Cover Image

LINOCS: Lookahead Inference of Networked Operators for Continuous Stability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mudrik, Noga, Yezerets, Eva, Chen, Yenho, Rozell, Christopher, Charles, Adam
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
by: Mudrik, Noga, et al.
Published: (2022)

Multi-Integration of Labels across Categories for Component Identification (MILCCI)
by: Mudrik, Noga, et al.
Published: (2026)

CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations
by: Mudrik, Noga, et al.
Published: (2024)

Approximate Control for Continuous-Time POMDPs
by: Eich, Yannick, et al.
Published: (2024)

Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories
by: Banus, Jaume, et al.
Published: (2025)

Control of Medical Digital Twins with Artificial Neural Networks
by: Böttcher, Lucas, et al.
Published: (2024)

MetaboNet: The Largest Publicly Available Consolidated Dataset for Type 1 Diabetes Management
by: Wolff, Miriam K., et al.
Published: (2026)

GenAI-Net: A Generative AI Framework for Automated Biomolecular Network Design
by: Filo, Maurice, et al.
Published: (2026)

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
by: Chen, Yenho, et al.
Published: (2024)

Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
by: Sun, Yuhao, et al.
Published: (2025)

Numerical Stability of DeepGOPlus Inference
by: Pepe, Inés Gonzalez, et al.
Published: (2022)

Bounding Transient Moments for a Class of Stochastic Reaction Networks Using Kolmogorov's Backward Equation
by: Iwasaki, Takeyuki, et al.
Published: (2026)

Continuous body 3-D reconstruction of limbless animals
by: Fu, Qiyuan, et al.
Published: (2021)

Ferrohydrodynamic Microfluidics for Bioparticle Separation and Single-Cell Phenotyping: Principles, Applications, and Emerging Directions
by: Zhang, Yuhao, et al.
Published: (2025)

STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics
by: Rocha, Joao F., et al.
Published: (2025)

Investigating the consequences of mechanical ventilation in clinical intensive care settings through an evolutionary game-theoretic framework
by: Albers, David J., et al.
Published: (2025)

Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge
by: Zhang, Zhenyi, et al.
Published: (2025)

A novel mathematical model for predicting the benefits of physical activity on type 2 diabetes progression
by: De Paola, Pierluigi Francesco, et al.
Published: (2024)

Employing observability rank conditions for taking into account experimental information a priori
by: Villaverde, Alejandro F.
Published: (2024)

Analysing control-theoretic properties of nonlinear synthetic biology circuits
by: Pardo, Antón, et al.
Published: (2024)

Instability Margin Analysis for Parametrized LTI Systems with Application to Repressilator
by: Hara, Shinji, et al.
Published: (2020)

A Structured Review of Fixed and Multimodal Sensing Techniques for Bat Monitoring
by: Sefawe, Maatla, et al.
Published: (2025)

A Control-theoretic Model for Bidirectional Molecular Communication Systems
by: Kotsuka, Taishi, et al.
Published: (2022)

ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking
by: Maffetone, Joseph, et al.
Published: (2025)

A bioreactor-based architecture for in vivo model-based and sim-to-real learning control of microbial consortium composition
by: Brancato, Sara Maria, et al.
Published: (2025)

A predictive modular approach to constraint satisfaction under uncertainty -- with application to glycosylation in continuous monoclonal antibody biosimilar production
by: Wang, Yu, et al.
Published: (2025)

BaMANI: Bayesian Multi-Algorithm causal Network Inference
by: Latifizadeh, Habibolla, et al.
Published: (2025)

Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)

InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference
by: Cui, Tianyu, et al.
Published: (2025)

Acceleration of Moment Bound Optimization for Stochastic Chemical Reactions Using Reaction-wise Sparsity of Moment Equations
by: Sadatoshi, Tomoki, et al.
Published: (2026)

Identifiability of nonlinear ODE Models with Time-Varying Parameters: the General Analytical Solution and Applications in Viral Dynamics
by: Martinelli, Agostino
Published: (2022)

Non-Negative Universal Differential Equations With Applications in Systems Biology
by: Philipps, Maren, et al.
Published: (2024)

Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)
by: Ciocanel, Maria-Veronica, et al.
Published: (2025)

Learning dynamical systems with biochemically informed neural ordinary differential equations
by: Fonseca, Luis L., et al.
Published: (2026)

Discovering stochastic dynamical equations from biological time series data
by: Nabeel, Arshed, et al.
Published: (2022)

Predicting discrete-time bifurcations with deep learning
by: Bury, Thomas M., et al.
Published: (2023)

A Closed-loop Framework to Discriminate Models Using Optimal Control
by: Pagnier, Laurent, et al.
Published: (2026)

Identifiable specializations for ODE models
by: Ovchinnikov, Alexey, et al.
Published: (2023)

Robust Multi-view Co-expression Network Inference
by: Pandeva, Teodora, et al.
Published: (2024)

Recent progress in the physical principles of dynamic ground self-righting
by: Li, Chen
Published: (2024)