Saved in:
| Main Authors: | Pan, Yang, Hutter, Clemens, Bölcskei, Helmut |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.01250 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Momentum Accelerates Evolutionary Dynamics
by: Harper, Marc, et al.
Published: (2020)
by: Harper, Marc, et al.
Published: (2020)
On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
by: Garrabe, Emiland, et al.
Published: (2023)
by: Garrabe, Emiland, et al.
Published: (2023)
Generating Rectifiable Measures through Neural Networks
by: Riegler, Erwin, et al.
Published: (2024)
by: Riegler, Erwin, et al.
Published: (2024)
Simplicity bias, algorithmic probability, and the random logistic map
by: Hamzi, Boumediene, et al.
Published: (2023)
by: Hamzi, Boumediene, et al.
Published: (2023)
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression
by: Ou, Weigutian, et al.
Published: (2024)
by: Ou, Weigutian, et al.
Published: (2024)
Three Quantization Regimes for ReLU Networks
by: Ou, Weigutian, et al.
Published: (2024)
by: Ou, Weigutian, et al.
Published: (2024)
Learning Transfer Operators by Kernel Density Estimation
by: Surasinghe, Sudam, et al.
Published: (2022)
by: Surasinghe, Sudam, et al.
Published: (2022)
Information theory and discriminative sampling for model discovery
by: Bao, Yuxuan, et al.
Published: (2025)
by: Bao, Yuxuan, et al.
Published: (2025)
Loss Barcode: A Topological Measure of Escapability in Loss Landscapes
by: Barannikov, Serguei, et al.
Published: (2020)
by: Barannikov, Serguei, et al.
Published: (2020)
Fractals made Practical: Denoising Diffusion as Partitioned Iterated Function Systems
by: Dooms, Ann
Published: (2026)
by: Dooms, Ann
Published: (2026)
Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors
by: Bhan, Luke, et al.
Published: (2025)
by: Bhan, Luke, et al.
Published: (2025)
Formal Entropy-Regularized Control of Stochastic Systems
by: van Zutphen, Menno, et al.
Published: (2026)
by: van Zutphen, Menno, et al.
Published: (2026)
Probabilistic Predictability of Stochastic Dynamical Systems
by: Xu, Tao, et al.
Published: (2022)
by: Xu, Tao, et al.
Published: (2022)
Universality of almost periodic orbits in certain composite functions
by: Nakayama, Chikara, et al.
Published: (2023)
by: Nakayama, Chikara, et al.
Published: (2023)
Time Series Correlations and Kolmogorov Complexity: A Hausdorff Dimension Perspective
by: Hamzi, Boumediene, et al.
Published: (2026)
by: Hamzi, Boumediene, et al.
Published: (2026)
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
by: Chen, Chuanqi, et al.
Published: (2023)
by: Chen, Chuanqi, et al.
Published: (2023)
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
by: Farkane, Ayoub, et al.
Published: (2025)
by: Farkane, Ayoub, et al.
Published: (2025)
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems
by: Dang, Gang, et al.
Published: (2024)
by: Dang, Gang, et al.
Published: (2024)
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
by: Viknesh, Siva, et al.
Published: (2024)
by: Viknesh, Siva, et al.
Published: (2024)
Autoencoding Dynamics: Topological Limitations and Capabilities
by: Kvalheim, Matthew D., et al.
Published: (2025)
by: Kvalheim, Matthew D., et al.
Published: (2025)
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
by: Wang, Shida, et al.
Published: (2023)
by: Wang, Shida, et al.
Published: (2023)
A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements
by: Ma, Mason, et al.
Published: (2023)
by: Ma, Mason, et al.
Published: (2023)
Generalized Quadratic Embeddings for Nonlinear Dynamics using Deep Learning
by: Goyal, Pawan, et al.
Published: (2022)
by: Goyal, Pawan, et al.
Published: (2022)
An Information Theory of Finite Abstractions and their Fundamental Scalability Limits
by: Delimpaltadakis, Giannis, et al.
Published: (2025)
by: Delimpaltadakis, Giannis, et al.
Published: (2025)
Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models
by: Dong, Xinghao, et al.
Published: (2025)
by: Dong, Xinghao, et al.
Published: (2025)
Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)
by: Brooks, John W., et al.
Published: (2024)
by: Brooks, John W., et al.
Published: (2024)
Mean dimension and rate-distortion function revisited
by: Yang, Rui
Published: (2025)
by: Yang, Rui
Published: (2025)
Data Denoising and Derivative Estimation for Data-Driven Modeling of Nonlinear Dynamical Systems
by: Yao, Jiaqi, et al.
Published: (2025)
by: Yao, Jiaqi, et al.
Published: (2025)
Limits and Powers of Koopman Learning
by: Colbrook, Matthew J., et al.
Published: (2024)
by: Colbrook, Matthew J., et al.
Published: (2024)
Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
by: Zhou, Ruikun, et al.
Published: (2024)
by: Zhou, Ruikun, et al.
Published: (2024)
On the Convergence of Hermitian Dynamic Mode Decomposition
by: Boullé, Nicolas, et al.
Published: (2024)
by: Boullé, Nicolas, et al.
Published: (2024)
On the metric mean dimensions of saturated sets
by: Ji, Yong, et al.
Published: (2024)
by: Ji, Yong, et al.
Published: (2024)
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
by: Quartz, Thanin, et al.
Published: (2024)
by: Quartz, Thanin, et al.
Published: (2024)
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
by: Murphy, Kieran A., et al.
Published: (2023)
by: Murphy, Kieran A., et al.
Published: (2023)
RECURSIVE INFORMATION PROCESSING: AN OBSERVER-AWARE FRAMEWORK FOR ADAPTIVE INTELLIGENCE AND VISION SYSTEMS
by: Singh, Rajiv
Published: (2026)
by: Singh, Rajiv
Published: (2026)
Clustering Time-Evolving Networks Using the Spatio-Temporal Graph Laplacian
by: Trower, Maia, et al.
Published: (2024)
by: Trower, Maia, et al.
Published: (2024)
Transfer operators on graphs: Spectral clustering and beyond
by: Klus, Stefan, et al.
Published: (2023)
by: Klus, Stefan, et al.
Published: (2023)
Transmission Neural Networks: Inhibitory and Excitatory Connections
by: Gao, Shuang, et al.
Published: (2026)
by: Gao, Shuang, et al.
Published: (2026)
Kernel Methods for Stochastic Dynamical Systems with Application to Koopman Eigenfunctions: Feynman-Kac Representations and RKHS Approximation
by: Hamzi, Boumediene, et al.
Published: (2026)
by: Hamzi, Boumediene, et al.
Published: (2026)
The Work Capacity of Channels with Memory: Maximum Extractable Work in Percept-Action Loops
by: Fiderer, Lukas J., et al.
Published: (2025)
by: Fiderer, Lukas J., et al.
Published: (2025)
Similar Items
-
Momentum Accelerates Evolutionary Dynamics
by: Harper, Marc, et al.
Published: (2020) -
On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
by: Garrabe, Emiland, et al.
Published: (2023) -
Generating Rectifiable Measures through Neural Networks
by: Riegler, Erwin, et al.
Published: (2024) -
Simplicity bias, algorithmic probability, and the random logistic map
by: Hamzi, Boumediene, et al.
Published: (2023) -
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression
by: Ou, Weigutian, et al.
Published: (2024)