J. Brajard, A. Charantonis, C. Chen, J. Runge (Eds.), I.
Ebert-Uphoff, C. Monteleoni, D. Nychka, E. Szekely (Series
Eds.), Proceedings of the 9th International Workshop on
Climate Informatics: CI 2019", Sept 2019. NCAR
Technical Note NCAR/ TN-561+PROC, 278 pp,
doi:10.5065/y82j-f154. Get
PDF here.
C. Chen, D. Cooley, J. Runge, and E. Szekely (Eds.), I.
Ebert-Uphoff, D. Hammerling, C. Monteleoni, D. Nychka (Series
Eds.), "Proceedings of the 8th International Workshop on
Climate Informatics: CI 2018", Sept 2018. NCAR
Technical Note NCAR/
TN-550+PROC, 151 pp, doi:10.5065/D6BZ64XQ. Get
PDF here.
V. Lyubchich, N. C. Oza, A. Rhines, and E. Szekely, eds.,
(Eds.), I. Ebert-Uphoff, C. Monteleoni, D. Nychka (Series Eds.),
"Proceedings of the 7th International Workshop on Climate
Informatics: CI 2017", Sept 2017. NCAR Technical
Note NCAR/TN-536+PROC, 132 pp, doi:10.5065/D6222SH7. Get
PDF here.
A. Banerjee, W. Ding, J. Dy, V. Lyubchich, A. Rhines (Eds.),
I. Ebert-Uphoff, C. Monteleoni, D. Nychka (Series Eds.), "Proceedings
of the 6th International Workshop on Climate Informatics: CI
2016", Sept 2016. NCAR Technical Note
NCAR/TN-529+PROC,
159 pp, doi: 10.5065/D6K072N6. Get
PDF here.
C.M. Gosselin and I. Ebert-Uphoff,
editors, Proceedings of the Workshop on Fundamental Issues and
Future Research Directions for Parallel Mechanisms and
Manipulators, Québec City, QC, Canada, Oct 2002. Published in
two versions: Printed Proceedings (359 pages) and CD
Proceedings.
Book Chapters
T. Beucler, I. Ebert-Uphoff, S. Rasp, M. Pritchard, P.
Gentine, "Machine Learning for Clouds and Climate", book
chapter in Geophysical Monograph Series, accepted Mar
2021, Preprint
here.
I. Ebert-Uphoff and Y. Deng, "Using Causal Discovery
Algorithms to Learn about our Planet's Climate", book
chapter in Machine Learning and Data Mining Approaches to
Climate Science, Proceedings of the 4th International Workshop
on Climate Informatics, Editors: V. Lakshmanan, E. Gilleland, A.
McGovern, M. Tingley, Springer, 2015, pp. 113-.126 Chapter
available here.
I. Ebert-Uphoff, C.M. Gosselin, D.W.
Rosen, T. Laliberté, “Rapid Prototyping for Robotics”, book
chapter in “Cutting Edge Robotics”, Pro Literatur Verlag,
Mammendorf, Germany, 2005, pp. 17-46.
E.A. Barnes (presenter), I. Ebert-Uphoff, J.
Hurrell, C.W. Anderson, and D. Anderson. Viewing Climate Signals
through an AI Lens (Core Science Keynote). In 100th
American Meteorological Society Annual Meeting. (Abstract
and recording of oral presentation), Jan 2020.
I. Ebert-Uphoff, Title: "An Overview of Network Methods
Focusing on Extremal Dependence", Joint Statistical Meetings
(JSM2019), July 30, 2019, Denver, CO.
I. Ebert-Uphoff, Title: "Learning networks from data in
Climate and Geosciences: Correlation Networks, Event
Synchronization and Causal Networks", Workshop on Data Analytics
for Climate and Earth (DANCE): Causality, patterns and
prediction, March 27-29, 2019, Arrowhead, CA.
I. Ebert-Uphoff, "Knowledge Discovery
in Climate Science", Invited Talk at the Fifth International
workshop on Climate Informatics (CI2015), Sept 25, 2015. Video
recording of the talk.
