Cluster-based classification with neural ODEs via control
Fuente:
arXiv
Saved in:
| Main Authors: | Álvarez-López, Antonio, Orive-Illera, Rafael, Zuazua, Enrique |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interplay between depth and width for interpolation in neural ODEs
by: Álvarez-López, Antonio, et al.
Published: (2024)
by: Álvarez-López, Antonio, et al.
Published: (2024)
Constructive interpolation and generalization rates for neural ODEs: a control perspective
by: Álvarez-López, Antonio, et al.
Published: (2026)
by: Álvarez-López, Antonio, et al.
Published: (2026)
Terminally constrained flow-based generative models from an optimal control perspective
by: Gao, Weiguo, et al.
Published: (2026)
by: Gao, Weiguo, et al.
Published: (2026)
SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
by: Stein, Viktor, et al.
Published: (2026)
by: Stein, Viktor, et al.
Published: (2026)
Convergence, design and training of continuous-time dropout as a random batch method
by: Álvarez-López, Antonio, et al.
Published: (2025)
by: Álvarez-López, Antonio, et al.
Published: (2025)
A PDE Perspective on Generative Diffusion Models
by: Liu, Kang, et al.
Published: (2025)
by: Liu, Kang, et al.
Published: (2025)
Learning time-scales in two-layers neural networks
by: Berthier, Raphaël, et al.
Published: (2023)
by: Berthier, Raphaël, et al.
Published: (2023)
A Unified Perspective on the Dynamics of Deep Transformers
by: Castin, Valérie, et al.
Published: (2025)
by: Castin, Valérie, et al.
Published: (2025)
Geometric Asymptotics of Score Mixing and Guidance in Diffusion Models
by: Liu, Kang, et al.
Published: (2026)
by: Liu, Kang, et al.
Published: (2026)
Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks
by: Hernández, Martín, et al.
Published: (2024)
by: Hernández, Martín, et al.
Published: (2024)
ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs
by: Dramko, Evan, et al.
Published: (2025)
by: Dramko, Evan, et al.
Published: (2025)
P not equal to NP
by: Delgado, Daniel Cardona
Published: (2023)
by: Delgado, Daniel Cardona
Published: (2023)
Emulation-Completeness of Programming Languages
by: Morse, Gregory, et al.
Published: (2026)
by: Morse, Gregory, et al.
Published: (2026)
Quantifying data needs in surrogate modeling for flow fields in two-dimensional stirred tanks with physics-informed neural networks
by: Trávníková, Veronika, et al.
Published: (2025)
by: Trávníková, Veronika, et al.
Published: (2025)
Non-Robustness of the Zero-Temperature-Limit Gibbs Measures to Perturbations of the Potential
by: Gayral, Léo, et al.
Published: (2025)
by: Gayral, Léo, et al.
Published: (2025)
Teaching and Learning under Deductive Errors
by: Telle, Jan Arne, et al.
Published: (2026)
by: Telle, Jan Arne, et al.
Published: (2026)
Normalization in Attention Dynamics
by: Karagodin, Nikita, et al.
Published: (2025)
by: Karagodin, Nikita, et al.
Published: (2025)
Variational formulations of ODE-Net as a mean-field optimal control problem and existence results
by: Isobe, Noboru, et al.
Published: (2023)
by: Isobe, Noboru, et al.
Published: (2023)
Clustering in Causal Attention Masking
by: Karagodin, Nikita, et al.
Published: (2024)
by: Karagodin, Nikita, et al.
Published: (2024)
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
by: Adcock, Ben, et al.
Published: (2022)
by: Adcock, Ben, et al.
Published: (2022)
On Vanishing of Gromov--Witten Invariants
by: Pak, Igor, et al.
Published: (2025)
by: Pak, Igor, et al.
Published: (2025)
Localmax dynamics for attention in transformers and its asymptotic behavior
by: Cimetière, Henri, et al.
