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Papers matching “probability generating function” 18

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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
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
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
Neurogenic dysphagia as an independent driver of hospital length of stay and costs: a Bayesian analysis with geriatric stratification and intervention simulation
2026 medRxiv preprint Health Professions Dysphagia Assessment and Management Open access

Cornelius Johannes Werner, Tareq Meyer, João Pinho, Bettina Mall, Jörg Bernhard Schulz, Beate Schumann‐Werner

1

citations
Universal correlations in the Abelian sandpile model
2026 arXiv (Cornell University) preprint Physics and Astronomy Theoretical and Computational Physics Open access

Qiyu Liu, Jan-Niklas Herre, Prajit Baruah, Sebastian Dreizler, Christoph Karrasch, Wioletta M. Ruszel, +1 more

0

citations
Smartphone behavior is suppressed during bursts of wake slow waves
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural dynamics and brain function Open access

Ruchella Kock, David Hof, Reto Huber, Arko Ghosh

0

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
Influence of adversarial training on super-resolution turbulence reconstruction
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Ludovico Nista, Christoph Schumann, Mathis Bode, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +1 more

0

citations
Combining low-temperature thermochronology with 3-D probabilistic kinematic modeling of the Bavarian Subalpine Molasse
2024 preprint Earth and Planetary Sciences Geological and Geochemical Analysis Open access

Sofia Brisson, Denise Degen, Florian Wellmann, Christoph von Hagke

0

citations
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Kevin Shen, Susanne Pielawa, Vedran Dunjko, Hao Wang

0

citations
Reducing cost uncertainty in the drivetrain design decision with a focus on the operational phase
2020 preprint Engineering Wind Energy Research and Development Open access

Freia Harzendorf, Ralf Schelenz, Georg Jacobs

4

citations
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

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
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann

0

citations
The fundamental limit of jet tagging: Beyond top jets
2026 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Sarah Koller, Humberto Reyes-González

0

citations
Provable Diffusion Posterior Sampling for Bayesian Inversion
2025 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

0

citations

18 results