arXiv Machine Learning
Simulation-free Structure Learning for Stochastic Population Dynamics
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arXiv AI
Jun 11
Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
arXiv:2605. 00545v2 Announce Type: replace-cross Abstract: Inferring cellular trajectories from destructive snapshots is complicated by the challenges of stochasticity and non-conservative mass dynamics such as cell proliferation and apoptosis.
arXiv Machine Learning
Aug 27
Simultaneous inference of environmental and interaction forces in collective dynamics
The paper presents a variational learning framework that simultaneously infers non‑parametric interaction kernels and environmental or intra‑agent forces in collective dynamics. It extends existing methods to handle both interaction and environmental components, validating the approach on benchmark models such as synchronization, alignment, and attraction‑repulsion systems. A model‑selection procedure is also introduced to identify the best explanatory framework from trajectory data, enabling direct recovery of mechanistic interaction mechanisms.
arXiv AI
Jun 11
FreeBridge: Variational Schr\"odinger Bridges for Cellular Transition Dynamics
arXiv:2606. 11286v1 Announce Type: cross Abstract: High-content imaging assays quantify cellular responses to chemical and genetic perturbations, yet continuous trajectories of individual cells are unobservable because cells are chemically fixed at acquisition.
arXiv Machine Learning
1d ago
Learning Macroscopic Dynamics without Reconstructing Microscopic States
arXiv:2609.37392v1 Announce Type: new Abstract: Modeling the temporal evolution of macroscopic properties of complex systems is an important scientific task. To predict this evolution without full mi...
arXiv Machine Learning
Aug 4
HyperODE: Zero-Shot Surrogate for Simulation and Inference of Dynamical Systems
arXiv:2608. 00852v1 Announce Type: new Abstract: Understanding and controlling complex dynamical systems often requires executing thousands of numerical simulations across vast parametric landscapes, which is time-consuming.
Hugging Face Trending Papers
Sep 17
Correlation-Free Transition Path Sampling through Shooting Point Generation Guided by Committor Learning
Studying the dynamical behavior of a system often depends on characterizing how it transitions between long-lived states. Because such transitions are rare, observing them usually requires specialized...