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Papers matching “differentiable optimization” 21

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Differentiable Scripting
2021 arXiv (Cornell University) preprint Computer Science Computational Physics and Python Applications Open access

Uwe Naumann

0

citations
Strong Global Convergence of the Consensus-Based Optimization Algorithm
2025 RWTH Publications (RWTH Aachen) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

citations
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu

4

citations
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
2022 Preprints.org preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

4

citations
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov

1

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
Differentiable Semantic ID for Generative Recommendation
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, +1 more

0

citations
Differentiable Semantic ID for Generative Recommendation
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, +1 more

0

citations
Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Sadegh Khorasani, Ali Najar, Saber Salehkaleybar, Negar Kiyavash

0

citations
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang

2

citations
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang

0

citations
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Andre H. Deutz, Michael Emmerich, Hao Wang

0

citations
On the Computational Complexity of the Chain Rule of Differential Calculus
2021 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Uwe Naumann

1

citations
Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming
2021 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Qiuye Wang, Mingshuai Chen, Xue Bai, Naijun Zhan, Joost-Pieter Katoen

1

citations
Continuous limits of residual neural networks in case of large input data
2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, A. Thuenen, T. Trimborn, G. Visconti

1

citations
pyFOOMB: Python Framework for Object Oriented Modelling of Bioprocesses
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Modeling and Simulation Systems Open access

Johannes Hemmerich, Niklas Tenhaef, Wolfgang Wiechert, Stephan Noack

3

citations
Automatic Learning of Subword Dependent Model Scales
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney

0

citations
Encoding inductive invariants as barrier certificates: synthesis via difference-of-convex programming
2022 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Qiuye Wang, Mingshuai Chen, Xue Bai, Naijun Zhan, Joost-Pieter Katoen

0

citations
Improving the Robustness of Large Language Models via Consistency Alignment
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zhao Yukun, Lingyong Yan, Weiwei Sun, Guoliang Xing, Wang Shuaiqiang, Chong Meng, +3 more

4

citations
Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning
2025 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, +1 more

0

citations
Cross-modal linkage risk in clinical vision-language models
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Sven Nebelung, Daniel Truhn

0

citations

21 results