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Papers matching “network inference” 128

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Exploring Hardware-Efficient Architectures of Golomb–Rice Decoder for TinyML Applications
2025 Journal of Circuits Systems and Computers article Computer Science Advanced Neural Network Applications

Mounika Vaddeboina, Alper Yilmazer, Wolfgang Ecker

0

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 Open access

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

8

citations
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks
2022 Journal of the American Medical Informatics Association article Computer Science Privacy-Preserving Technologies in Data Open access

Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen

6

citations
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Advanced Graph Neural Networks Open access

Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, +1 more

1

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
linkml/schema-automator: v0.5.6
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Research Data Management Practices Open access

Chris J Mungall, Mark Andrew Miller, Sierra Moxon, Corey Cox, Michael, Harshad, +11 more

0

citations
linkml/schema-automator: v0.5.6
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Research Data Management Practices Open access

Chris J Mungall, Mark Andrew Miller, Sierra Moxon, Corey Cox, Michael, Harshad, +11 more

0

citations
Learning Discretized Bayesian Networks with GOMEA
2024 Lecture notes in computer science conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman

1

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
DeltaLLM: Delta-Key Sparse Attention for Edge LLMs
2026 IEEE transactions on circuits and systems for artificial intelligence. article Computer Science Advanced Neural Network Applications

Jiawen Qi, Jiayu Liu, Chang Gao, Zhaochun Ren, Qinyu Chen

0

citations
Weisfeiler and Leman’s Unlikely Journey from Graph Isomorphism to Neural Networks (Invited Talk)
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Graph Theory and Algorithms Open access

Martin Grohe

0

citations
Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
APPLYING PQUANTML TO LARGE ARCHITECTURES: TRANSFORMERS FOR HIGH ENERGY PHYSICS
2026 Zenodo (CERN European Organization for Nuclear Research) report Computer Science Advanced Neural Network Applications Open access

Dino Cheng, Roope Oskari Niemi, M. Pierini

0

citations
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture
2020 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Advanced Neural Network Applications Open access

Christopher Brix, Parnia Bahar, Hermann Ney

22

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 IEEE International Conference on Machine Learning and Applications (ICMLA) conference-paper Computer Science Advanced Neural Network Applications

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

8

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

0

citations
Understanding and Improving Optimization in Predictive Coding Networks
2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Neural Networks and Applications Open access

Jeffrey L. Krichmar, Emre Neftci

5

citations
“Want to come play with me?” Outlier subgroup discovery on spatio‐temporal interactions
2021 Expert Systems article Computer Science Data Mining Algorithms and Applications Open access

Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Rosaldo J. F. Rossetti, Cláudio Rebelo de Sá

4

citations
Understanding and Improving Optimization in Predictive Coding Networks
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Nick Alonso, Jeffrey L. Krichmar, Emre Neftci

0

citations
JaneEye: A 12-nm 2K-FPS 18.9-μJ/Frame Event-based Eye Tracking Accelerator
2026 Asia and South Pacific Design Automation Conference (ASP-DAC) conference-paper Computer Science Gaze Tracking and Assistive Technology Open access

Tao Han, Ang Li, Qinyu Chen, Chang Gao

2

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
Efficient person detection with LiDAR sensors for mobile robots
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Neural Network Applications Open access

Dan Ping Jia

0

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
Teacher-student collaborative knowledge distillation for image classification
2022 Applied Intelligence article Computer Science Advanced Neural Network Applications Open access cited by 1 patent

Chuanyun Xu, Wenjian Gao, Tian Li, Nanlan Bai, Gang Li, Yang Zhang

71

citations
Demo: Testing AI-Driven Mac Learning in Autonomic Networks
2024 Proceedings/Proceedings - International Conference on Network Protocols conference-paper Computer Science Wireless Networks and Protocols

Leonard Paeleke, Navid Keshtiarast, Paul Seehofer, Roland Bless, Holger Karl, Marina Petrova, +1 more

1

citations