Latest Research in Ferroelectric and Negative Capacitance Devices

Top Research Topics in Ferroelectric and Negative Capacitance Devices

• Machine Learning — 14 papers
• Machine Learning — 7 papers
• Ferroelectric and Negative Capacitance Devices — 5 papers
• Methodology — 5 papers
• Numerical Analysis — 4 papers
• Statistical Methods and Bayesian Inference — 4 papers
• Computer Vision and Pattern Recognition — 3 papers
• Optimization and Control — 3 papers
• Hardware Architecture — 2 papers
• Artificial Intelligence — 2 papers

Highest-Cited Papers

1. Deep Permutation Networks: Layerwise Invariant Manifolds, Closed-Form Attractor Splicing, and Zero-Backpropagation Topological Learning
2. Deep Permutation Networks: Layerwise Invariant Manifolds, Closed-Form Attractor Splicing, and Zero-Backpropagation Topological Learning
3. Deep Permutation Networks: Layerwise Invariant Manifolds, Closed-Form Attractor Splicing, and Zero-Backpropagation Topological Learning
4. Robust empirical likelihood inference of longitudinal partially linear models with missing response
5. Mandelbrot Fractal Neural Synthesis: Zero-Storage Procedural Weight Derivation and Non-Linear Decision Boundaries
6. Mandelbrot Fractal Neural Synthesis: Zero-Storage Procedural Weight Derivation and Non-Linear Decision Boundaries
7. ModNet-Flat: A Self-Growing Layer-Free Recurrent Network for Universal Computation An evolutionary framework that discovers structure from first principles
8. Comparing two models for counting missing persons: Implications for missing and/or murdered Indigenous persons research
9. Observer-Conditioned Semantic Transport
10. Non-Invariance in Nested Prediction Models under Selective Predictor Availability
11. One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State
12. Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories
13. Geometry of learning dynamics: Gradient descent versus natural gradient on the ridge of optimization
14. Neural Stochastic Differential Equations on Compact State Spaces: Theory, Methods, and Application to Suicide Risk Modeling
15. Reciprocity can halve what a mechanical network can learn
16. SpectralNet: A Resolvent-Inspired Neural Architecture Based on Chernoff Approximations and Photonic Motivation
17. A 420 GOPS/W CGRA with a Configurable MAC and Dynamic Truncation
18. Continuous-Time Machine Learning: A Unified Mathematical Perspective
19. Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
20. Missing Data Imputation under Manifold Hypothesis