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Papers matching “function calls” 24

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On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Blai Bonet, Dominik Drexler, Héctor Geffner

0

citations
Exact Bayesian Inference for Loopy Probabilistic Programs using Generating Functions
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Lutz Klinkenberg, Mingshuai Chen

1

citations
Does a Program Yield the Right Distribution? Verifying Probabilistic Programs via Generating Functions
2022 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Mingshuai Chen, Joost-Pieter Katoen, Lutz Klinkenberg

1

citations
Error exponent of activated non-signaling assisted classical-quantum channel coding
2024 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Aadil Oufkir, Marco Tomamichel, Mario Berta

1

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations
Tangles and Hierarchical Clustering
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Eva Fluck

1

citations
Relatively Complete Verification of Probabilistic Programs
2020 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Kevin Batz, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja

0

citations
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
2020 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Laurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring

9

citations
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
2022 Research Square preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Charles Moussa, Hao Wang, Thomas Bäck, Vedran Dunjko

1

citations
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples
2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner

0

citations
On the expressivity of embedding quantum kernels
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

0

citations
A Functional Analysis Approach to Symbolic Regression
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Bas van Stein, Anna V. Kononova

0

citations
Sector length distributions of recursively definable graph states through analytic combinatorics
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Eloïc Vallée, Kenneth Goodenough, Paul E. Gunnells, Tim Coopmans, Jordi Tura

0

citations
A Flexible Cell Classification for ML Projects in Jupyter Notebooks
2024 arXiv (Cornell University) preprint Computer Science Software Engineering Research Open access

Selin Aydın, Horst Lichter

0

citations
Can Compact Optimisation Algorithms Be Structurally Biased?
2020 Preprints.org preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck

3

citations
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

2

citations
Generating Functions Meet Occupation Measures: Invariant Synthesis for Probabilistic Loops (Extended Version)
2026 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Darion Haase, Kevin Batz, Adrian Gallus, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Lutz Klinkenberg, +1 more

1

citations
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks
2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew

1

citations
All this for one qubit? Bounds on local circuit cutting schemes
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Simon C. Marshall, Vedran Dunjko

1

citations
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Kirill Antonov, Marijn E. Siemons, Bas van Stein, Thomas Bäck, Ralf Kohlhaas, Anna V. Kononova

1

citations
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, +1 more

0

citations
Ontology pre-training improves machine learning-based predictions for metabolites
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Charlotte Tumescheit, Martin Glauer, Simon Flügel, Martin F. Larralde, Fabian Neuhaus, Till Mossakowski, +1 more

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
Efficient Supernet Training with Orthogonal Softmax for Scalable ASR Model Compression
2025 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Jingjing Xu, Eugen Beck, Zijian Győző Yang, Ralf Schlüter

0

citations

24 results