I. Ebert-Uphoff, "The Potential of
Causal Discovery Methods in Climate Science", NCAR CISL
presentation, National Center for Atmospheric Research,
Boulder, CO, Feb 12, 2015. Video
recording of the talk.
I. Ebert-Uphoff, "Two applications of
causal discovery in climate science", Workshop on
Case Studies of Causal Discovery with Model Search,
Carnegie Mellon University, Pittsburgh, PA, October 25-27,
2013. Video
recording of the talk.
Journal Publications
Lee, Y., Kummerow, C. D., Ebert-Uphoff, I. Applying
machine learning methods to detect convection using GOES-16 ABI
data, Atmospheric Measurement Techniques, accepted March 2021,
https://doi.org/10.5194/amt-2020-420.
Samarasinghe, S.M., Barnes, E.A., Connolly, C., Ebert-Uphoff,
I., Sun, L. Strengthened causal connections between the
MJO and the North Atlantic with climate warming, Geophysical
Research Letters, Feb 1 2021, https://doi.org/10.1029/2020GL091168.
Featured as research highlight in Nature Climate Change:
B. Langenbrunner, The Madden–Julian oscillation strengthens its
reach. Nature Climate Change, 11, 183, 3 March 2021. https://doi.org/10.1038/s41558-021-01008-7
McGovern, Amy; Bostrom, Ann; Ebert-Uphoff, Imme; He, Ruoying;
Thorncroft, Chris; Tissot, Philippe; Boukabara, Sid; Demuth,
Julie; Gagne II, David John; Hickey, Jason; Williams, John K.
(2020) Weathering Environmental Change Through Advances in AI.
EOS, Volume 101, https://doi.org/10.1029/2020EO147065,
July 2020.
Barnes, E. A., Toms, B., Hurrell, J. W., Ebert-Uphoff, I.,
Anderson, C., Anderson, D. Indicator patterns of forced change
learned by an artificial neural network. Journal of Advances in
Modeling Earth Systems (JAMES), https://doi.org/10.1029/2020MS002195,
Aug 2020. (arXiv preprint from May 2020: here).
Ebert-Uphoff, I., Hilburn, K. A. Evaluation, Tuning and
Interpretation of Neural Networks for Meteorological
Applications, Bulletin of the American Meteorological Society
(BAMS),
https://doi.org/10.1175/BAMS-D-20-0097.1,
Aug 2020. (arXiv preprint from May 2020 here).
Hilburn, K. A., Ebert-Uphoff, I., and Miller, S. D.,
Development and Interpretation of a Neural Network-Based
Synthetic Radar Reflectivity Estimator Using GOES-R Satellite
Observations. Journal of Applied Meteorology and Climatology,
https://doi.org/10.1175/JAMC-D-20-0084.1,
Dec 2020. (arXiv preprint from April 2020: here)
Toms, B. A., Barnes, E. A., & Ebert-Uphoff, I. Physically
Interpretable Neural Networks for the Geosciences: Applications
to Earth System Variability. Journal of Advances in Modeling
Earth Systems (JAMES), https://doi.org/10.1029/2019MS002002,
June 2020. (arXiv preprint V1 from Dec 2019: here)
I. Ebert-Uphoff and Y. Deng, "
Three Steps to Successful Collaboration with Data Scientists -
A step-by-step cartoon guide to efficient, effective
collaboration between Earth scientists and data scientists", Eos Earth & Space Science News,
vol. 98, Aug 2017,
https://doi.org/10.1029/2017EO079977.
Available here.
P. Bosscher, A. Riechel, I.
Ebert-Uphoff, “Wrench-Feasible Workspace Generation for
Cable-Driven Robots”, IEEE Transaction on Robotics, vol. 22,
no. 5, October 2006, pp. 890-902.
K. Kozak, W. Singhose, I. Ebert-Uphoff,
“Performance Measures for Input Shaping and Command
Generation”, ASME Journal of Dynamic Systems, Measurement and
Control, vol. 128, pp. 731-736, 2006.
