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Papers matching “network inference” 41

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A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
Efficient Inference in Bayesian Networks with Continuous Variables A Discretization and Knowledge Compilation Approach
2023 SSRN Electronic Journal preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova

2

citations
Homeostatic Silencing Neurons for Energy-Efficient Transformer Inference
2026 SSRN Electronic Journal preprint Computer Science Advanced Neural Network Applications Open access

Laquerrière-Hecker Alice, Matt Christopher Danzi, Jörg Bernhard Schulz, Maike Franziska Dohrn

0

citations
The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge
2022 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Erqian Tang, Xiaotian Guo, Todor P. Stefanov

0

citations
AutoDiCE: Fully Automated Distributed CNN Inference at the Edge
2022 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov

0

citations
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
2024 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Christopher Brix, Grani A. Hanasusanto, Huan Zhang

3

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

4

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
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
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
2025 JuSER (Forschungszentrum Jülich) preprint Computer Science Advanced Neural Network Applications Open access

Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov, Qader Dorosti, Chimezie Eguzo, Sarah Fleitmann, +3 more

0

citations
Comparison between transformers and convolutional models for fine-grained classification of insects
2023 Research portal (Tilburg University) preprint Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

1

citations
Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Weize Cai, Yongqi Dong, Zhida Shao, Zixin Fu

0

citations
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Francesco Innocenti, El Mehdi Achour, Ryan R. Singh, Christopher L. Buckley

0

citations
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

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

0

citations
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities
2020 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

David Rügamer, Chris Kolb, Nadja Klein

2

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

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
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
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
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Nick Alonso, Jeffrey L. Krichmar, Emre Neftci

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
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
Critical feature learning in deep neural networks
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Zohar Ringel, M. Krämer, Moritz Helias

0

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Xiaoyan Jiang, Bohan Wang, Hamido Fujita

0

citations