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Model Reduction and Neural Networks

Model Reduction and Neural Networks

30 faculty research Model Reduction and Neural Networks on GradNova.

A
Hydrological Forecasting Using AI
Hydrology and Watershed Management Studies
Model Reduction and Neural Networks
Neural Networks and Applications
+1
S
Artificial Intelligence (ml: Theory and Modeling, Physics-Informed Machine Learning)
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Tensor Decomposition and Applications
+2
V
Artificial Intelligence (physics-Informed Machine Learning)
Scientific Computing (geometry and Mesh Generation, High-Performance Computing, Modeling Methods and Frameworks)
Model Reduction and Neural Networks
Fluid Dynamics and Turbulent Flows
+3
E
Advanced Numerical Methods in Computational Mathematics
Distributed and Parallel Computing Systems
Lattice Boltzmann Simulation Studies
Model Reduction and Neural Networks
+1
S
Stephen Tu

Assistant Professor of Electrical and Computer Engineering and Computer Science

Computer Science

University of Southern California

Adversarial Robustness in Machine Learning
Formal Methods in Verification
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
+1
P
Fluid Dynamics and Turbulent Flows
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Neural Networks and Applications
+1
M
Advanced Multi-Objective Optimization Algorithms
Generative Adversarial Networks and Image Synthesis
Model Reduction and Neural Networks
D
Coagulation and Flocculation Studies
Mathematical and Theoretical Epidemiology and Ecology Models
Mathematical Biology Tumor Growth
Model Reduction and Neural Networks
+1
R
Bayesian Modeling and Causal Inference
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
+1
S
Adversarial Robustness in Machine Learning
Control and Stability of Dynamical Systems
Microgrid Control and Optimization
Model Reduction and Neural Networks
+1
E
Model Reduction and Neural Networks
Network Security and Intrusion Detection
Neural Networks and Applications
Smart Grid Security and Resilience
+1
X
Model Reduction and Neural Networks
Numerical Methods in Inverse Problems
Stochastic Gradient Optimization Techniques
A
Artificial Intelligence (ai)
Scientific Computing (sci)
Machine Learning in Materials Science
Model Reduction and Neural Networks
+3
P
Artificial Intelligence & Machine Learning
Robotics
Scientific Computing
Visual Computing
+5
C
Advanced Neural Network Applications
Anomaly Detection Techniques and Applications
Machine Learning and Data Classification
Model Reduction and Neural Networks
+1
L
Distributed and Parallel Computing Systems
Gene Regulatory Network Analysis
Model Reduction and Neural Networks
Numerical Methods for Differential Equations
+1
N
Nima Kalantari

Associate Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Face Recognition and Analysis
Facial Rejuvenation and Surgery Techniques
Lattice Boltzmann Simulation Studies
Model Reduction and Neural Networks
+6
N
Anomaly Detection Techniques and Applications
Fluid Dynamics and Vibration Analysis
Lattice Boltzmann Simulation Studies
Model Reduction and Neural Networks
+1
A
Model Reduction and Neural Networks
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Robotic Path Planning Algorithms
+1
S
Stefano Ermon

Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment

Computer Science

Stanford University

Anomaly Detection Techniques and Applications
Geographic Information Systems Studies
Infrastructure Maintenance and Monitoring
Landslides and Related Hazards
+6
M
Advanced Numerical Methods in Computational Mathematics
COVID-19 Epidemiological Studies
Mathematical and Theoretical Epidemiology and Ecology Models
Model Reduction and Neural Networks
+1
E
Machine Learning
Robotics
Reinforcement Learning in Robotics
Model Reduction and Neural Networks
+3
W
Networking and Computer Systems
Parallel Computing and Optimization Techniques
Advanced Data Storage Technologies
Model Reduction and Neural Networks
+2
E
Elizabeth Qian

Assistant Professor, Joint with the Daniel…

College of Computing

Georgia Institute of Technology

Generative Adversarial Networks and Image Synthesis
Model Reduction and Neural Networks
Tensor Decomposition and Applications
2
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