P.A. Voglewede, I. Ebert-Uphoff,
“Overarching Framework for Measuring Closeness to
Singularities of Parallel Manipulators”, IEEE Transactions on
Robotics, vol. 21, no. 6, Dec 2005, pp. 1037 – 1045.
P.A. Voglewede, I. Ebert-Uphoff,
“Application of the Antipodal Grasp Theorem to Cable-Driven
Robots”, IEEE Transactions on Robotics, vol. 21, no. 4, Aug
2005, pp. 713 – 718.
A.X.H. Dang, I. Ebert-Uphoff, “Active
Acceleration Compensation for Transport Vehicles Carrying
Delicate Objects”, IEEE Transactions on Robotics, Vol. 20, No.
5, Oct 2004, pp. 830 – 839.
P.A. Voglewede, I. Ebert-Uphoff,
“Application of Workspace Generation Techniques to Determine
the Unconstrained Motion of Parallel Manipulators”, ASME
Journal of Mechanical Design, vol. 126, no. 2, March 2004, pp.
283-290.
K. Kozak, I. Ebert-Uphoff, W. Singhose,
“Locally Linearized Dynamic Analysis of Parallel Manipulators
and Application of Input Shaping to Reduce Vibration”, ASME
Journal of Mechanical Design, vol. 126, no. 1, Jan. 2004, pp.
156-168.
I. Ebert-Uphoff, “Introducing
Undergraduate Students to Parallel Manipulators Through
Hands-on Experiments”, IEEE Robotics & Automation
Magazine, special issue on “Robotics in Education”, Vol. 10,
No. 3, pp. 13-19, Sept 2003.
I. Ebert-Uphoff, K. Johnson, “Practical
Considerations for the Use of Static Balancing for Parallel
Kinematic Machines”, IMechE Journal of Multi-body Dynamics,
Special issue, Vol. 216, Part K, pp. 73-85, 2002.
I. Ebert-Uphoff, J.-K. Lee, H. Lipkin,
“Characteristic Tetrahedron of Wrench Singularities for
Parallel Manipulators with Three Legs”, IMechE Journal of
Mechanical Engineering Science (Part C), Special issue on
Spatial Mechamisms, Vol. 216, No. C1, pp. 81 - 93, 2002.
I. Ebert-Uphoff, J.F. Gardner, W.R.
Murray, R. Perez, “Preparing for the Next Century: The State
of Mechatronics Education”, IEEE/ASME Transactions on
Mechatronics, Vol. 5, No. 2, pp. 226-227, June 2000.
I. Ebert-Uphoff, C.M. Gosselin, and T.
Laliberté, “Static Balancing of Spatial Parallel Platform
Mechanisms – Revisited”, ASME Journal of Mechanical Design,
Vol. 122, No. 1, pp. 43-51, March 2000.
I. Ebert-Uphoff and G. Chirikjian,
“Discretely Actuated Manipulator Workspace Generation by
Closed-Form Convolution”, ASME Journal of Mechanical Design,
pp. 245-251, Vol 120, June 1998.
G. Chirikjian and I. Ebert-Uphoff,
“Numerical Convolution on the Euclidean Group with
Applications to Workspace Generation”, IEEE Transactions on
Robotics and Automation, pp. 123-136, Vol.14, No. 1, Feb.
1998.
A. Pamecha, I. Ebert-Uphoff and G.
Chirikjian, “Useful Metrics for Modular Robot Motion
Planning”, IEEE Transactions on Robotics and Automation, vol.
13, no. 4, pp. 531-545, August 1997.
G. Chirikjian, A. Pamecha and I.
Ebert-Uphoff, “Evaluating Efficiency of Self-Reconfiguration
in a Class of Modular Robots”, Journal of Robotics Systems,
vol. 13, no. 5, pp. 317-38, 1996.
