#dynamical-systems

The latest AI and developer news about #dynamical-systems, with the original source and a short summary.

NeurIPS 2026 Paper Introduces DynaBase, a Minimal 1-Parameter Architecture for Zero-Shot Dynamical System Reconstruction

The paper demonstrates that a piecewise affine map with a single parameter and a context selector can reproduce major dynamical regimes and outperform larger foundation models in zero-shot settings.

·1·2026.10.04 21:00

NeurIPS 2026 Paper Proposes Topological Out-of-Domain Generalization for Dynamical Systems Reconstruction

The paper introduces feature-splitting and physical sparsity priors to enable hierarchical DSR models to predict bifurcations and unseen dynamical regimes without explicit control parameter knowledge.

·2·2026.10.03 00:00

NeurIPS 2026 Spotlight: Parallel-in-Time RNN Training Achieves >100x Speedup for Chaotic Dynamical Systems

Combining DEER with generalized teacher forcing enables stable, parallel training on time series exceeding 1 million steps, significantly outperforming Mamba.

·2026.10.01 22:00

Predicting Rollout Errors in Diffusion Models

Bidirectional diffusion models estimate rollout errors using forward-backward round-trip discrepancies.

·2026.08.06 21:00

A New Paradigm for Time Series Modeling: A Dynamical Systems Perspective

A research paper has been published arguing that a Dynamical Systems Reconstruction (DSR) perspective should be adopted to overcome the limitations of time series modeling.

·1·2026.06.20 17:00