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Papers matching “linear predictive coding” 10

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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
Learning deformable linear object dynamics from a single trajectory
2024 arXiv (Cornell University) preprint Engineering Dynamics and Control of Mechanical Systems Open access

Shamil Mamedov, A. René Geist, Sebastian Trimpe, Jan Swevers

0

citations
One trick to treat them all: SuperEasy linear response for any hot dark matter in $N$-body simulations
2024 arXiv (Cornell University) preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

Giovanni Pierobon, Markus R. Mosbech, Amol Upadhye, Yvonne Y. Y. Wong

0

citations
Non-linear power spectrum and forecasts for Generalized Cubic Covariant Galileon
2024 arXiv (Cornell University) preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

Luís Atayde, Noemi Frusciante, Benjamin Bose, Santiago Casas, Baojiu Li

0

citations
Every Component Is a Lookup: One Linear Graph for Interaction, Composition and Attribution
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Po-Kai Chen, Aske Plaat, Bas van Stein

0

citations
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations
2023 arXiv (Cornell University) preprint Engineering Soft Robotics and Applications Open access

Shamil Mamedov, A. René Geist, Jan Swevers, Sebastian Trimpe

0

citations
The Brighter-Fatter Effect in the JWST MIRI Si:As IBC detectors I. Observations, impact on science, and modelling
2023 arXiv (Cornell University) preprint Physics and Astronomy Astronomy and Astrophysical Research Open access

Ioannis Argyriou, Craig Lage, George H. Rieke, Danny Gasman, Jeroen Bouwman, Jane E. Morrison, +7 more

3

citations
Rotation Equivariant Fourier Neural Operators for Learning Symmetry Preserving Transformations on Scalar Fields, Vector Fields, and Higher Order Tensor Fields
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Paul Shen, Michael F. Herbst, Venkat Viswanathan

0

citations
Embedding an ANN-Based Crystal Plasticity Model into the Finite Element Framework using an ABAQUS User-Material Subroutine
2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Yousef Heider, Bernd A. Markert

0

citations
scACCorDiON: A clustering approach for explainable patient level cell cell communication graph analysis
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

James Shiniti Nagai, Michael T. Schaub, Ivan G. Costa

0

citations

10 results