Imme Ebert-Uphoff

54 papers A* 15C 2Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	(Re)Conceptualizing trustworthy AI: A foundation for change. Artif. Intell. Christopher D. Wirz, Julie L. Demuth, Ann Bostrom, Mariana G. Cains, Imme Ebert-Uphoff, David John Gagne, Andrea Schumacher, Amy McGovern, Deianna Madlambayan
2025	J	`jnl`	Score-based diffusion nowcasting of GOES imagery. CoRR Randy J. Chase, Katherine Haynes, Lander Ver Hoef, Imme Ebert-Uphoff
2025	J	`jnl`	Transparent Machine Learning: Training and Refining an Explainable Boosting Machine to Identify Overshooting Tops in Satellite Imagery. CoRR Nathan Mitchell, Lander Ver Hoef, Imme Ebert-Uphoff, Kristina Moen, Kyle Hilburn, Yoonjin Lee, Emily J. King
2024	J	`jnl`	AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Mag. Amy McGovern, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz
2024	C	`conf`	Building Unified Global 3D Cloud Data From Multiple Satellites For Advancing Weather And Climate Research. IGARSS Yoo-Jeong Noh, John M. Haynes, Steven D. Miller, Charles White, Brandon Daub, Imme Ebert-Uphoff, Hungjui Yu, Jason Apke, Randy J. Chase, Katherine Haynes, Jeremy Solbrig, Evan Rose, Matthew King, Leigh Cheatwood
2024	J	`jnl`	Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery. CoRR Ryan Lagerquist, Galina Chirokova, Robert DeMaria, Mark DeMaria, Imme Ebert-Uphoff
2024	J	`jnl`	Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models. CoRR Mark DeMaria, James L. Franklin, Galina Chirokova, Jacob Radford, Roberto Demaria, Kate D. Musgrave, Imme Ebert-Uphoff
2024	J	`jnl`	SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. CoRR Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles W. Anderson
2022	J	`jnl`	A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science. CoRR Lander Ver Hoef, Henry Adams, Emily J. King, Imme Ebert-Uphoff
2022	J	`jnl`	Can we integrate spatial verification methods into neural-network loss functions for atmospheric science? CoRR Ryan Lagerquist, Imme Ebert-Uphoff
2022	J	`jnl`	Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience. CoRR Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff
2022	J	`jnl`	Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience. CoRR Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff
2022	J	`jnl`	Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks. CoRR Akansha Singh Bansal, Yoonjin Lee, Kyle Hilburn, Imme Ebert-Uphoff
2021	J	`jnl`	CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences - Version 1. CoRR Imme Ebert-Uphoff, Ryan Lagerquist, Kyle Hilburn, Yoonjin Lee, Katherine Haynes, Jason Stock, Christina Kumler, Jebb Q. Stewart
2021	J	`jnl`	Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset. CoRR Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes
2021	J	`jnl`	The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. CoRR Amy McGovern, Imme Ebert-Uphoff, David John Gagne II, Ann Bostrom
2020	J	`jnl`	Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations. CoRR Kyle A. Hilburn, Imme Ebert-Uphoff, Steven D. Miller
2020	J	`jnl`	Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications. CoRR Imme Ebert-Uphoff, Kyle A. Hilburn
2020	—	`conf`	Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science. xxAI@ICML Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes
2019	J	`jnl`	Intelligent systems for geosciences: an essential research agenda. Commun. ACM Yolanda Gil, Suzanne A. Pierce, Hassan A. Babaie, Arindam Banerjee, Kirk D. Borne, Gary S. Bust, Michelle Cheatham, Imme Ebert-Uphoff, Carla P. Gomes, Mary C. Hill, John D. Horel, Leslie Hsu, Jim Kinter, Craig A. Knoblock, David M. Krum, Vipin Kumar, Pierre F. J. Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar
2019	J	`jnl`	Machine Learning for the Geosciences: Challenges and Opportunities. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
2019	J	`jnl`	Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability. CoRR Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff
2017	J	`jnl`	Causal discovery in the geosciences - Using synthetic data to learn how to interpret results. Comput. Geosci. Imme Ebert-Uphoff, Yi Deng
2017	A*	`conf`	High-Dimensional Dependency Structure Learning for Physical Processes. ICDM Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee
2017	J	`jnl`	High-Dimensional Dependency Structure Learning for Physical Processes. CoRR Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee
