Modeling chaotic Lorenz ODE System using Scientific Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kashyap, Sameera S, Dandekar, Raj Abhijit, Dandekar, Rajat, Panat, Sreedath |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
by: Martinez, Raymundo Vazquez, et al.
Published: (2024)
Scientific machine learning in ecological systems: A study on the predator-prey dynamics
by: Devgupta, Ranabir, et al.
Published: (2024)
by: Devgupta, Ranabir, et al.
Published: (2024)
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
by: Murgai, Sharv, et al.
Published: (2024)
by: Murgai, Sharv, et al.
Published: (2024)
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
by: Naik, Nachiket N., et al.
Published: (2025)
by: Naik, Nachiket N., et al.
Published: (2025)
A study of Universal ODE approaches to predicting soil organic carbon
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)
Adaptive tumor growth forecasting via neural & universal ODEs
by: Subramanian, Kavya, et al.
Published: (2025)
by: Subramanian, Kavya, et al.
Published: (2025)
Understanding Malware Propagation Dynamics through Scientific Machine Learning
by: Pappu, Karthik, et al.
Published: (2025)
by: Pappu, Karthik, et al.
Published: (2025)
Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI
by: Abraar, Mohammed, et al.
Published: (2026)
by: Abraar, Mohammed, et al.
Published: (2026)
Vision-Language Models display a strong gender bias
by: Konavoor, Aiswarya, et al.
Published: (2025)
by: Konavoor, Aiswarya, et al.
Published: (2025)
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
by: S, Suriya R, et al.
Published: (2025)
by: S, Suriya R, et al.
Published: (2025)
Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs
by: Shaikh, Ammar, et al.
Published: (2024)
by: Shaikh, Ammar, et al.
Published: (2024)
Latent Multi-Head Attention for Small Language Models
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Muon: Training and Trade-offs with Latent Attention and MoE
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
Decoders Laugh as Loud as Encoders
by: Borodach, Eli, et al.
Published: (2025)
by: Borodach, Eli, et al.
Published: (2025)
Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
Simulating Misinformation Propagation in Social Networks using Large Language Models
by: Maurya, Raj Gaurav, et al.
Published: (2025)
by: Maurya, Raj Gaurav, et al.
Published: (2025)
HULLMI: Human vs LLM identification with explainability
by: Joshi, Prathamesh Dinesh, et al.
Published: (2024)
by: Joshi, Prathamesh Dinesh, et al.
Published: (2024)
Physical Informed Neural Networks for modeling ocean pollutant
by: Battina, Karishma, et al.
Published: (2025)
by: Battina, Karishma, et al.
Published: (2025)
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
by: Salunke, Miheer, et al.
Published: (2025)
by: Salunke, Miheer, et al.
Published: (2025)
NanoVLMs: How small can we go and still make coherent Vision Language Models?
by: Agarwalla, Mukund, et al.
Published: (2025)
by: Agarwalla, Mukund, et al.
Published: (2025)
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English
by: Dawson, Fiifi, et al.
Published: (2024)
by: Dawson, Fiifi, et al.
Published: (2024)
Three methods, one problem: Classical and AI approaches to no-three-in-line
by: Ramanathan, Pranav, et al.
Published: (2025)
by: Ramanathan, Pranav, et al.
Published: (2025)
Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance
by: Patil, Nirvan, et al.
Published: (2025)
by: Patil, Nirvan, et al.
Published: (2025)
Model-Grounded Symbolic Artificial Intelligence Systems Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems
by: Chattopadhyay, Aniruddha, et al.
Published: (2025)
by: Chattopadhyay, Aniruddha, et al.
Published: (2025)
A Descriptive and Normative Theory of Human Beliefs in RLHF
by: Dandekar, Sylee, et al.
Published: (2025)
by: Dandekar, Sylee, et al.
Published: (2025)
LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems
by: Li, Haoran, et al.
Published: (2026)
by: Li, Haoran, et al.
Published: (2026)
Modeling Feature Maps for Quantum Machine Learning
by: Singh, Navneet, et al.
Published: (2025)
by: Singh, Navneet, et al.
Published: (2025)
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
by: Panat, Tanay, et al.
Published: (2025)
by: Panat, Tanay, et al.
Published: (2025)
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
by: Han, Chao, et al.
Published: (2026)
by: Han, Chao, et al.
Published: (2026)
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning
by: Pourkamali-Anaraki, Farhad, et al.
Published: (2024)
by: Pourkamali-Anaraki, Farhad, et al.
Published: (2024)
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
by: Huang, Zijie, et al.
Published: (2024)
by: Huang, Zijie, et al.
Published: (2024)
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Learning Equivariant Functions via Quadratic Forms
by: Karjol, Pavan, et al.
Published: (2025)
by: Karjol, Pavan, et al.
Published: (2025)
Unlocking the Potential of Continual Model Merging: An ODE Perspective
by: Lin, Lihong, et al.
Published: (2026)
by: Lin, Lihong, et al.
Published: (2026)
An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data
by: Singh, Navneet, et al.
Published: (2024)
by: Singh, Navneet, et al.
Published: (2024)
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
by: Peng, Wenqing, et al.
Published: (2025)
by: Peng, Wenqing, et al.
Published: (2025)
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
by: Liu, Shuze Daniel, et al.
Published: (2024)
by: Liu, Shuze Daniel, et al.
Published: (2024)
A Neural ODE Approach to Aircraft Flight Dynamics Modelling
by: Jarry, Gabriel, et al.
Published: (2025)
by: Jarry, Gabriel, et al.
Published: (2025)
Applications of Scientific Machine Learning for the Analysis of Functionally Graded Porous Beams
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
Similar Items
-
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
by: Martinez, Raymundo Vazquez, et al.
Published: (2024) -
Scientific machine learning in ecological systems: A study on the predator-prey dynamics
by: Devgupta, Ranabir, et al.
Published: (2024) -
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
by: Murgai, Sharv, et al.
Published: (2024) -
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
by: Naik, Nachiket N., et al.
Published: (2025) -
A study of Universal ODE approaches to predicting soil organic carbon
by: V. V, Satyanarayana Raju G., et al.
Published: (2025)