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Papers matching “work function” 89

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Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

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

0

citations
Global synchronization of topological signals with time-delayed interactions
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Wilfried Segnou, Thierry Njougouo, Diego Garlaschelli, Timotéo Carletti

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
Potential-based Reward Shaping in Sokoban
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Zhao Yang, Mike Preuß, Aske Plaat

1

citations
Faster optimal univariate microgaggregation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Felix I. Stamm, Michael T. Schaub

0

citations
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
Combining Automated Optimisation of Hyperparameters and Reward Shape
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Holger H. Hoos, Sebastian Trimpe

0

citations
MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more

3

citations
Polynomial Time Quantum Gibbs Sampling for Fermi-Hubbard Model at any Temperature
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Štěpán Šmíd, Richard J. Meister, Mario Berta, Roberto Bondesan

0

citations
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

2

citations
Quantum Synchronization of Fock States
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Fabian Hassler, David Scheer, Samah Saquaque, Steven Kim

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
Recurrent Natural Policy Gradient for POMDPs
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
Reinforcement Learning with Verifiable Rewards for Small Search Agents
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Gaurisankar Jayadas, Aske Plaat, Álvaro Serra-Gómez, Sandheep P

0

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
The Unreasonable Effectiveness of the Final Batch Normalization Layer
2021 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Veysel Kocaman, Ofer M. Shir, Thomas Baeck

1

citations
Fundamental Quality Bound on Optical Quantum Communication
2025 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Tobias Rippchen, Ludovico Lami, Gerardo Adesso, Mario Berta

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
Linear time reconstruction by discrete tomography in three dimensions
2020 arXiv (Cornell University) preprint Computer Science Digital Image Processing Techniques Open access

Matthew Ceko, Silvia M.C. Pagani, Rob Tijdeman

0

citations
Using Affine Combinations of BBOB Problems for Performance Assessment
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Furong Ye, Carola Doerr

1

citations
A linear time approach to three-dimensional reconstruction by discrete tomography
2020 arXiv (Cornell University) preprint Computer Science Digital Image Processing Techniques Open access

Matthew Ceko, Silvia M.C. Pagani, Rob Tijdeman

0

citations
Snapquery: FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Semantic Web and Ontologies Open access

Wolfgang Fahl, Christoph Lange, Tim Holzheim, Stefan Decker

0

citations
Snapquery: FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Semantic Web and Ontologies Open access

0

citations
Quantum machine learning advantages beyond hardness of evaluation
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riccardo Molteni, Simon C. Marshall, Vedran Dunjko

0

citations
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Fu Xing Long, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck, Bas van Stein

0

citations