2017	J	`jnl`	Machine Learning for the Geosciences: Challenges and Opportunities. CoRR Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
2015	J	`jnl`	Identifying Physical Interactions from Climate Data: Challenges and Opportunities. Comput. Sci. Eng. Imme Ebert-Uphoff, Yi Deng
2015	J	`jnl`	Using Causal Discovery to Track Information Flow in Spatio-Temporal Data - A Testbed and Experimental Results Using Advection-Diffusion Simulations. CoRR Imme Ebert-Uphoff, Yi Deng
2014	C	`conf`	Causal Discovery from Spatio-Temporal Data with Applications to Climate Science. ICMLA Imme Ebert-Uphoff, Yi Deng
2006	A*	`conf`	Disturbance Robustness Measures for Underconstrained Cable-driven Robots. ICRA Paul Bosscher, Imme Ebert-Uphoff
2006	J	`jnl`	Wrench-feasible workspace generation for cable-driven robots. IEEE Trans. Robotics Paul Bosscher, Andrew T. Riechel, Imme Ebert-Uphoff
2005	J	`jnl`	Application of the Antipodal Grasp Theorem to Cable-Driven Robots. IEEE Trans. Robotics Philip A. Voglewede, Imme Ebert-Uphoff
2005	J	`jnl`	Overarching framework for measuring closeness to singularities of parallel manipulators. IEEE Trans. Robotics Philip A. Voglewede, Imme Ebert-Uphoff
2004	A*	`conf`	A Stability Measure for Underconstrained Cable-driven Robots. ICRA Paul Bosscher, Imme Ebert-Uphoff
2004	J	`jnl`	Active acceleration compensation for transport vehicles carrying delicate objects. IEEE Trans. Robotics Anh X. Dang, Imme Ebert-Uphoff
2004	A*	`conf`	Force-feasible Workspace Analysis for Underconstrained, Point-mass Cable Robots. ICRA Andrew T. Riechel, Imme Ebert-Uphoff
2004	A*	`conf`	Measuring "Closeness" to Singularities for Parallel Manipulators. ICRA Philip A. Voglewede, Imme Ebert-Uphoff
2004	A*	`conf`	On the Connections between Cable-driven Robots, Parallel Manipulators and Grasping. ICRA Imme Ebert-Uphoff, Philip A. Voglewede
2004	A*	`conf`	Wrench-based Analysis of Cable-driven Robots. ICRA Paul Bosscher, Imme Ebert-Uphoff
2003	A*	`conf`	A Novel Mechanism for Implementing Multiple Collocated Spherical Joints. ICRA Paul Bosscher, Imme Ebert-Uphoff
2003	A*	`conf`	Digital clay: architecture designs for shape-generating mechanisms. ICRA Paul Bosscher, Imme Ebert-Uphoff
2003	—	`conf`	Finger Sculpting with Digital Clay: 3D Shape Input and Output through a Computer-Controlled Real Surfac. Shape Modeling International Jarek Rossignac, Mark Allen, Wayne J. Book, Ari Glezer, Imme Ebert-Uphoff, Christopher D. Shaw, David Rosen, Stephen Askins, Jing Bai, Paul Bosscher, Joshua Gargus, Byungmoon Kim, Ignacio Llamas, Austina Nguyen, Guang Yuan, Haihong Zhu
2003	J	`jnl`	Introducing parallel manipulators through laboratory experiments. IEEE Robotics Autom. Mag. Imme Ebert-Uphoff
2002	A*	`conf`	Two Viewpoints on the Unconstrained Motion of Parallel Manipulators at or Near Singular Configurations. ICRA Philip A. Voglewede, Imme Ebert-Uphoff
2001	A*	`conf`	Investigation of the Deficiencies of Parallel Manipulators in Singular Configurations Through the Jacobian Nullspace. ICRA Vincent K. Chan, Imme Ebert-Uphoff
2001	A*	`conf`	Motion Planning for Active Acceleration Compensation. ICRA Michael W. Decker, Anh X. Dang, Imme Ebert-Uphoff
1999	A*	`conf`	Dynamic Modeling of a Class of Spatial Statically-Balanced Parallel Platform Mechanisms. ICRA Imme Ebert-Uphoff, Clément Gosselin
1998	J	`jnl`	Corrections To "Numerical Convolution On The Euclidean Group With Applications To Workspace Generation". IEEE Trans. Robotics Autom. Gregory S. Chirikjian, Imme Ebert-Uphoff
1998	A*	`conf`	Discretely Actuated Manipulator Workspace Generation using Numerical Convolution on the Euclidean Group. ICRA Gregory S. Chirikjian, Imme Ebert-Uphoff
1998	J	`jnl`	Numerical convolution on the Euclidean group with applications to workspace generation. IEEE Trans. Robotics Autom. Gregory S. Chirikjian, Imme Ebert-Uphoff
1997	J	`jnl`	Useful metrics for modular robot motion planning. IEEE Trans. Robotics Autom. Amit Pamecha, Imme Ebert-Uphoff, Gregory S. Chirikjian
1996	J	`jnl`	Evaluating efficiency of self-reconfiguration in a class of modular robots. J. Field Robotics Gregory S. Chirikjian, Amit Pamecha, Imme Ebert-Uphoff
1996	A*	`conf`	Inverse kinematics of discretely actuated hyper-redundant manipulators using workspace densities. ICRA Imme Ebert-Uphoff, Gregory S. Chirikjian
1995	J	`jnl`	Efficient workspace generation for binary manipulators with many actuators. J. Field Robotics Imme Ebert-Uphoff, Gregory S. Chirikjian