From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “conditional distributions” 59

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Kernel conditional tests from learning-theoretic bounds
2025 conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck, Friedrich Solowjow, Sebastian Trimpe

0

citations
Mixture distributions as exponential families
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Bayesian Methods and Mixture Models Open access

Zhe Su

0

citations
Inference of astrophysical parameters with a conditional invertible neural network
2023 Journal of Physics Conference Series conference-paper Computer Science Computational Physics and Python Applications Open access

Teresa Bister, Martin Erdmann, Ullrich Köthe, Josina Schulte

0

citations
A method for inferring signal strength modifiers by conditional invertible neural networks
2024 EPJ Web of Conferences conference-paper Computer Science Chaos-based Image/Signal Encryption Open access

M Farkas, S. Diekmann, N. Eich, Martin Erdmann

0

citations
Data-driven conditional flexibility index
2026 Computers & Chemical Engineering article Computer Science Explainable Artificial Intelligence (XAI) Open access

Moritz Wedemeyer, Eike Cramer, Alexander Mitsos, Manuel Dahmen

1

citations
Computing Expected Visiting Times and Stationary Distributions in Markov Chains: Fast and Accurate
2025 Journal of Automated Reasoning article Computer Science Formal Methods in Verification Open access

Hannah Mertens, Joost-Pieter Katoen, Tim Quatmann

3

citations
Accurately Computing Expected Visiting Times and Stationary Distributions in Markov Chains
2024 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Hannah Mertens, Joost-Pieter Katoen, Tim Quatmann

2

citations
Accurately Computing Expected Visiting Times and Stationary Distributions in Markov Chains
2024 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

Hannah Mertens, Joost-Pieter Katoen, Tim Quatmann, Tobias Winkler

2

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Computer Science Topic Modeling Open access

Zhikun Zhang, GiovanniMaria Piccini

1

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Computer Science Topic Modeling Open access

Zhikun Zhang, GiovanniMaria Piccini

0

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Computer Science Topic Modeling Open access

Zhikun Zhang, GiovanniMaria Piccini

0

citations
On the Reversibility of Discretization
2020 Mathematics article Computer Science Image and Signal Denoising Methods Open access

Jens V. Fischer, R. L. Stens

1

citations
A risk-sensitive task offloading strategy for edge computing in industrial Internet of Things
2021 EURASIP Journal on Wireless Communications and Networking article Computer Science IoT and Edge/Fog Computing Open access cited by 2 patents

Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu

9

citations
Foundations for Deductive Verification of Continuous Probabilistic Programs: From Lebesgue to Riemann and Back
2025 Proceedings of the ACM on Programming Languages article Computer Science Formal Methods in Verification Open access

Kevin Batz, Joost-Pieter Katoen, Francesca Randone, Tobias Winkler

2

citations
A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things
2020 Research Square preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu

0

citations
Phase Synchronization Stability of Non-Homogeneous Low-Voltage Distribution Networks with Large-Scale Distributed Generations
2020 Energies article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Shi Chen, Hong Liang Zhou, Jingang Lai, Chang Yu

2

citations
Context-Adaptive Thresholding for Conditionally Representative Monitoring and Classification
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Ansgar Steland

0

citations
Exact Probabilistic Inference Using Generating Functions
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Lutz Klinkenberg, Mingshuai Chen, Joost-Pieter Katoen

1

citations
Bayesian Inference in Quantum Programs
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Christina Gehnen, Dominique Unruh, Joost-Pieter Katoen

0

citations
Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
2026 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Weize Cai, Yongqi Dong, Zhida Shao, Zixin Fu

0

citations
Leveraging Generative Models for ASI-based Solar Nowcasting
2024 conference-abstract Computer Science Solar Radiation and Photovoltaics Open access

Yann Fabel, Dominik Schnaus, Stefan Wilbert, Niklas Benedikt Blum, Luis Fernando Zarzalejo, Julia Kowalski, +1 more

0

citations
DMPC-Swarm: distributed model predictive control on nano UAV swarms
2025 Autonomous Robots article Computer Science Distributed Control Multi-Agent Systems Open access

Alexander Gräfe, Joram Eickhoff, Marco Zimmerling, Sebastian Trimpe

9

citations
Domain-incremental white blood cell classification with privacy-aware continual learning
2025 Scientific Reports article Computer Science Domain Adaptation and Few-Shot Learning Open access

Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Margrit Crysandt, Christian Matek, +1 more

2

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
Distributed Service Choreography Framework for Interoperability Among Prosumers and Electric Power System
2023 IEEE Access article Computer Science Service-Oriented Architecture and Web Services Open access

Petri Kannisto, Erdem Gümrükcü, Ferdinanda Ponci, Antonello Monti, Sami Repo, David Hästbacka

8

citations