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ORCIDImme Ebert-Uphoff
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2020 – today
- 2024
[j15]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:
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Mag. 45(1): 105-110 (2024)- [c19]Yoo-Jeong Noh, John M. Haynes, Steven D. Miller, Charles White, Brandon Daub, Imme Ebert-Uphoff, Hungjui Yu, Jason Apke, Randy Chase, Katherine Haynes, Jeremy Solbrig, Evan Rose, Matthew King, Leigh Cheatwood:
Building Unified Global 3D Cloud Data From Multiple Satellites For Advancing Weather And Climate Research. IGARSS 2024: 1280-1283 - [i17]Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles W. Anderson:
SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. CoRR abs/2406.16955 (2024) - [i16]Mark DeMaria, James L. Franklin, Galina Chirokova, Jacob Radford, Roberto Demaria, Kate D. Musgrave, Imme Ebert-Uphoff:
Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models. CoRR abs/2409.06735 (2024) - [i15]Ryan Lagerquist, Galina Chirokova, Robert DeMaria, Mark DeMaria, Imme Ebert-Uphoff:
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery. CoRR abs/2409.16507 (2024) - 2022
- [i14]Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff:
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience. CoRR abs/2202.03407 (2022) - [i13]Ryan Lagerquist, Imme Ebert-Uphoff:
Can we integrate spatial verification methods into neural-network loss functions for atmospheric science? CoRR abs/2203.11141 (2022) - [i12]Lander Ver Hoef, Henry Adams, Emily J. King, Imme Ebert-Uphoff:
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science. CoRR abs/2207.10552 (2022) - [i11]Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff:
Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience. CoRR abs/2208.09473 (2022) - [i10]Akansha Singh Bansal, Yoonjin Lee, Kyle Hilburn, Imme Ebert-Uphoff:
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks. CoRR abs/2210.12310 (2022) - 2021
- [i9]Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes:
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset. CoRR abs/2103.10005 (2021) - [i8]Imme Ebert-Uphoff, Ryan Lagerquist, Kyle Hilburn, Yoonjin Lee, Katherine Haynes, Jason Stock, Christina Kumler, Jebb Q. Stewart:
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences - Version 1. CoRR abs/2106.09757 (2021) - [i7]Amy McGovern, Imme Ebert-Uphoff, David John Gagne II, Ann Bostrom:
The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. CoRR abs/2112.08453 (2021) - 2020
- [c18]Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes:
Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science. xxAI@ICML 2020: 315-339 - [i6]Kyle A. Hilburn, Imme Ebert-Uphoff, Steven D. Miller:
Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations. CoRR abs/2004.07906 (2020) - [i5]Imme Ebert-Uphoff, Kyle A. Hilburn:
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications. CoRR abs/2005.03126 (2020)
2010 – 2019
- 2019
- [j14]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:
Intelligent systems for geosciences: an essential research agenda. Commun. ACM 62(1): 76-84 (2019) - [j13]Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar:
Machine Learning for the Geosciences: Challenges and Opportunities. IEEE Trans. Knowl. Data Eng. 31(8): 1544-1554 (2019) - [i4]Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff:
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability. CoRR abs/1912.01752 (2019) - 2017
- [j12]Imme Ebert-Uphoff, Yi Deng:
Causal discovery in the geosciences - Using synthetic data to learn how to interpret results. Comput. Geosci. 99: 50-60 (2017) - [c17]Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee:
High-Dimensional Dependency Structure Learning for Physical Processes. ICDM 2017: 883-888 - [i3]Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee:
High-Dimensional Dependency Structure Learning for Physical Processes. CoRR abs/1709.03891 (2017) - [i2]Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar:
Machine Learning for the Geosciences: Challenges and Opportunities. CoRR abs/1711.04708 (2017) - 2015
- [j11]Imme Ebert-Uphoff, Yi Deng:
Identifying Physical Interactions from Climate Data: Challenges and Opportunities. Comput. Sci. Eng. 17(6): 27-34 (2015) - [i1]Imme Ebert-Uphoff, Yi Deng:
Using Causal Discovery to Track Information Flow in Spatio-Temporal Data - A Testbed and Experimental Results Using Advection-Diffusion Simulations. CoRR abs/1512.08279 (2015) - 2014
