning for Session-based Recommendation
2025 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xinyi Li

0

citations