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Model Reduction and Neural Networks

Model Reduction and Neural Networks

154 faculty research Model Reduction and Neural Networks on GradNova.

Z
Advanced Optimization Algorithms Research
Electromagnetic Scattering and Analysis
Matrix Theory and Algorithms
Model Reduction and Neural Networks
+1
C
Biosystems & Computational Biology (bio)
Control, Intelligent Systems, and Robotics (cir)
Formal Methods in Verification
Model Reduction and Neural Networks
+1
A
Artificial Intelligence (ai)
Scientific Computing (sci)
Machine Learning in Materials Science
Model Reduction and Neural Networks
+3
J
Artificial Intelligence (ai)
Computer Architecture & Engineering (arc)
Control, Intelligent Systems, and Robotics (cir)
Cyber-Physical Systems and Design Automation (cpsda)
+7
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
J
Distributed Control Multi-Agent Systems
Model Reduction and Neural Networks
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
+1
L
Distributed and Parallel Computing Systems
Gene Regulatory Network Analysis
Model Reduction and Neural Networks
Numerical Methods for Differential Equations
+1
F
Advanced Mathematical Modeling in Engineering
Advanced Numerical Methods in Computational Mathematics
Lattice Boltzmann Simulation Studies
Model Reduction and Neural Networks
+1
S
Advanced Thermodynamics and Statistical Mechanics
Adversarial Robustness in Machine Learning
Model Reduction and Neural Networks
Neural Dynamics and Brain Function
+1
D
Climate Variability and Models
Heat Transfer and Optimization
Meteorological Phenomena and Simulations
Model Reduction and Neural Networks
+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
Advanced Neural Network Applications
Anomaly Detection Techniques and Applications
Fluid Dynamics and Vibration Analysis
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
M
Model Reduction and Neural Networks
Photoacoustic and Ultrasonic Imaging
Ultrasonics and Acoustic Wave Propagation
Ultrasound and Hyperthermia Applications
+1
W
Networking and Computer Systems
Parallel Computing and Optimization Techniques
Advanced Data Storage Technologies
Advanced Neural Network Applications
+2
S
Cyclone Separators and Fluid Dynamics
Fluid Dynamics and Turbulent Flows
Granular Flow and Fluidized Beds
Model Reduction and Neural Networks
+1
S
Machine Learning
Generative Adversarial Networks and Image Synthesis
Advanced Graph Neural Networks
Machine Learning in Materials Science
+2
E
Elizabeth Qian

Assistant Professor, Joint with the Daniel…

College of Computing

Georgia Institute of Technology

Advanced Multi-Objective Optimization Algorithms
Advanced Numerical Methods in Computational Mathematics
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
+1
R
Advanced Antenna and Metasurface Technologies
Antenna Design and Analysis
Metamaterials and Metasurfaces Applications
Model Reduction and Neural Networks
+1
S
Surya Kalidindi

Regents' Professor, Rae S. and Frank H. Neely Chair

College of Computing

Georgia Institute of Technology

Effects and Risks of Endocrine Disrupting Chemicals
Machine Learning in Materials Science
Model Reduction and Neural Networks
Polymer Crystallization and Properties
+1
S
Advanced Optimization Algorithms Research
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Sparse and Compressive Sensing Techniques
+1
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