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Papers matching “distributed parameter model” 53

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Combining sequential model-based algorithm configuration with default-guided probabilistic sampling
2020 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research

Marie Anastacio, Holger H. Hoos

2

citations
Two-step and explosive synchronization in frequency-weighted Kuramoto model
2024 Physica D Nonlinear Phenomena article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Sara Ameli, Keivan Aghababaei Samani

6

citations
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism
2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Synthesizing optimal bias in randomized self-stabilization
2021 Distributed Computing article Computer Science Distributed systems and fault tolerance Open access

Matthias Volk, Borzoo Bonakdarpour, Joost-Pieter Katoen, Saba Aflaki

3

citations
Dual phase‐field model for immiscible fluid flow through fractured unsaturated porous media
2024 PAMM article Computer Science Advanced Mathematical Modeling in Engineering Open access

Yousef Heider, Bernd A. Markert

3

citations
Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions
2020 Evolutionary Computation article Computer Science Evolutionary Algorithms and Applications Open access

Tanja Alderliesten

125

citations
Fast and robust Bayesian inference using Gaussian processes with GPry
2023 Journal of Cosmology and Astroparticle Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

21

citations
Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Luc P. J. Sträter, Hazel Doughty

0

citations
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Juan Agustin Duque, Sergio García Heredia, Vinicius Hernandes, Eliška Greplová, Thomas Spriggs, Aaron Courville, +1 more

0

citations
Soft Preference Optimization: Aligning Language Models to Expert Distributions
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Arsalan Sharifnassab, Saber Salehkaleybar, Sina Ghiassian, Surya Kanoria, Dale Schuurmans

0

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
Automatic Modulation Classification Based on Decentralized Learning and Ensemble Learning
2022 IEEE Transactions on Vehicular Technology article Computer Science Wireless Signal Modulation Classification

Xue Gang Fu, Guan Gui, Yu Wang, Haris Gacanin, Fumiyuki Adachi

76

citations
Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes
2020 Procedia Manufacturing article Computer Science Reinforcement Learning in Robotics Open access

Christian Scheiderer, Timo Thun, Christian Idzik, Andrés Felipe Posada-Moreno, Alexander Krämer, Johannes Lohmar, +2 more

23

citations
Scenario-Based Verification of Uncertain MDPs
2020 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu

20

citations
Precise Earthquake Distribution and Seismic Velocity Models in the Western Saronic Gulf, Greece, based on the MeMaX Experiment
2026 conference-abstract Computer Science Seismology and Earthquake Studies Open access

Jan-Phillip Föst, Joachim R R Ritter, Christos Evangelidis, Efthimios N. Sokos, Nicole Richter, Klaus R. Reicherter

0

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

citations
Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zhipei Qin, Mohammad Shokri, N. van Weeren, F.W. Takes

0

citations
Mixture distributions as exponential families
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Bayesian Methods and Mixture Models Open access

Zhe Su

0

citations
QUANTUM MACHINE LEARNING FOR HEP DETECTOR SIMULATIONS
2021 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access

Florian Rehm, Sofia Vallecorsa, K. Borras, Dirk Krücker

6

citations
Variational quantum generative modeling by sampling expectation values of tunable observables
2025 npj Quantum Information article Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Adrián Pérez-Salinas, Elvira Shishenina, Vedran Dunjko, Hao Wang

0

citations
Investigations on neural networks, discriminative training criteria and error bounds
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Speech Recognition and Synthesis Open access

Markus Nußbaum-Thom

0

citations
V‐UNet: Medical Image Segmentation Based on Variational Attention Mechanism
2025 CAAI Transactions on Intelligence Technology article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent

Yang Zhang, Qiang Yang, Li Tian, Fanghong Zhang, Yu Ren, Yinhao Li, +1 more

2

citations