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Papers matching “optimization model” 218

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Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

William De Deyn, Michaël Herty, Giovanni Samaey

0

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
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

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
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
A consensus-based algorithm for multi-objective optimization and its mean-field description
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

0

citations
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich

1

citations
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Dominik Baumann

0

citations
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, +1 more

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
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
Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Alessandro Riccardi, Thom Badings, Luca Laurenti, Alessandro Abate, Bart De Schutter

0

citations
Minimizing Quantized Semantic Age of Information (QSAoI) in Foundation Model-Based Semantic Communications
2026 arXiv (Cornell University) preprint Computer Science Age of Information Optimization Open access

Huanyu Zhang, Yulin Hu, Xiaopeng Yuan, Aydin Sezgin, Anke Schmeink

0

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2022 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

1

citations
Amortized Molecular Optimization via Group Relative Policy Optimization
2026 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Muhammad bin Javaid, Hasham Hussain, Ashima Khanna, Berke Kisin, Jonathan Pirnay, Alexander Mitsos, +2 more

0

citations
Autoencoder-enabled Model Portability for Reducing Hyperparameter Tuning Efforts in Side-channel Analysis
2023 Research Square preprint Computer Science Cryptographic Implementations and Security Open access

Marina Krček, Guilherme Perin

1

citations
Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova

0

citations
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis
2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Luise F. Kaven, Artur M. Schweidtmann, Jana Israel, Nadja Wolter, Alexander Mitsos

0

citations
Multi-objective Optimization of Long-run Average and Total Rewards
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Tim Quatmann, Joost-Pieter Katoen

0

citations
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy
2026 arXiv (Cornell University) preprint Computer Science Software Engineering Research Open access

Elisa Chiarotto, Jingbo Li, P. Chris Broekema, Rob V. van Nieuwpoort

0

citations
Token-Level Credit Assignment Optimization for Generative Document Retrieval
2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Xinpeng Zhao, Yang Liu, Ran Chen, Xinyu Ma, Daiting Shi, Pengjie Ren, +3 more

0

citations
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg

0

citations
Bayesian Optimization via Continual Variational Last Layer Training
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek

0

citations