I. Ebert-Uphoff and G. Chirikjian,
“Efficient Workspace Generation for Binary Manipulators with
Many Actuators”, Journal of Robotics Systems, vol. 12, no. 6,
pp. 383-400, 1995.
Refereed Conference Publications
E.A. Barnes, C. Anderson and I.
Ebert-Uphoff, "An AI Approach To Determining Time of Emergence
of Climate Change", Proceedings of the Eighth International
Workshop on Climate Informatics (CI 2018), 4 pages, Sept 2018. Get PDF
here.
I. Ebert-Uphoff, W. Huang, A. Mitra, D.
Cooley, S. Chatterjee, C. Chen and Z. Wang, "Studying Extremal
Dependence in Climate Using Complex Networks", Proceedings of the
Eighth International Workshop on Climate Informatics (CI
2018), 4 pages, Sept 2018. Get PDF here.
S. Samarasinghe, E. Barnes and I.
Ebert-Uphoff, "Causal discovery in the presence of latent
variables for climate science", Proceedings of the Eighth International
Workshop on Climate Informatics (CI 2018), 4 pages, Sept
2018. Get PDF here.
D. Hammerling, I. Ebert-Uphoff and A.
Baker, "Ensemble Consistency Testing Using Causal
Connectivity",
Proceedings
of the Eighth International Workshop on Climate
Informatics (CI 2018), 4 pages, Sept 2018. Get PDF here.
J. Ramsey, K. Zhang, M. Glymour, R.
Sanchez Romero, B. Huang, I. Ebert-Uphoff, S. Samarasinghe, E. Barnes
and C. Glymour, "A Toolbox for Causal Discovery", Proceedings of the Eighth
International Workshop on Climate Informatics (CI
2018), 4 pages, Sept 2018. Get PDF here.
J. Golmohammadi, I. Ebert-Uphoff, S. He,
Y. Deng, A. Banerjee, "High-Dimensional Dependency Structure
Learning for Physical Processes", IEEE International
Conference on Data Mining (ICDM), New Orleans,
Louisiana, USA, pp. 883-888, Nov 18-21, 2017,
doi:10.1109/ICDM.2017.109. Available
here.
S. Samarasinghe, M. McGraw, E.A. Barnes, I. Ebert-Uphoff, "A
Study of Causal Links Between the Arctic and the Midlatitude
Jet-Streams", Proceedings of the Seventh International Workshop
on Climate Informatics (CI 2017), NCAR Technical Note
NCAR/TN-536+PROC, Sept 2017. Get PDF here.
I. Ebert-Uphoff, D.R. Thompson, I. Demir, Y.R. Gel, M.C. Hill,
A. Karpatne, M. Guereque, V. Kumar, E. Cabral-Cano, P. Smyth,
"A Vision for the Development of Benchmarks to Bridge
Geoscience and Data Science", Proceedings of the Seventh
International Workshop on Climate Informatics (CI 2017), NCAR
Technical Note NCAR/TN-536+PROC, Sept 2017. Get PDF
here.
S. Samarasinghe, Y. Deng and I.
Ebert-Uphoff, "Structure Learning in Spectral Space with
Applications in Climate Science", Workshop
on Mining Big Data in Climate and Environment (MBDCE 2017),
17th SIAM International Conference on Data Mining (SDM 2017),
April 27 - 29, 2017, Houston, Texas, USA, 5 pages, 2017.
Get
PDF here.
Anuj Karpatne, Hassan Ali Babaie, Sai
Ravela, Vipin Kumar, Imme Ebert-Uphoff, "Machine Learning for
the Geosciences - Opportunities, Challenges, and Implications
for the ML process", Workshop
on Mining Big Data in Climate and Environment (MBDCE 2017),
17th SIAM International Conference on Data Mining (SDM 2017),
April 27 - 29, 2017, Houston, Texas, USA, 10 pages,
2017. Get
PDF here.
