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Papers matching “generating functions” 63

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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
Exact Probabilistic Inference Using Generating Functions
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Lutz Klinkenberg, Mingshuai Chen, Joost-Pieter Katoen

1

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
Highly Incremental: A Simple Programmatic Approach for Many Objectives (Extended Version)
2026 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Philipp Schröer, Joost-Pieter Katoen

0

citations
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr

2

citations
Note on the Universality of Parameterized IQP Circuits with Hidden Units for Generating Probability Distributions
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Susanne Pielawa, Hao Wang, Vedran Dunjko

0

citations
Challenges of ELA-guided Function Evolution using Genetic Programming
2023 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, +1 more

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
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
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
Teacher Geometry Shapes Learnability in Teacher-Student Networks
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Kai J. Sandbrink, Flavio Martinelli, Alexander van Meegen, Wulfram Gerstner, Johanni Brea

0

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

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

3

citations
Hardware Security Primitives using Passive RRAM Crossbar Array: Novel TRNG and PUF Designs
2022 arXiv (Cornell University) preprint Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access

Simranjeet Singh, Furqan Zahoor, Gokulnath Rajendran, Sachin Patkar, Anupam Chattopadhyay, Farhad Merchant

1

citations
Upside Down Reinforcement Learning with Policy Generators
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Dylan R. Ashley, Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

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
Generalized LIMDDs: Succinctness and Canonicity for Decision Diagrams Modulo a Group
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Arend-Jan Quist, Alexis de Colnet, Thomas Reps, Alfons Laarman

0

citations
Wavelet-based Loss for High-frequency Interface Dynamics
2022 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Lukas Prantl, Jan Bender, Tassilo Kugelstadt, Nils Thuerey

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
Exponential separations between classical and quantum learners
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Casper Gyurik, Vedran Dunjko

7

citations
New Ideas and Trends in Deep Multimodal Content Understanding: A Review
2020 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Wei Chen, Weiping Wang, Li Liu, Michael S. Lew

3

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
Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki, Bence Bakó, Zoltán Zimborás, Vedran Dunjko

0

citations
Smaller Language Models are Better Black-box Machine-Generated Text Detectors
2023 arXiv (Cornell University) preprint Computer Science Authorship Attribution and Profiling Open access

Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick

5

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