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Papers matching “parameter inference” 50

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Fast and robust Bayesian inference using Gaussian processes with GPry
2023 Journal of Cosmology and Astroparticle Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

21

citations
Tabular: Probabilistic Inference from the Spreadsheet
2020 Cambridge University Press eBooks book-chapter Computer Science Bayesian Modeling and Causal Inference

Andrew D. Gordon, Claudio V. Russo, Marcin Szymczak, Johannes Borgström, Thore Graepel, Daniel Tarlow

0

citations
Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes
2024 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) conference-paper Computer Science Gaussian Processes and Bayesian Inference

Saksham Kiroriwal, Julius Pfrommer, Hendrik Mende, Robert Heinrich Schmitt, Jürgen Beyerer

1

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

citations
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr

0

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 JuSER Publikationsportal article Computer Science Parallel Computing and Optimization Techniques Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
Buffer Sizes Reduction for Memory-efficient CNN Inference on Mobile and Embedded Devices
2020 Euromicro Conference on Digital System Design (DSD) conference-paper Computer Science Advanced Neural Network Applications Open access

Svetlana Minakova, Todor P. Stefanov

10

citations
HEKAN:A new neural network for encrypted inference
2025 conference-paper Computer Science Cryptography and Data Security

Yuwei Xu, Han Liu, Zhongyu Hu, Xiaodong Li, Yimeng Dou, Shaofei Xu

0

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
Automatically Finding the Right Probabilities in Bayesian Networks
2023 Journal of Artificial Intelligence Research article Computer Science Bayesian Modeling and Causal Inference Open access

Bahare Salmani, Joost-Pieter Katoen

8

citations
Robust and accurate regression-based techniques for period inference in real-time systems
2022 Real-Time Systems article Computer Science Real-Time Systems Scheduling Open access

Șerban Vădineanu, Mitra Nasri

3

citations
Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kartikey Ahlawat

0

citations
Integration of Key-value Attention into Pure and Hybrid Transformers for Semantic Segmentation
2025 Informatik aktuell conference-paper Computer Science Advanced Neural Network Applications Open access

DeShin Hwa, Klaus Drechsler

0

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
Finding an $ε$-close Variation of Parameters in Bayesian Networks
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bahare Salmani, Joost-Pieter Katoen

0

citations
Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks
2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Bahare Salmani, Joost-Pieter Katoen

0

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
Unified field theoretical approach to deep and recurrent neuronal networks
2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access

Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias

17

citations
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Gaze Tracking and Assistive Technology

Junyuan Ding, Ziteng Wang, Chang Gao, Min Liu, Qinyu Chen

8

citations
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality
2024 arXiv (Cornell University) preprint Computer Science Gaze Tracking and Assistive Technology Open access

Junyuan Ding, Ziteng Wang, Chang Gao, Qinyu Chen

1

citations
Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case
2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Neural Network Applications Open access

Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, +2 more

12

citations
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
2021 International Conference on Pattern Recognition Applications and Methods conference-paper Computer Science Advanced Neural Network Applications Open access cited by 2 patents

9

citations