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Papers matching “generalization guarantees” 20

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Shifting-based Optimizable Linear Relaxations for General Activation Functions
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Philipp Kern, László Antal, Erika Ábrahám, Carsten Sinz

0

citations
Supervised Learning with Quantum Hamiltonian Embeddings
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riccardo Molteni, Minjun Jeon, Paolo Braccia, Abhinav Deshpande, Vedran Dunjko, Liang Jiang, +5 more

0

citations
Cautious optimism for deep parameterized quantum circuits
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto, Aroosa Ijaz, Alissa Wilms, Jens Eisert, +2 more

1

citations
Which Algorithms Can Graph Neural Networks Learn?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, +1 more

4

citations
Quantum Advantage in Learning Quantum Dynamics via Fourier coefficient extraction
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

6

citations
Approximation Algorithms for Discounted Graph Search with Norm Objectives
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Svenja M. Griesbach, Felix Hommelsheim, Max Klimm

0

citations
Existence of Minimizers for the Gaussian Mumford-Shah Model via Covariance Floors on the Value Distribution
2026 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Faian Conrad

0

citations
Approximation Algorithms for Discounted Graph Search with Norm Objectives
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Svenja M. Griesbach, Felix Hommelsheim, Max Klimm

0

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
Accurately Solving Physical Systems with Graph Learning
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Tassilo Kugelstadt, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels

4

citations
Optimal recovery and uncertainty quantification for distributed Gaussian process regression
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Tammo Hesselink, Botond Szabó

3

citations
Optimal strategies for shadow tomography with limited resources
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Zhen-Peng Xu, Qi Ye, Jie Wang, Gereon Koßmann, Andreas Winter, René Schwonnek

1

citations
Organizing Scientific Knowledge From Energy System Research Using the Open Research Knowledge Graph
2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access

Oliver Karras, Jan Göpfert, Patrick Kuckertz, Tristan Pelser, Sören Auer

1

citations
The Restricted Isometry Property for Measurements from Group Orbits
2025 arXiv (Cornell University) preprint Computer Science Sparse and Compressive Sensing Techniques Open access

Hartmut Führ, Timm Gilles

1

citations
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
Combining Confidential Computing and Unikernels for Lightweight Confidential Computing
2025 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Security and Verification in Computing Open access

0

citations
Some Might Say All You Need Is Sum
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Toenshoff, Martin Grohe

0

citations
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization
2020 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Chu Yi, Chuan Wen Luo, Holger H. Hoos, Qingwei Lin, Haihang You

0

citations
Combining Confidential Computing and Unikernels for Lightweight Confidential Computing
2025 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Security and Verification in Computing Open access

Louis Vialar, Jonathan Klimt, Sarah Simon, Pascal A. Felber

0

citations
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn

0

citations

20 results