Published: (2025)
by: Cimetière, Henri, et al.
Published: (2025)
Characterisation of the Set of Ground States of Uniformly Chaotic Finite-Range Lattice Models
by: Gayral, Léo, et al.
Published: (2023)
by: Gayral, Léo, et al.
Published: (2023)
Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time
by: Wendland, Jennifer, et al.
Published: (2026)
by: Wendland, Jennifer, et al.
Published: (2026)
Data Augmentation and Regularization for Learning Group Equivariance
by: Nordenfors, Oskar, et al.
Published: (2025)
by: Nordenfors, Oskar, et al.
Published: (2025)
Optimization Dynamics of Equivariant and Augmented Neural Networks
by: Nordenfors, Oskar, et al.
Published: (2023)
by: Nordenfors, Oskar, et al.
Published: (2023)
Model-Free Local Recalibration of Neural Networks
by: Torres, R., et al.
Published: (2024)
by: Torres, R., et al.
Published: (2024)
A Model Hierarchy for Predicting the Flow in Stirred Tanks with Physics-Informed Neural Networks
by: Trávníková, Veronika, et al.
Published: (2024)
by: Trávníková, Veronika, et al.
Published: (2024)
Computational Complexity of Minimal Trap Spaces in Boolean Networks
by: Moon, Kyungduk, et al.
Published: (2022)
by: Moon, Kyungduk, et al.
Published: (2022)
Stability properties of Minimal Gated Unit neural networks
by: De Carli, Stefano, et al.
Published: (2026)
by: De Carli, Stefano, et al.
Published: (2026)
On the Dynamical Hierarchy in Gathering Protocols with Circulant Topologies
by: Gerlach, Raphael, et al.
Published: (2023)
by: Gerlach, Raphael, et al.
Published: (2023)
Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds
by: Nguyen, Hoang Huy, et al.
Published: (2023)
by: Nguyen, Hoang Huy, et al.
Published: (2023)
Symmetrization maps and minimal border rank Comon's conjecture
by: Mańdziuk, Tomasz, et al.
Published: (2024)
by: Mańdziuk, Tomasz, et al.
Published: (2024)
Approximating k-Center via Farthest-First on $δ$-Covers
by: Wilson, Jason R.
Published: (2026)
by: Wilson, Jason R.
Published: (2026)
Adaptive Greedy Rejection Sampling
by: Flamich, Gergely, et al.
Published: (2023)
by: Flamich, Gergely, et al.
Published: (2023)
On the dynamics of three-layer neural networks: initial condensation
by: Chen, Zheng-An, et al.
Published: (2024)
by: Chen, Zheng-An, et al.
Published: (2024)
A Formal Analysis of Iterated TDD
by: Ruparel, Hemil, et al.
Published: (2024)
by: Ruparel, Hemil, et al.
Published: (2024)
A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
by: Kim, Abiel
Published: (2025)
by: Kim, Abiel
Published: (2025)
Machine Learning-based quadratic closures for non-intrusive Reduced Order Models
by: Codega, Gabriele, et al.
Published: (2025)
by: Codega, Gabriele, et al.
Published: (2025)
Noncommutative rational Pólya series
by: Bell, Jason, et al.
Published: (2019)
by: Bell, Jason, et al.
Published: (2019)
Similar Items
-
Interplay between depth and width for interpolation in neural ODEs
by: Álvarez-López, Antonio, et al.
Published: (2024) -
Constructive interpolation and generalization rates for neural ODEs: a control perspective
by: Álvarez-López, Antonio, et al.
Published: (2026) -
Terminally constrained flow-based generative models from an optimal control perspective
by: Gao, Weiguo, et al.
Published: (2026) -
SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
by: Stein, Viktor, et al.
Published: (2026) -
Convergence, design and training of continuous-time dropout as a random batch method
by: Álvarez-López, Antonio, et al.
Published: (2025)