Towards Self-explainable Deep Learning Models
Prof. Michael Kampffmeyer, UiT The Arctic University of Norway
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B1 L4 R 4102
Seminar
Apr 14 - Apr 20, 2024
Can neural ODEs forecast weather?
Dr. Markus Heinonen, Academy Research Fellow, Aalto Univeristy, Finland
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B1 L4 R 4102
Feb 25 - Mar 2, 2024
Nov 12 - Nov 18, 2023
Family of Mean-Mixtures of Multivariate Normal Distributions
Prof. Narayanaswamy Balakrishnan, Department of Mathematics and Statistics, McMaster University
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B1 L4 R4102
Jun 4 - Jun 10, 2023
Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence
Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA
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B1 L4 R4102
Mar 12 - Mar 18, 2023
On Inference About the Smoothness Parameter in Gaussian Matern Random Fields
Prof. Victor DeOliveira, Professor in Department of Management Science and Statistics in the Carlos Alvarez College of Business
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B1 L4 R4102
Feb 12 - Feb 18, 2023
Conditional Kernel Density Estimation For Dependent Data, Mean Shift Algorithm and Predictive Regions in Human Health
Prof. Mohamed El Machkouri, Associate professor, Applied Mathematics, University of Rouen Normandy
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B1 L4 R4102
Feb 5 - Feb 11, 2023
Nov 13 - Nov 19, 2022
Nov 6 - Nov 12, 2022
Oct 16 - Oct 22, 2022
Inference for Longitudinal Data After Adaptive Sampling
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
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B9 L2 H2
We used Reinforcement Learning; but did it work?
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
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B9 L2 H2
May 29 - Jun 4, 2022
Differentially private testing of symmetry equivalence hypotheses based on the characteristic function
Prof. Simos G. Meintanis, University of Athens
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B1 L4 R4102
Apr 24 - Apr 30, 2022
Apr 17 - Apr 23, 2022
Gaussian Graphical Regression with High-Dimensional Responses and Covariates
Yi Li, Professor, Biostatistics, University of Michigan
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B2 B3 A0215
Apr 10 - Apr 16, 2022
Feb 13 - Feb 19, 2022
Jan 30 - Feb 5, 2022
Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective
Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories
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KAUST
Dec 5 - Dec 11, 2021
Nov 28 - Dec 4, 2021
Semiparametric Regression Models for Between and Within-subject Attributes: Applications to High-Dimensional Data, Asymptotic Efficiency and Beyond
Jinyuan Liu, PhD Student, Biostatistics, University of California, USA
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KAUST
Oct 10 - Oct 16, 2021
Bayesian image analysis in Fourier space (BIFS) models and some relationships with Markov random fields
Prof. John Kornak, Biostatistics, University of California, San Francisco
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B4 B5 A0215
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London
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KAUST
Sep 26 - Oct 2, 2021
Randomized multilevel Monte Carlo for inference
Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut
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KAUST
Aug 29 - Sep 4, 2021
Sequential Monte Carlo Algorithms for Agent-Based Models of Disease Transmission
Jeremy Heng, Applied Mathematics and Computational Sciences (AMCS), ESSEC Business School, Singapore
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KAUST
Aug 15 - Aug 21, 2021
Machine Learning in Healthcare: When Low Sample Size is not a Limitation
Dr. Ricardo Henao, Biostatistics and Bioinformatics, Duke University
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KAUST
Mar 7 - Mar 13, 2021
Analysis of the compressible two-phase flow
Dr. Ewelina Zatorska, Senior Lecturer in the Applied and Numerical Analysis, Imperial College London
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KAUST
Feb 14 - Feb 20, 2021
Feb 7 - Feb 13, 2021
Nov 29 - Dec 5, 2020
Transparent and Robust Causal Inference in Data Science
Carlos Cinelli, Ph.D. candidate, Department of Statistics, UCLA
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KAUST
Feb 2 - Feb 8, 2020
Geospatial Data Science for Public Health Surveillance - Seminar
Paula Moraga, Lecturer, Department of Mathematical Sciences, University of Bath, UK
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B9 L2 H2
