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Gaussian Processes and Bayesian Inference

Gaussian Processes and Bayesian Inference

49 faculty research Gaussian Processes and Bayesian Inference on GradNova.

X
Uncertainty Quantification, Data-Driven Modeling, Numerical Optimization, Optimal Experimental Design, Bayesian Analysis, Machine Learning
Probabilistic and Robust Engineering Design
Advanced Multi-Objective Optimization Algorithms
Optimal Experimental Design Methods
+2
R
Computational Microstructure Characterization
Design Under Uncertainty
Materials Informatics
Probabilistic Machine Learning
+6
N
Naichen Shi

Assistant Professor of Industrial Engineering and Management Sciences and Mechanical Engineering

Department of Mechanical Engineering

Northwestern University

Advanced Manufacturing
AI and Design
Computational Engineering
Stochastic Gradient Optimization Techniques
+4
S
Machine Learning
Multi-Agent Systems
Optimization and Control
Reinforcement Learning
+5
Y
Fusion Materials and Technologies
Gaussian Processes and Bayesian Inference
Nuclear Engineering Thermal-Hydraulics
Nuclear Materials and Properties
+1
R
Bayesian Learning
Machine Learning
Neural Networks
Neural Networks and Applications
+4
S
Shubhanshu Shekhar

Assistant Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Machine Learning
Statistics.
Machine Learning and Algorithms
Advanced Bandit Algorithms Research
+3
G
Adaptive Control of Nonlinear Systems
Advanced Control Systems Optimization
Control Systems and Identification
Gaussian Processes and Bayesian Inference
+1
T
Advanced Control Systems Optimization
Building Energy and Comfort Optimization
Energy Efficient Wireless Sensor Networks
Gaussian Processes and Bayesian Inference
+1
S
Distributed Control Multi-Agent Systems
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
P
Pascal Germain

Département d'informatique et de génie logiciel

Computer Science

Université Laval

Apprentissage Machine
Intelligence Artificielle (ia)
Machine Learning and Algorithms
Domain Adaptation and Few-Shot Learning
+3
P
Petar Djuric

Distinguished Professor: Savitri Devi Bangaru Professor of Artificial Intelligence

Department of Electrical and Computer Engineering

Stony Brook University

Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Fault Detection and Control Systems
Gaussian Processes and Bayesian Inference
+1
A
Andrew Gordon Wilson

Professor of Computer Science and Data Science

Computer Science

New York University

Bayesian Statistics
Machine Learning
Numerical Linear Algebra
Gaussian Processes and Bayesian Inference
+4
D
Diana Cai

Assistant Professor of Computer Science

Computer Science

Cornell University

Artificial Intelligence (ai)
Bayesian Analysis
Data Mining
Machine Learning
+7
R
<p>machine Learning and Robotics</p>
Autonomous Vehicle Technology and Safety
Gaussian Processes and Bayesian Inference
Reinforcement Learning in Robotics
+2
A
Ai4science
Decision-Making Under Uncertainty
Deep Learning
Uncertainty Quantification
+5
R
Advanced Bandit Algorithms Research
Advanced Multi-Objective Optimization Algorithms
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
+1
K
Advanced Bandit Algorithms Research
Auction Theory and Applications
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
+1
B
Computer Vision
Machine Learning
Robotics
Reinforcement Learning in Robotics
+4
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
W
Advanced Bandit Algorithms Research
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
P
Fluid Dynamics and Turbulent Flows
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Neural Networks and Applications
+1
J
Complex Datasets
Deep Learning
Density Estimation
Generative Models
+13
A
Advanced Bandit Algorithms Research
Advanced Multi-Objective Optimization Algorithms
Gaussian Processes and Bayesian Inference
Machine Learning and Data Classification
+1
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