I. Ebert-Uphoff and Y. Gil, "Exploring
Synergies between Machine Learning and Knowledge
Representation to Capture Scientific Knowledge", First
International Workshop on Capturing Scientific Knowledge,
Eighth International Conference on Knowledge Capture (K-CAP),
9 pages, Palisades, NY, Oct 2015. Get PDF here.
I. Ebert-Uphoff, Y. Deng, "Causal
Discovery from Spatio-Temporal Data with Applications to
Climate Science", 13th International Conference on Machine
Learning and Applications (ICMLA'14), Detroit, MI, USA, Dec
3-6, 2014, 8 pages. Get PDF
here.
S. Wolff, I. Ebert-Uphoff, “Preliminary
Results on Generating Assembly Sequences for Shape Display”,
Proceedings of the ASME International 26th Computers and
Information in Engineering Conference (CIE), Philadelphia, PA,
Sept 10-13, 2006, paper number DETC2006-99233.
P. Bosscher, I. Ebert-Uphoff,
“Disturbance Robustness Mesasures for Underconstrained
Cable-Driven Robots”, 2006 IEEE International Conference on
Robotics and Automation, Orlando, FL, May 15-19, 2006, pp.
4205-4212.
I. Ebert-Uphoff, P.A. Voglewede, “On the
Connections between Cable-Driven Robots, Parallel Manipulators
and Grasping”, 2004 IEEE International Conference on Robotics
and Automation, Vol. 5, pp. 4521-4526, New Orleans, LA, April
26 - May 1, 2004.
P.A. Voglewede, I. Ebert-Uphoff,
“Measuring ”Closeness” to Singularities for Parallel
Manipulators”, 2004 IEEE International Conference on Robotics
and Automation, Vol. 5, pp. 4539-4544, New Orleans, LA, April
26 - May 1, 2004.
P. Bosscher, I. Ebert-Uphoff, “A
Stability Measure for Underconstrained Cable-Driven Robots”,
2004 IEEE International Conference on Robotics and Automation,
Vol. 5, pp. 4943-4949, New Orleans, LA, April 26 - May 1,
2004.
P. Bosscher, I. Ebert-Uphoff,
“Wrench-Based Analysis of Cable-Driven Robots”, 2004 IEEE
Interna- tional Conference on Robotics and Automation, Vol. 5,
pp. 4950-4955, New Orleans, LA, April 26 - May 1, 2004.
A.T. Riechel, I. Ebert-Uphoff,
“Force-Feasible Workspace Analysis for Underconstrained,
Point-Mass Cable Robots”, 2004 IEEE International Conference
on Robotics and Automation, Vol. 5, pp. 4956- 4962, New
Orleans, LA, April 26 - May 1, 2004.
P. Bosscher, I. Ebert-Uphoff, “Digital
Clay: Architecture Designs for Shape-Generating Mechanisms”,
2003 IEEE International Conference on Robotics and Automation,
vol. 1, 2003, pp. 834-841.
P. Bosscher, I. Ebert-Uphoff, “A Novel
Mechanism for Implementing Multiple Collocated Spherical
Joints”, 2003 IEEE International Conference on Robotics and
Automation, vol. 1, 2003, pp. 336-341.
K. Kozak, I. Ebert-Uphoff, P.A.
Volgewede, W. Singhose, “Concept Paper: On the Significance of
the Lowest Natural Frequency of a Parallel Manipulator as a
Performance Measure for Concurrent Design”, Proceedings of the
Workshop on Fundamental Issues and Future Research Directions
for Parallel Mechanisms and Manipulators, Qu ́ebec City, QC,
Canada, Oct 2002, pp. 112-118.
K. Kozak, I. Ebert-Uphoff, “Review of
the Role of Quasi-Coordinates for the Kinematic and Dynamic
Modeling of Parallel Manipulators”, Proceedings of the
Workshop on Fundamental Issues and Future Research Directions
for Parallel Mechanisms and Manipulators, Québec City, QC,
Canada, Oct 2002, pp. 328-338.
