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Papers matching “process layer” 20

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How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Tianjie Ju, Weiwei Sun, Wei Dong Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu

4

citations
Bayesian Optimization via Continual Variational Last Layer Training
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek

0

citations
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke

1

citations
Skyhook: Towards an Arrow-Native Storage System
2022 arXiv (Cornell University) preprint Computer Science Advanced Data Storage Technologies Open access

Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez, Alexandru Uta, Jeff LeFevre, Carlos Maltzahn

0

citations
Graph Neural Networks Do Not Always Oversmooth
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub

3

citations
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
2021 arXiv (Cornell University) preprint Computer Science Advanced Database Systems and Queries Open access

Sebastiaan Alvarez Rodriguez, Jayjeet Chakraborty, Aaron Chu, Ivo Jimenez, Jeff LeFevre, Carlos Maltzahn, +1 more

1

citations
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

0

citations
GKAN: Graph Kolmogorov-Arnold Networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Mehrdad Kiamari, Mohammad Kiamari, Bhaskar Krishnamachari

25

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
Smooth Kolmogorov Arnold networks enabling structural knowledge representation
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Moein E. Samadi, Younes Müller, Andreas Schuppert

14

citations
Making a Case for 3D Convolutions for Object Segmentation in Videos
2020 arXiv (Cornell University) preprint Computer Science Visual Attention and Saliency Detection Open access

Sabarinath Mahadevan, Ali Athar, Aljoša Ošep, Sebastian Hennen, Laura Leal-Taixé, Bastian Leibe

4

citations
Future Computer Systems and Networking Research in the Netherlands: A Manifesto
2022 arXiv (Cornell University) preprint Computer Science Distributed and Parallel Computing Systems Open access

Alexandru Iosup, Fernando A. Kuipers, Ana Lucia Vărbănescu, Paola Grosso, Animesh Trivedi, Jan S. Rellermeyer, +3 more

1

citations
Continuous limits of residual neural networks in case of large input data
2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, A. Thuenen, T. Trimborn, G. Visconti

1

citations
Quantum annealing inspired algorithms for the NISQ Era
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Rijul Sachdeva, Vrinda Mehta, Manpreet Singh Jattana, Kristel F. L. Michielsen, Fengping Jin

0

citations
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
Mixture Encoder for Joint Speech Separation and Recognition
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Simon Berger, Peter Vieting, Christoph Boeddeker, Ralf Schlüter, Reinhold Haeb‐Umbach

0

citations
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe

0

citations
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael T. Schaub, +4 more

0

citations
Polynomial Time Quantum Approximation Schemes for Constrained Optimisation
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Kristel F. L. Michielsen

0

citations
Mean-Field and Kinetic Descriptions of Neural Differential Equations
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, T. Trimborn, G. Visconti

0

citations

20 results