- [c16]Imme Ebert-Uphoff, Yi Deng:
Causal Discovery from Spatio-Temporal Data with Applications to Climate Science. ICMLA 2014: 606-613
2000 – 2009
- 2006
- [j10]Paul Bosscher, Andrew T. Riechel, Imme Ebert-Uphoff:
Wrench-feasible workspace generation for cable-driven robots. IEEE Trans. Robotics 22(5): 890-902 (2006) - [c15]Paul Bosscher, Imme Ebert-Uphoff:
Disturbance Robustness Measures for Underconstrained Cable-driven Robots. ICRA 2006: 4205-4212 - 2005
- [j9]Philip A. Voglewede, Imme Ebert-Uphoff:
Application of the Antipodal Grasp Theorem to Cable-Driven Robots. IEEE Trans. Robotics 21(4): 713-718 (2005) - [j8]Philip A. Voglewede, Imme Ebert-Uphoff:
Overarching framework for measuring closeness to singularities of parallel manipulators. IEEE Trans. Robotics 21(6): 1037-1045 (2005) - 2004
- [j7]Anh X. Dang, Imme Ebert-Uphoff:
Active acceleration compensation for transport vehicles carrying delicate objects. IEEE Trans. Robotics 20(5): 830-839 (2004) - [c14]Imme Ebert-Uphoff, Philip A. Voglewede:
On the Connections between Cable-driven Robots, Parallel Manipulators and Grasping. ICRA 2004: 4521-4526 - [c13]Philip A. Voglewede, Imme Ebert-Uphoff:
Measuring "Closeness" to Singularities for Parallel Manipulators. ICRA 2004: 4539-4544 - [c12]Paul Bosscher, Imme Ebert-Uphoff:
A Stability Measure for Underconstrained Cable-driven Robots. ICRA 2004: 4943-4949 - [c11]Paul Bosscher, Imme Ebert-Uphoff:
Wrench-based Analysis of Cable-driven Robots. ICRA 2004: 4950-4955 - [c10]Andrew T. Riechel, Imme Ebert-Uphoff:
Force-feasible Workspace Analysis for Underconstrained, Point-mass Cable Robots. ICRA 2004: 4956-4962 - 2003
- [j6]Imme Ebert-Uphoff:
Introducing parallel manipulators through laboratory experiments. IEEE Robotics Autom. Mag. 10(3): 13-19 (2003) - [c9]Paul Bosscher, Imme Ebert-Uphoff:
A Novel Mechanism for Implementing Multiple Collocated Spherical Joints. ICRA 2003: 336-341 - [c8]Paul Bosscher, Imme Ebert-Uphoff:
Digital clay: architecture designs for shape-generating mechanisms. ICRA 2003: 834-841 - [c7]Jarek Rossignac, Mark Allen, Wayne J. Book, Ari Glezer, Imme Ebert-Uphoff, Christopher D. Shaw, David W. Rosen, Stephen Askins, Jing Bai, Paul Bosscher, Joshua Gargus, ByungMoon Kim, Ignacio Llamas, Austina Nguyen, Guang Yuan, Haihong Zhu:
Finger Sculpting with Digital Clay: 3D Shape Input and Output through a Computer-Controlled Real Surfac. Shape Modeling International 2003: 229-234, 296 - 2002
- [c6]Philip A. Voglewede, Imme Ebert-Uphoff:
Two Viewpoints on the Unconstrained Motion of Parallel Manipulators at or Near Singular Configurations. ICRA 2002: 503-510 - 2001
- [c5]Michael W. Decker, Anh X. Dang, Imme Ebert-Uphoff:
Motion Planning for Active Acceleration Compensation. ICRA 2001: 1257-1264 - [c4]Vincent K. Chan, Imme Ebert-Uphoff:
Investigation of the Deficiencies of Parallel Manipulators in Singular Configurations Through the Jacobian Nullspace. ICRA 2001: 1313-1320
1990 – 1999
- 1999
- [c3]Imme Ebert-Uphoff, Clément Gosselin:
Dynamic Modeling of a Class of Spatial Statically-Balanced Parallel Platform Mechanisms. ICRA 1999: 881-888 - 1998
- [j5]Gregory S. Chirikjian, Imme Ebert-Uphoff:
Numerical convolution on the Euclidean group with applications to workspace generation. IEEE Trans. Robotics Autom. 14(1): 123-136 (1998) - [j4]Gregory S. Chirikjian, Imme Ebert-Uphoff:
Corrections To "Numerical Convolution On The Euclidean Group With Applications To Workspace Generation". IEEE Trans. Robotics Autom. 14(2): 360 (1998) - [c2]Gregory S. Chirikjian, Imme Ebert-Uphoff:
Discretely Actuated Manipulator Workspace Generation using Numerical Convolution on the Euclidean Group. ICRA 1998: 742-749 - 1997
- [j3]Amit Pamecha, Imme Ebert-Uphoff, Gregory S. Chirikjian:
Useful metrics for modular robot motion planning. IEEE Trans. Robotics Autom. 13(4): 531-545 (1997) - 1996
- [j2]Gregory S. Chirikjian, Amit Pamecha, Imme Ebert-Uphoff:
Evaluating efficiency of self-reconfiguration in a class of modular robots. J. Field Robotics 13(5): 317-338 (1996) - [c1]Imme Ebert-Uphoff, Gregory S. Chirikjian:
Inverse kinematics of discretely actuated hyper-redundant manipulators using workspace densities. ICRA 1996: 139-145 - 1995
- [j1]Imme Ebert-Uphoff, Gregory S. Chirikjian:
Efficient workspace generation for binary manipulators with many actuators. J. Field Robotics 12(6): 383-400 (1995)
Coauthor Index
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