Saved in:
| Main Author: | Kartal, Hakan Emre |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2606.02381 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When is a System Discoverable from Data? Discovery Requires Chaos
by: Shumaylov, Zakhar, et al.
Published: (2025)
by: Shumaylov, Zakhar, et al.
Published: (2025)
A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router
by: Kiselev, O. M.
Published: (2026)
by: Kiselev, O. M.
Published: (2026)
Horizon-Constrained Rashomon Sets for Chaotic Forecasting
by: Kale, Gauri, et al.
Published: (2026)
by: Kale, Gauri, et al.
Published: (2026)
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
by: Hemmer, Christoph Jürgen, et al.
Published: (2025)
by: Hemmer, Christoph Jürgen, et al.
Published: (2025)
Out-of-Domain Generalization in Dynamical Systems Reconstruction
by: Göring, Niclas, et al.
Published: (2024)
by: Göring, Niclas, et al.
Published: (2024)
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
by: Hemmer, Christoph Jürgen, et al.
Published: (2024)
by: Hemmer, Christoph Jürgen, et al.
Published: (2024)
A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam
by: Saini, Shivani, et al.
Published: (2025)
by: Saini, Shivani, et al.
Published: (2025)
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling: Improving Dissolved Oxygen Concentration Prediction in an Industrial Wastewater Treatment Plant
by: Koksal, Ece S., et al.
Published: (2024)
by: Koksal, Ece S., et al.
Published: (2024)
Dynamical Systems Theory Behind a Hierarchical Reasoning Model
by: Es'kin, Vasiliy A., et al.
Published: (2026)
by: Es'kin, Vasiliy A., et al.
Published: (2026)
Large-Step Training Dynamics of a Two-Factor Linear Transformer Model
by: Balasubramanian, Krishnakumar
Published: (2026)
by: Balasubramanian, Krishnakumar
Published: (2026)
Inverse Depth Scaling From Most Layers Being Similar
by: Liu, Yizhou, et al.
Published: (2026)
by: Liu, Yizhou, et al.
Published: (2026)
Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations
by: van Tegelen, Eva, et al.
Published: (2026)
by: van Tegelen, Eva, et al.
Published: (2026)
Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling
by: Durstewitz, Daniel, et al.
Published: (2026)
by: Durstewitz, Daniel, et al.
Published: (2026)
Language models as master equation solvers
by: Liu, Chuanbo, et al.
Published: (2023)
by: Liu, Chuanbo, et al.
Published: (2023)
Identifying Equivalent Training Dynamics
by: Redman, William T., et al.
Published: (2023)
by: Redman, William T., et al.
Published: (2023)
Detecting Invariant Manifolds in ReLU-Based RNNs
by: Eisenmann, Lukas, et al.
Published: (2025)
by: Eisenmann, Lukas, et al.
Published: (2025)
Manifold Trajectories in Next-Token Prediction: From Replicator Dynamics to Softmax Equilibrium
by: Lee-Jenkins, Christopher R.
Published: (2025)
by: Lee-Jenkins, Christopher R.
Published: (2025)
Decomposing heterogeneous dynamical systems with graph neural networks
by: Allier, Cédric, et al.
Published: (2024)
by: Allier, Cédric, et al.
Published: (2024)
Improved deep learning of chaotic dynamical systems with multistep penalty losses
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)
by: Chakraborty, Dibyajyoti, et al.
Published: (2024)
On the Limitations of Fractal Dimension as a Measure of Generalization
by: Tan, Charlie B., et al.
Published: (2024)
by: Tan, Charlie B., et al.
Published: (2024)
The Recurrent Sticky Hierarchical Dirichlet Process Hidden Markov Model
by: Słupiński, Mikołaj, et al.
Published: (2024)
by: Słupiński, Mikołaj, et al.
Published: (2024)
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
by: Słupiński, Mikołaj, et al.
Published: (2024)
by: Słupiński, Mikołaj, et al.
Published: (2024)
On the dimension of pullback attractors in recurrent neural networks
by: Fadera, Muhammed
Published: (2025)
by: Fadera, Muhammed
Published: (2025)
Confabulation dynamics in a reservoir computer: Filling in the gaps with untrained attractors
by: O'Hagan, Jack, et al.
Published: (2025)
by: O'Hagan, Jack, 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)
Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks
by: Gao, Mars Liyao, et al.
Published: (2025)
by: Gao, Mars Liyao, et al.
Published: (2025)
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models
by: Hoover, Benjamin, et al.
Published: (2023)
by: Hoover, Benjamin, et al.
Published: (2023)
Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics -- Rotating Detonation Engines
by: Bao, Yuxuan, et al.
Published: (2026)
by: Bao, Yuxuan, et al.
Published: (2026)
Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
by: Betteti, Simone, et al.
Published: (2026)
by: Betteti, Simone, et al.
Published: (2026)
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks
by: Dong, Zhikang, et al.
Published: (2022)
by: Dong, Zhikang, et al.
Published: (2022)
A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion
by: Or, Barak, et al.
Published: (2022)
by: Or, Barak, et al.
Published: (2022)
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
by: Brenner, Manuel, et al.
Published: (2024)
by: Brenner, Manuel, et al.
Published: (2024)
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
by: Hammoud, Mohamad Abed El Rahman, et al.
Published: (2024)
by: Hammoud, Mohamad Abed El Rahman, et al.
Published: (2024)
Kernel Dynamics under Path Entropy Maximization
by: Das, Jnaneshwar
Published: (2026)
by: Das, Jnaneshwar
Published: (2026)
How to Tame Your LLM: Semantic Collapse in Continuous Systems
by: Wyss, C. M.
Published: (2025)
by: Wyss, C. M.
Published: (2025)
Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs
by: Krach, Florian, et al.
Published: (2024)
by: Krach, Florian, et al.
Published: (2024)
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
by: Nzoyem, Roussel Desmond, et al.
Published: (2024)
by: Nzoyem, Roussel Desmond, et al.
Published: (2024)
Loss Barcode: A Topological Measure of Escapability in Loss Landscapes
by: Barannikov, Serguei, et al.
Published: (2020)
by: Barannikov, Serguei, et al.
Published: (2020)
Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning
by: Wang, Tianwei, et al.
Published: (2026)
by: Wang, Tianwei, et al.
Published: (2026)
Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions
by: Dang, Ha, et al.
Published: (2026)
by: Dang, Ha, et al.
Published: (2026)
Similar Items
-
When is a System Discoverable from Data? Discovery Requires Chaos
by: Shumaylov, Zakhar, et al.
Published: (2025) -
A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router
by: Kiselev, O. M.
Published: (2026) -
Horizon-Constrained Rashomon Sets for Chaotic Forecasting
by: Kale, Gauri, et al.
Published: (2026) -
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
by: Hemmer, Christoph Jürgen, et al.
Published: (2025) -
Out-of-Domain Generalization in Dynamical Systems Reconstruction
by: Göring, Niclas, et al.
Published: (2024)