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Papers matching “empirical validation” 21

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Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network
2025 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

0

citations
Adapting Software Architectures to Machine Learning Challenges
2021 arXiv (Cornell University) preprint Computer Science Advanced Software Engineering Methodologies Open access

Alex Serban, Joost Visser

0

citations
Shadows of quantum machine learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko

0

citations
Data-Driven and Cycle-Agnostic Covariate Selection for Nonparametric Causal Effect Estimation
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Ana Letícia Garcez Vicente, Gijs van Seeventer, Saber Salehkaleybar

0

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
ACTIVA: Amortized Causal Effect Estimation via Variational Autoencoders
2025 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Saber Salehkaleybar, Frank van Harmelen, Aske Plaat, Erman Acar

4

citations
Fine-grained Expressivity of Graph Neural Networks
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Böker, Ron Levie, Ningyuan Teresa Huang, Soledad Villar

4

citations
Non-Linear Scoring Model for Translation Quality Evaluation
2025 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Serge Gladkoff, Lifeng Han, Katerina Gasova

3

citations
Convergence of gradient based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

3

citations
Probabilistic Graph Rewiring via Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Andrei Manolache, Mathias Niepert

1

citations
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
2025 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

1

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

1

citations
Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Vasily Bokov, Sebastian Schmitt, Vedran Dunjko, Hao Wang

0

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
WL meet VC
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Floris Geerts, Jan Tönshoff, Martin Grohe

0

citations
Optimal Subgroup Discovery at Every Support Threshold
2026 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Qi Huang, Bas van Stein, Thomas Bäck, Matthijs van Leeuwen, Zhong Li

0

citations
Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Hielke Muizelaar, Giulia Rivetti, Marco René Spruit, M. Haas

0

citations
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

0

citations
Weisfeiler-Leman at the margin: When more expressivity matters
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ameya Velingker, Floris Geerts

0

citations
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, +10 more

0

citations
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, +10 more

0

citations

21 results