Cover Image

Motif distribution and function of sparse deep neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zahn, Olivia T., Daniel, Thomas L., Kutz, J. Nathan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks
by: Adcock, Ben, et al.
Published: (2024)

On efficiently computable functions, deep networks and sparse compositionality
by: Poggio, Tomaso
Published: (2025)

Mesh-free sparse identification of nonlinear dynamics
by: Gao, Mars Liyao, et al.
Published: (2025)

UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engression
by: Gao, Mars Liyao, et al.
Published: (2026)

Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression
by: Wu, Dongya, et al.
Published: (2024)

Nonlinear functional regression by functional deep neural network with kernel embedding
by: Shi, Zhongjie, et al.
Published: (2024)

Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint
by: Wang, Hanyang, et al.
Published: (2024)

Large-width functional asymptotics for deep Gaussian neural networks
by: Bracale, Daniele, et al.
Published: (2021)

Sensing with shallow recurrent decoder networks
by: Williams, Jan P., et al.
Published: (2023)

From superposition to sparse codes: interpretable representations in neural networks
by: Klindt, David, et al.
Published: (2025)

Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)

Robustness in sparse artificial neural networks trained with adaptive topology
by: Sulyok, Bendegúz, et al.
Published: (2026)

Intrinsic training dynamics of deep neural networks
by: Marcotte, Sibylle, et al.
Published: (2025)

Towards generalizable deep ptychography neural networks
by: Vong, Albert, et al.
Published: (2025)

An axiomatized PDE model of deep neural networks
by: Wang, Tangjun, et al.
Published: (2023)

Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks
by: Jantre, Sanket, et al.
Published: (2023)

Data assimilation and discrepancy modeling with shallow recurrent decoders
by: Bao, Yuxuan, et al.
Published: (2025)

Information theory and discriminative sampling for model discovery
by: Bao, Yuxuan, et al.
Published: (2025)

Universal approximation with complex-valued deep narrow neural networks
by: Geuchen, Paul, et al.
Published: (2023)

A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
by: Hsu, Alexander W., et al.
Published: (2025)

Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
by: Voina, Doris, et al.
Published: (2024)

Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected
by: Zhang, Yingtao, et al.
Published: (2025)

Finite-time Lyapunov exponents of deep neural networks
by: Storm, L., et al.
Published: (2023)

Infinite-channel deep stable convolutional neural networks
by: Bracale, Daniele, et al.
Published: (2021)

On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
by: Yang, Yunfei
Published: (2024)

Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks
by: Yang, Yunfei, et al.
Published: (2026)

Approximation and interpolation of deep neural networks
by: Constantinescu, Vlad-Raul, et al.
Published: (2023)

Multi-level projection with exponential parallel speedup; Application to sparse auto-encoders neural networks
by: Perez, Guillaume, et al.
Published: (2024)

Dimensionality-induced information loss of outliers in deep neural networks
by: Uematsu, Kazuki, et al.
Published: (2024)

An unsupervised tour through the hidden pathways of deep neural networks
by: Doimo, Diego
Published: (2025)

Implicit regularization of deep residual networks towards neural ODEs
by: Marion, Pierre, et al.
Published: (2023)

Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks
by: Kneifl, Jonas, et al.
Published: (2024)

A simple algorithm for output range analysis for deep neural networks
by: Rojas, Helder, et al.
Published: (2024)

Sparse-mode Dynamic Mode Decomposition for Disambiguating Local and Global Structures
by: Ichinaga, Sara M., et al.
Published: (2025)

OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX
by: Williams, Jan, et al.
Published: (2026)

T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders
by: Yermakov, Alexey, et al.
Published: (2025)

Holographic functions and neural networks
by: Szegedy, Balazs
Published: (2026)

Generative neural networks for characteristic functions
by: Brück, Florian
Published: (2024)

On the VC dimension of deep group convolutional neural networks
by: Sepliarskaia, Anna, et al.
Published: (2024)

Utilizing Lyapunov Exponents in designing deep neural networks
by: Mittra, Tirthankar
Published: (2024)