Kernel Methods in Uncertainty Quantification and Experimental Design Poster Session

Presenter: Louis Allain (Safran)
Collaborator(s): Sébastein Da Veiga, Brain Staber
Title: Adaptive Conformal Prediction using Kernel Methods

Presenter: Steven Barnett (Virginia Polytechnic Institute & State University (Virginia Tech))
Collaborator(s): Robert B. Gramacy, Lauren J. Beesley, Dave Osthus, Daniel B. Reisenfeld
Title: Deep Gaussian Process Poisson Modeling of Large-Scale Satellite Count Data for Computer Model Calibration

Presenter: Romain Boutelet (Michigan State University)
Collaborator(s): Dr. Chih-Li Sung
Title: Active Learning for Finite Element Simulations with Adaptive Non-Stationary Kernel Function

Presenter: Sachit Butail (Northern Illinois University)
Collaborator(s): Oluwatobi Kushimo, Lauren Beliveau, Teague R. Henry, Alethea Barbaro, Jennifer MacCormack, Nicole Abaid
Title: Dynamics of Evacuating Groups Under Stress

Presenter: Chun-Yi Chang (Michigan State University)
Collaborator(s): Chih-Li Sung
Title: Deep Intrinsic Coregionalization Multi-Output Gaussian Process

Presenter: Jiaheng Chen (University of Chicago)
Collaborator(s): Omar Al-Ghattas, Daniel Sanz-Alonso, Nathan Waniorek
Title: Covariance and Precision Estimation for Gaussian Processes

Presenter: Weiqi Chu (University of Massachusetts Amherst)
Collaborator(s): Qin Li, Alina Chertock
Title: Model Reduction for Multiscale Dynamics on Networks

Presenter: Xinyi Fang (University of California, Santa Barbara (UCSB))
Collaborator(s): Mengyang Gu
Title: The inverse Kalman filter

Presenter: Anna Flowers (Virginia Polytechnic Institute & State University (Virginia Tech))
Collaborator(s): Robert B. Gramacy, Christopher T. Franck, Chiwoo Park, Mikaël Binois
Title: Modular Jump Gaussian Processes

Presenter: Junoh Heo (Michigan State University)
Collaborator(s): Romain Boutelet, Chih-Li Sung
Title: Diffusion Non-Additive Model for Multi-Fidelity Computer Experiments with Tuning Parameters

Presenter: Ruhui Jin (University of Wisconsin, Madison)
Collaborator(s): Martin Guerra, Qin Li, Stephen Mussmann, Stephen Wright
Title: Optimal design via gradient flow

Presenter: Aryeh Keating (Virginia Polytechnic Institute & State University (Virginia Tech))
Collaborator(s): Mirjeta Pasha
Title: Sequential Dynamic Image Reconstruction Through Kalman Filtering and Smoothing with Optical Flow Motion Estimation

Presenter: Katherine Kreuser (Clemson University)
Title: Physically Informed Estimation of $r$-year Return Levels of Storm Surges

Presenter: Yizi Lin (University of California, Santa Barbara (UCSB))
Collaborator(s): Xubo Liu, Paul Segall, Mengyang Gu
Title: Fast data inversion for high-dimensional dynamical systems from noisy measurements

Presenter: Chunghee Nam (Hannam University)
Title: Multi objective optimization of catalyst materials and experimental conditions based on benchmarking datasets

Presenter: Juan Felipe Osorio Ramirez (University of Washington)
Collaborator(s): Yasamin Jalalian, Alex Hsu, Bamdad Hosseini, Houman Owhadi
Title: Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis

Presenter: PARUL VIJAY PATIL (Virginia Polytechnic Institute & State University (Virginia Tech))
Collaborator(s): Leah R. Johnson, Robert B, Gramacy
Title: Gaussian Process Forecasting of Tick Population Dynamics

Presenter: Justin Reverdi (Liebherr Aerospace, Laboratoire IRIT and Université de Toulouse III (IMT))
Collaborator(s): Justin Reverdi, PhD student at IRIT Laboratory and LIBHERR Aerospace Toulouse. Sixin Zhang (supervisor) and Serge Gratton (director) from IRIT Laboratory. Fabrice Gamboa (co-director) from the Université de Toulouse III (IMT). Nicolas Canouet from LIBHERR Aerospace Toulouse.
Title: LIPSCHITZ BOUNDS WITH RANDOM FEATURES FOR KERNEL MACHINE

Presenter: Thomas Scott (University of Texas, Austin)
Collaborator(s): Thomas A. Scott, Tan Bui-Thanh, M. Paul Laiu, and John F Langford Jr
Title: Model-constrained Gaussian processes for physics- and dimension-reduction of PDEs

Presenter: Rudi Smith (Virginia Polytechnic Institute & State University (Virginia Tech))
Collaborator(s): Mirjeta Pasha, Hussam Al Daas, Grey Ballard
Title: Efficient Sketching Based Summation of Tucker Tensors

Presenter: Alexandra Stadler (Johannes Kepler University Linz)
Collaborator(s): Werner G. Müller, Radoslav Harman
Title: Green LIME: Improving AI Explainability through Design of Experiments

Presenter: Tim Michael Steinert (University of Bern)
Collaborator(s): David Ginsbourger August Lykke-Møller Ove Christiansen Henry Moss
Title: Integration-free kernels for equivariant GP modelling

Presenter: Shangkun Wang (Georgia Institute of Technology)
Collaborator(s): Roshan Joseph
Title: Heteroskedastic Rational Kriging

Presenter: Minshen Xu (University of Massachusetts Amherst)
Collaborator(s): Shiwei Lan, Lulu Kang
Title: Bayesian Bridge Gaussian Process Regression

Presenter: Ruiyi Yang (Princeton University)
Collaborator(s): Daniel Sanz-Alonso
Title: Gaussian Process Regression under Computational and Epistemic Misspecification