P.A. Voglewede, I. Ebert-Uphoff, “Two
Viewpoints on the Unconstrained Motion of Parallel
Manipulators at or near Singular Configurations”, IEEE
International Conference on Robotics and Automation,
Washington, D.C., pp. 503 - 510, May, 2002.
K. Kozak, I. Ebert-Uphoff, W. Singhose,
“Analysis of Varying Natural Frequencies and Damping Ratios of
a Sample Parallel Manipulator Throughout Its Workspace Using
Linearized Equations of Motion”, Symposium on Dynamics and
Vibration of Robotic Systems, Proceedings of the ASME Design
Engineering Technical Conferences, Pittsburgh, PA, Paper #
DETC2001/VIB-21529, Sept 2001.
V.K. Chan, I. Ebert-Uphoff,
“Investigation of the Deficiencies of Parallel Manipulators in
Singular Configurations Through the Jacobian Nullspace”, IEEE
International Conference on Robotics and Automation, vol. 2,
pp. 1313 - 1320, Seoul, Korea, May 2001.
M. Decker, A. Dang, I. Ebert-Uphoff,
“Motion Planning for Active Acceleration Compensation”, IEEE
International Conference on Robotics and Automation, vol. 2,
pp. 1257 - 1264, Seoul, Korea, May 2001.
K. Johnson, I. Ebert-Uphoff,
”Development of a Spatial Statically-Balanced Parallel
Platform Mechanism”, Proceedings of the Year 2000 Parallel
Kinematic Machines International Conference and Second
European-American PKM Forum, Ann Arbor, MI, pp. 143-159, Sept
2000.
B. Geving, I. Ebert-Uphoff,
”Development of Technology to Support the Construction of
Robotic Mechanisms in SLA Machines”. Part of a “Special
Session on Rapid Prototyping of Mechanisms and Robotic
Systems” at the 26th ASME Biennial Mechanisms Conference,
Paper Number DETC00/MECH-14207, Baltimore, MD, Sept 2000.
B. Geving, A. Kataria, C. Moore, I.
Ebert-Uphoff, T. Kurfess, D. Rosen, “Conceptual Design of a
Generalized Stereolithography Machine”, ‘2000 Japan-USA
Symposium on Flexible Automation’, paper # 2000JUSFA-13172,
Ann Arbor, MI, July 23-26, 2000.
C.M. Gosselin, J. Wang, T. Laliberté,
I. Ebert-Uphoff, “On the Design of a Statically Balanced 6-
DOF Parallel Manipulator”, the Tenth World Congress on the
Theory of Machines and Mechanisms, Oulu, Finland, pp.
1045-1050, June 1999.
I. Ebert-Uphoff, C.M. Gosselin,
“Dynamic Modeling of a Class of Spatial Statically-Balanced
Parallel Platform Mechanisms”, 1999 IEEE International
Conference on Robotics and Automation, vol. 2, pp. 881–888,
Detroit, MI, May 1999.
I. Ebert-Uphoff, C.M. Gosselin, and T.
Laliberté, “Static Balancing of a Class of Spatial Parallel
Platform Mechanisms”, 1998 ASME Design Engineering Technical
Conferences, DETC/MECH-5964, Atlanta, GA, Sept 1998.
I. Ebert-Uphoff, C.M. Gosselin,
“Kinematic Study of a new Type of Spatial Parallel Platform
Mechanism”, 1998 ASME Design Engineering Technical
Conferences, DETC/MECH-5962, Atlanta, GA, Sept 1998.
G. Chirikjian and I. Ebert-Uphoff,
“Discretely Actuated Manipulator Workspace Generation Using
Numerical Convolution on the Euclidean Group”, vol. 1, pp.
742-749, IEEE Conference on Robotics and Automation, Leuven,
Belgium, May 1998.
I. Ebert-Uphoff and G. Chirikjian,
“Discretely Actuated Manipulator Workspace Generation by
Closed-Form Convolution”, ASME Mechanisms Conference,
96-DETC/MECH-1162, Irvine, CA, Au- gust 1996.
