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Papers matching “analytical results” 25

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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
Analyzing variational quantum landscapes with information content
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Adrián Pérez-Salinas, Hao Wang, Xavier Bonet-Monroig

1

citations
Identifying Properties of Real-World Optimisation Problems through a Questionnaire
2020 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, +2 more

7

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
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

0

citations
Approximating fixed size quantum correlations in polynomial time
2025 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Julius A. Zeiss, Gereon Koßmann, Omar Fawzi, Mario Berta

0

citations
Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic
2021 medRxiv preprint Computer Science Research Data Management Practices Open access

Núria Queralt-Rosiñach, Rajaram Kaliyaperumal, César H. Bernabé, Qinqin Long, Simone A. Joosten, Erik L.A. Flikkenschild, +3 more

5

citations
Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries
2021 SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Gonzalo Munilla Garrido, Joseph P. Near, Muhammad Aitsam, Warren He, Roman Matzutt, Florian Matthes

1

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
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Adamantios Koumpis, +1 more

0

citations
FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Samar Samir Khalil, Noha S. Tawfik, Marco René Spruit

0

citations
MMD-Newton Method for Multi-objective Optimization
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Chenyu Shi, Angel E. Rodríguez-Fernandez, Oliver Schütze

0

citations
Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
2026 arXiv (Cornell University) preprint Computer Science Distributed Sensor Networks and Detection Algorithms Open access

Paul Zheng, Yao Zhu, Xiaopeng Yuan, Yulin Hu, Anke Schmeink

0

citations
Smooth Kolmogorov Arnold networks enabling structural knowledge representation
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Moein E. Samadi, Younes Müller, Andreas Schuppert

14

citations
Equivariant quantum circuits for learning on weighted graphs
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko

3

citations
ReportLogic: Evaluating Logical Quality in Deep Research Reports
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, +1 more

0

citations
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Average Distance Approximation for Static Large Graphs
2026 arXiv (Cornell University) preprint Computer Science Graph Theory and Algorithms Open access

Kartikey Ahlawat

0

citations
Universality and kernel-adaptive training for classically trained, quantum-deployed generative models
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Susanne Pielawa, Hao Wang, Vedran Dunjko

0

citations
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping, Andrea Vandin, Michael T. Schaub, Mirco Tribastone, +1 more

0

citations
Exposing Finite-Depth, Finite-Shot Guarantees for Constrained Quantum Optimization via Fejér Filtering
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Kristel F. L. Michielsen

0

citations
Superadditivity for Entanglement-Assisted Communication
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Hao-Chung Cheng, Mario Berta

0

citations
Unfolding recurrence by Green's functions for optimized reservoir computing
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias

0

citations
Speed Limits for Deep Learning
2023 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Inbar Seroussi, Alexander A. Alemi, Moritz Helias, Zohar Ringel

0

citations
ReportLogic: Evaluating Logical Quality in Deep Research Reports
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, +1 more

0

citations

25 results