:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Chi, Cheng
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2401.01836
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
by: Peng, Wenqing, et al.
Published: (2025)

Identification For Control Based on Neural Networks: Approximately Linearizable Models
by: Thieffry, Maxime, et al.
Published: (2024)

ReCODE: Modeling Repeat Consumption with Neural ODE
by: Dai, Sunhao, et al.
Published: (2024)

On Tuning Neural ODE for Stability, Consistency and Faster Convergence
by: Akhtar, Sheikh Waqas
Published: (2023)

Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
by: Han, Chao, et al.
Published: (2026)

A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)

A Neural ODE Approach to Aircraft Flight Dynamics Modelling
by: Jarry, Gabriel, et al.
Published: (2025)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)

NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation
by: Li, Yifei, et al.
Published: (2024)

Lightweight Neural App Control
by: Christianos, Filippos, et al.
Published: (2024)

Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
by: Joy, Usman Gani
Published: (2025)

Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
by: Doshi, Vivan
Published: (2025)

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
by: Tong, Anh, et al.
Published: (2025)

BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
by: Naik, Nachiket N., et al.
Published: (2025)

Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE
by: Hashimoto, Koji, et al.
Published: (2024)

Verification of Neural Network Control Systems in Continuous Time
by: ArjomandBigdeli, Ali, et al.
Published: (2024)

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
by: Wan, Guancheng, et al.
Published: (2024)

Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control
by: Li, Xiao, et al.
Published: (2025)

Bridging Neural ODE and ResNet: A Formal Error Bound for Safety Verification
by: Sayed, Abdelrahman Sayed, et al.
Published: (2025)

Latent Neural-ODE for Model-Informed Precision Dosing: Overcoming Structural Assumptions in Pharmacokinetics
by: Maurel, Benjamin, et al.
Published: (2026)

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
by: Qin, Tiexin, et al.
Published: (2023)

Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
by: Gao, Feng, et al.
Published: (2024)

Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems
by: Apostolakis, Theocharis, et al.
Published: (2023)

Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
by: Zou, Mengbang, et al.
Published: (2024)

LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems
by: Li, Haoran, et al.
Published: (2026)

ODE-based Learning to Optimize
by: Xie, Zhonglin, et al.
Published: (2024)

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems
by: Alexos, Antonios, et al.
Published: (2024)

Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
by: Verma, Yogesh, et al.
Published: (2024)

Introducing Interval Neural Networks for Uncertainty-Aware System Identification
by: Ferah, Mehmet Ali, et al.
Published: (2025)

Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
by: Kim, Suzie
Published: (2025)

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
by: Ma, Xinhang, et al.
Published: (2025)

Neural Control Barrier Functions from Physics Informed Neural Networks
by: Agrawal, Shreenabh, et al.
Published: (2025)

Modeling chaotic Lorenz ODE System using Scientific Machine Learning
by: Kashyap, Sameera S, et al.
Published: (2024)

Neural Control System for Continuous Glucose Monitoring and Maintenance
by: Wasi, Azmine Toushik
Published: (2024)

Neural Proofs for Sound Verification and Control of Complex Systems
by: Abate, Alessandro
Published: (2025)

Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning
by: Yang, Yuxuan, et al.
Published: (2025)

Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
by: Cena, Carlo, et al.
Published: (2026)

ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
by: Mei, Wenjie, et al.
Published: (2024)

CoPRIS: Efficient and Stable Reinforcement Learning via Concurrency-Controlled Partial Rollout with Importance Sampling
by: Qu, Zekai, et al.
Published: (2025)