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Gaussian Processes and Bayesian Inference Research Faculty | GradNova

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Gaussian Processes and Bayesian Inference

Gaussian Processes and Bayesian Inference

21 faculty research Gaussian Processes and Bayesian Inference on GradNova.

A

Assistant Professor

Computer Science

Yale University

Bayesian Modeling and Causal Inference

Gaussian Processes and Bayesian Inference

Logic, Reasoning, and Knowledge

Machine Learning and Algorithms

+1

A

Agustinus Kristiadi

Assistant Professor

Computer Science

Western University

Decision-Making Under Uncertainty

Uncertainty Quantification

+5

M

Teaching Professor

Computer Science

Washington University in St. Louis

Advanced Graph Neural Networks

Gaussian Processes and Bayesian Inference

Plant Pathogens and Fungal Diseases

Smart Agriculture and AI

+1

R

Associate Professor

Computer Science

Washington University in St. Louis

Advanced Bandit Algorithms Research

Advanced Multi-Objective Optimization Algorithms

Gaussian Processes and Bayesian Inference

Machine Learning and Algorithms

+1

B

Professor

Computer Science

University of Washington

Computer Vision

Machine Learning

Reinforcement Learning in Robotics

+4

S

Associate Professor

School of Computing

University of Utah

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

Willie Neiswanger

Assistant Professor of Computer Science

Computer Science

University of Southern California

Advanced Bandit Algorithms Research

Gaussian Processes and Bayesian Inference

Machine Learning and Algorithms

Machine Learning and Data Classification

+1

P

Paris Perdikaris

Professor

Computer Science

University of Pennsylvania

Fluid Dynamics and Turbulent Flows

Gaussian Processes and Bayesian Inference

Model Reduction and Neural Networks

Neural Networks and Applications

+1

J

Associate Professor

Computer Science

University of North Carolina at Chapel Hill

Complex Datasets

Density Estimation

Generative Models

+13

T

Assistant Professor

Computer Science

University of Massachusetts Boston

Advanced Image Fusion Techniques

EEG and Brain-Computer Interfaces

Gaussian Processes and Bayesian Inference

Remote-Sensing Image Classification

+1

R

Rebecca Morrison

Assistant Professor

Computer Science

University of Colorado Boulder

Bayesian Modeling and Causal Inference

Gaussian Processes and Bayesian Inference

Model Reduction and Neural Networks

Probabilistic and Robust Engineering Design

+1

E

Professor and HPI Director

Computer Science

University of California, Irvine

Advanced Image and Video Retrieval Techniques

Advanced Vision and Imaging

Bayesian Methods and Mixture Models

Bayesian Modeling and Causal Inference

+1

S

Associate Professor and HPI Co-Director

Computer Science

University of California, Irvine

Anomaly Detection Techniques and Applications

Gaussian Processes and Bayesian Inference

Generative Adversarial Networks and Image Synthesis

Meteorological Phenomena and Simulations

+1

G

Associate Member - Statistics

Computer Science

University of British Columbia

Machine Learning

Gaussian Processes and Bayesian Inference

+4

T

Trevor Campbell

Associate Member - Statistics

Computer Science

University of British Columbia

Bayesian Methods and Mixture Models

Gaussian Processes and Bayesian Inference

Markov Chains and Monte Carlo Methods

Statistical Methods and Bayesian Inference

+1

F

Professor

Computer Science

University of British Columbia

Artificial Intelligence & Machine Learning

Programming Languages

Statistical & Theoretical Machine Learning

Gaussian Processes and Bayesian Inference

+4

E

Professor

Computer Science

Princeton University

Machine Learning

Reinforcement Learning in Robotics

Model Reduction and Neural Networks

+3

E

Assistant Professor

Computer Science

Johns Hopkins University

Machine Learning

Gaussian Processes and Bayesian Inference

Generative Adversarial Networks and Image Synthesis

+2

D

Professor of Computer Science

Computer Science

Cornell University

Bayesian Analysis

Machine Learning

Scientific Computing

Spatial Analysis or Spatial Statistics

+6

D

Professor, Joint with Statistics

Computer Science

Columbia University

Scalable Bayesian Computation

Statistical Machine Learning

Bayesian Methods and Mixture Models

+4

D

Associate Professor

Computer Science

Brigham Young University

Diet and Metabolism Studies

Gastroesophageal Reflux and Treatments

Gastrointestinal Motility and Disorders

Helicobacter Pylori-Related Gastroenterology Studies

+6