Saved in:
| Main Authors: | Wotte, Yannik P., Califano, Federico, Stramigioli, Stefano |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.15107 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model order reduction via Lie groups
by: Wotte, Yannik P., et al.
Published: (2025)
by: Wotte, Yannik P., et al.
Published: (2025)
Expressivity of Quadratic Neural ODEs
by: Hanson, Joshua, et al.
Published: (2025)
by: Hanson, Joshua, et al.
Published: (2025)
Rademacher Complexity of Neural ODEs via Chen-Fliess Series
by: Hanson, Joshua, et al.
Published: (2024)
by: Hanson, Joshua, et al.
Published: (2024)
Control Disturbance Rejection in Neural ODEs
by: Bayram, Erkan, et al.
Published: (2025)
by: Bayram, Erkan, et al.
Published: (2025)
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks
by: Cipriani, Cristina, et al.
Published: (2023)
by: Cipriani, Cristina, et al.
Published: (2023)
Quantitative Flow Approximation Properties of Narrow Neural ODEs
by: Elamvazhuthi, Karthik
Published: (2025)
by: Elamvazhuthi, Karthik
Published: (2025)
Geometric Foundations of Tuning without Forgetting in Neural ODEs
by: Bayram, Erkan, et al.
Published: (2025)
by: Bayram, Erkan, et al.
Published: (2025)
Certified Robust Invariant Polytope Training in Neural Controlled ODEs
by: Harapanahalli, Akash, et al.
Published: (2024)
by: Harapanahalli, Akash, et al.
Published: (2024)
Learning Aligned Stability in Neural ODEs Reconciling Accuracy with Robustness
by: Luo, Chaoyang, et al.
Published: (2025)
by: Luo, Chaoyang, et al.
Published: (2025)
Training Neural ODEs Using Fully Discretized Simultaneous Optimization
by: Shapovalova, Mariia, et al.
Published: (2025)
by: Shapovalova, Mariia, et al.
Published: (2025)
Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
by: Shi, Kanghong, et al.
Published: (2025)
by: Shi, Kanghong, et al.
Published: (2025)
FxTS-Net: Fixed-Time Stable Learning Framework for Neural ODEs
by: Luo, Chaoyang, et al.
Published: (2024)
by: Luo, Chaoyang, et al.
Published: (2024)
Stochastic Hessian Fittings with Lie Groups
by: Li, Xi-Lin
Published: (2024)
by: Li, Xi-Lin
Published: (2024)
Stable Robot Motions on Manifolds: Learning Lyapunov-Constrained Neural Manifold ODEs
by: Boetius, David, et al.
Published: (2025)
by: Boetius, David, et al.
Published: (2025)
A minimax optimal control approach for robust neural ODEs
by: Cipriani, Cristina, et al.
Published: (2023)
by: Cipriani, Cristina, et al.
Published: (2023)
Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs
by: Heiss, Jakob, et al.
Published: (2024)
by: Heiss, Jakob, et al.
Published: (2024)
Schrödinger Bridge Over A Compact Connected Lie Group
by: Mahmood, Hamza, et al.
Published: (2026)
by: Mahmood, Hamza, et al.
Published: (2026)
Quantitative Convergences of Lie Group Momentum Optimizers
by: Kong, Lingkai, et al.
Published: (2024)
by: Kong, Lingkai, et al.
Published: (2024)
Homotopy-based training of NeuralODEs for accurate dynamics discovery
by: Ko, Joon-Hyuk, et al.
Published: (2022)
by: Ko, Joon-Hyuk, et al.
Published: (2022)
Optimal Depth of Neural Networks
by: Qi, Qian
Published: (2025)
by: Qi, Qian
Published: (2025)
Riemannian Neural Optimal Transport
by: Micheli, Alessandro, et al.
Published: (2026)
by: Micheli, Alessandro, et al.
Published: (2026)
Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
by: Soma, Tasuku, et al.
Published: (2022)
by: Soma, Tasuku, et al.
Published: (2022)
Physical Human-Robot Interaction: A Critical Review of Safety Constraints
by: Zanella, Riccardo, et al.
Published: (2026)
by: Zanella, Riccardo, et al.
Published: (2026)
A Guaranteed-Stable Neural Network Approach for Optimal Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)
by: Li, Anran, et al.
Published: (2025)
Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
by: Zhu, Yuchen, et al.
Published: (2025)
by: Zhu, Yuchen, et al.
Published: (2025)
Certified Approximate Reachability (CARe): Formal Error Bounds on Deep Learning of Reachable Sets
by: Solanki, Prashant, et al.
Published: (2025)
by: Solanki, Prashant, et al.
Published: (2025)
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System
by: Dai, Yongcheng, et al.
Published: (2023)
by: Dai, Yongcheng, et al.
Published: (2023)
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks
by: Sanguin, Gabriele, et al.
Published: (2025)
by: Sanguin, Gabriele, et al.
Published: (2025)
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
by: Súkeník, Peter, et al.
Published: (2024)
by: Súkeník, Peter, et al.
Published: (2024)
Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
by: Hoffmann, Matthias K., et al.
Published: (2025)
by: Hoffmann, Matthias K., et al.
Published: (2025)
Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)
by: Feng, Lechen, et al.
Published: (2025)
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
by: Pineda, Salvador, et al.
Published: (2024)
by: Pineda, Salvador, et al.
Published: (2024)
Learning to Optimally Dispatch Power: Performance on a Nation-Wide Real-World Dataset
by: Boero, Ignacio, et al.
Published: (2025)
by: Boero, Ignacio, et al.
Published: (2025)
A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs
by: Coelho, C., et al.
Published: (2023)
by: Coelho, C., et al.
Published: (2023)
Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Non-Penalty Approach
by: Feng, Lechen, et al.
Published: (2025)
by: Feng, Lechen, et al.
Published: (2025)
On the Stability Connection Between Discrete-Time Algorithms and Their Resolution ODEs: Applications to Min-Max Optimisation
by: Farzin, Amir Ali, et al.
Published: (2026)
by: Farzin, Amir Ali, et al.
Published: (2026)
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
by: Kamboj, Ankur, et al.
Published: (2026)
by: Kamboj, Ankur, et al.
Published: (2026)
Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization
by: Gong, Xindi, et al.
Published: (2026)
by: Gong, Xindi, et al.
Published: (2026)
Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem
by: Gonzalo, Valdes
Published: (2024)
by: Gonzalo, Valdes
Published: (2024)
Similar Items
-
Model order reduction via Lie groups
by: Wotte, Yannik P., et al.
Published: (2025) -
Expressivity of Quadratic Neural ODEs
by: Hanson, Joshua, et al.
Published: (2025) -
Rademacher Complexity of Neural ODEs via Chen-Fliess Series
by: Hanson, Joshua, et al.
Published: (2024) -
Control Disturbance Rejection in Neural ODEs
by: Bayram, Erkan, et al.
Published: (2025) -
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks
by: Cipriani, Cristina, et al.
Published: (2023)