Storage capacity of perceptron with variable selection
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yingying, Ohzeki, Masayuki, Kabashima, Yoshiyuki |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
by: Takahashi, Takashi, et al.
Published: (2020)
by: Takahashi, Takashi, et al.
Published: (2020)
Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions
by: Nishiyama, Sota, et al.
Published: (2024)
by: Nishiyama, Sota, et al.
Published: (2024)
Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT
by: Stojnic, Mihailo
Published: (2025)
by: Stojnic, Mihailo
Published: (2025)
Phase transition in compressed sensing using log-sum penalty and adaptive smoothing
by: Morita, Keisuke, et al.
Published: (2026)
by: Morita, Keisuke, et al.
Published: (2026)
Parametric RDT approach to computational gap of symmetric binary perceptron
by: Stojnic, Mihailo
Published: (2026)
by: Stojnic, Mihailo
Published: (2026)
Binary perceptron computational gap -- a parametric fl RDT view
by: Stojnic, Mihailo
Published: (2025)
by: Stojnic, Mihailo
Published: (2025)
Ultrametric OGP - parametric RDT \emph{symmetric} binary perceptron connection
by: Stojnic, Mihailo
Published: (2026)
by: Stojnic, Mihailo
Published: (2026)
Statistical Mechanics Calculations Using Variational Autoregressive Networks and Quantum Annealing
by: Tamura, Yuta, et al.
Published: (2024)
by: Tamura, Yuta, et al.
Published: (2024)
Semi-analytic approximate stability selection for correlated data in generalized linear models
by: Takahashi, Takashi, et al.
Published: (2020)
by: Takahashi, Takashi, et al.
Published: (2020)
Learning Linear Regression with Low-Rank Tasks in-Context
by: Takanami, Kaito, et al.
Published: (2025)
by: Takanami, Kaito, et al.
Published: (2025)
Injectivity capacity of ReLU gates
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Deep ReLU networks -- injectivity capacity upper bounds
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Storage Capacity Evaluation of the Quantum Perceptron using the Replica Method
by: Urushibata, Mitsuru, et al.
Published: (2024)
by: Urushibata, Mitsuru, et al.
Published: (2024)
Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation
by: Barbier, Jean, et al.
Published: (2025)
by: Barbier, Jean, et al.
Published: (2025)
Fixed width treelike neural networks capacity analysis -- generic activations
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Exact capacity of the \emph{wide} hidden layer treelike neural networks with generic activations
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Application of time-series quantum generative model to financial data
by: Okumura, Shun, et al.
Published: (2024)
by: Okumura, Shun, et al.
Published: (2024)
Dynamical mean field approach to associative memory model with non-monotonic transfer functions
by: Kabashima, Yoshiyuki, et al.
Published: (2025)
by: Kabashima, Yoshiyuki, et al.
Published: (2025)
DMFT analysis of Hopfield network with plasticity
by: Hara, Yoshinori, et al.
Published: (2026)
by: Hara, Yoshinori, et al.
Published: (2026)
Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
by: Boncoraglio, Fabrizio, et al.
Published: (2025)
by: Boncoraglio, Fabrizio, et al.
Published: (2025)
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
by: Demyanenko, Elizaveta, et al.
Published: (2025)
by: Demyanenko, Elizaveta, et al.
Published: (2025)
A Minimal Duality Estimate for the Surface-Code Threshold under Nearest-Neighbor Correlated Errors
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Reconsideration of optimization for reduction of traffic congestion
by: Ohzeki, Masayuki
Published: (2024)
by: Ohzeki, Masayuki
Published: (2024)
Attention-Like Hebbian Learning from Quantum Probability Flow and Quantum-Annealer Tests
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Bayes optimal learning of attention-indexed models
by: Boncoraglio, Fabrizio, et al.
Published: (2025)
by: Boncoraglio, Fabrizio, et al.
Published: (2025)
The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
by: Erba, Vittorio, et al.
Published: (2025)
by: Erba, Vittorio, et al.
Published: (2025)
A universal compression theory for lottery ticket hypothesis and neural scaling laws
by: Wang, Hong-Yi, et al.
Published: (2025)
by: Wang, Hong-Yi, et al.
Published: (2025)
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
by: Obuchi, Tomoyuki, et al.
Published: (2024)
by: Obuchi, Tomoyuki, et al.
Published: (2024)
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
by: Barbier, Jean, et al.
Published: (2024)
by: Barbier, Jean, et al.
Published: (2024)
Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications
by: Xu, Yizhou, et al.
Published: (2025)
by: Xu, Yizhou, et al.
Published: (2025)
Implicit bias produces neural scaling laws in learning curves, from perceptrons to deep networks
by: D'Amico, Francesco, et al.
Published: (2025)
by: D'Amico, Francesco, et al.
Published: (2025)
Temperature chaos as a logical consequence of the reentrant transition in spin glasses
by: Nishimori, Hidetoshi, et al.
Published: (2025)
by: Nishimori, Hidetoshi, et al.
Published: (2025)
Comparing the effects of Boltzmann machines as associative memory in Generative Adversarial Networks between classical and quantum sampling
by: Urushibata, Mitsuru, et al.
Published: (2022)
by: Urushibata, Mitsuru, et al.
Published: (2022)
Exact Replica Symmetric solution for transverse field Hopfield model under finite Trotter size
by: Okajima, Koki, et al.
Published: (2024)
by: Okajima, Koki, et al.
Published: (2024)
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
by: Maillard, Antoine, et al.
Published: (2024)
by: Maillard, Antoine, et al.
Published: (2024)
Capacity of the Hebbian-Hopfield network associative memory
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Daydreaming algorithm for Biased Patterns
by: Doi, Mikiya, et al.
Published: (2026)
by: Doi, Mikiya, et al.
Published: (2026)
Existence of a Phase Transition in the One-Dimensional Ising Spin Glass Model with Long-Range Interactions on the Nishimori Line
by: Okuyama, Manaka, et al.
Published: (2026)
by: Okuyama, Manaka, et al.
Published: (2026)
Online calibration scheme for training restricted Boltzmann machines with quantum annealing
by: Goto, Takeru, et al.
Published: (2023)
by: Goto, Takeru, et al.
Published: (2023)
Toward mean-field bound for critical temperature on Nishimori line
by: Okuyama, Manaka, et al.
Published: (2024)
by: Okuyama, Manaka, et al.
Published: (2024)
Similar Items
-
Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
by: Takahashi, Takashi, et al.
Published: (2020) -
Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions
by: Nishiyama, Sota, et al.
Published: (2024) -
Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT
by: Stojnic, Mihailo
Published: (2025) -
Phase transition in compressed sensing using log-sum penalty and adaptive smoothing
by: Morita, Keisuke, et al.
Published: (2026) -
Parametric RDT approach to computational gap of symmetric binary perceptron
by: Stojnic, Mihailo
Published: (2026)