I. Ebert-Uphoff and G. Chirikjian,
“Inverse Kinematics of Discretely Actuated Hyper- Redundant
Manipulators Using Workspace Densities”, IEEE Conference on
Robotics and Automation, pp. 139-145, Minneapolis, Minnesota,
April 1996.
I. Ebert-Uphoff and G. Chirikjian,
“Generation of Binary Manipulator Workspaces and Work
Envelopes”, Proceedings of the Third IASTED International
Conference on Robotics and Manufacturing, pp. 14-20, Cancun,
Mexico, June 1995.
Non-Refereed Conference Publications and Presentations (only
abstracts reviewed)
Ryan Lagerquist, J. Stewart, C. Kumler, and I. Ebert-Uphoff,
Deep Learning for Short-Term Forecasting of Convective
Initiation and Decay over Taiwan, AMS 101st Annual Meeting, 20th
Conference on Artificial Intelligence for Environmental Science,
Jan 10-15, 2021.
Ryan Lagerquist, D. D. Turner, I. Ebert-Uphoff, V. Hagerty, C.
Kumler, and J. Stewart, Deep Learning for Parameterization of
Shortwave Radiative Transfer, AMS 101st Annual Meeting, 20th
Conference on Artificial Intelligence for Environmental Science,
Jan 10-15, 2021.
Lander Ver Hoef, Y. Lee, H. Adams, E. King, and I.
Ebert-Uphoff, Topological Data Analysis for Identifying
Convection in GOES-R Imagery, AMS 101st Annual Meeting, 20th
Conference on Artificial Intelligence for Environmental Science,
Jan 10-15, 2021.
Jason Stock, J. Dandy, I. Ebert-Uphoff, C. Anderson, J.
Dostalek, L. Grasso, J. Zeitler, and H. Weinman, Using Machine
Learning to Improve Vertical Profiles of Temperature and
Moisture for Severe Weather Nowcasting, AMS 101st Annual
Meeting, 20th Conference on Artificial Intelligence for
Environmental Science, Jan 10-15, 2021.
Christian Kummerow, Imme Ebert-Uphoff. Satellite Precipitation
Algorithms and AI, AGU Fall Meeting, Dec 7-11, 2020.
Savini M. Samarasinghe, Elizabeth A. Barnes, Charlotte
Connolly, Imme Ebert-Uphoff, Lantao Sun. Strengthening
Causal Connections Between the MJO and the North Atlantic in
Future Climate Projections, AGU Fall Meeting, Dec 7-11, 2020.
Elizabeth A. Barnes, Kirsten J. Mayer, Jamin Rader, Benjamin
A. Toms, Imme Ebert-Uphoff, "Leveraging Interpretable Neural
Networks for Scientific Discovery", AGU Fall Meeting, Dec 7-11,
2020.
Ebert-Uphoff, I., Hilburn, K., Toms, B. A., & Barnes, E.
A. Selected Methods from Explainable AI to Improve
Understanding of Neural Network Reasoning for Environmental
Science Applications. In 100th American Meteorological Society
Annual Meeting. AMS, Jan 2020. (Abstract
and recording of oral presentation)
Barnes, E. A., Ebert-Uphoff, I., Hurrell, J., Anderson, C. W.,
& Anderson, D. Viewing Climate Signals through an AI Lens
(Core Science Keynote). In 100th American Meteorological Society
Annual Meeting. AMS, Jan 2020. (Abstract
and recording of oral presentation.)
McGovern, Amy, Jason Hickey, David Hall, Imme Ebert-Uphoff,
Christopher Thorncroft, John Williams, Robert J. Trapp, Ruoying
He, and Carla Bromberg. "AI2ES: Alpha-Institute: Artificial
Intelligence for Environmental Sciences." In 100th American
Meteorological Society Annual Meeting. AMS, Jan. 2020. (Abstract
and recording of oral presentation)
Toms, B. A., Barnes, E. A., & Ebert-Uphoff, I. Using
Physically Interpretable Neural Networks to Discover Modes of
Climate and Weather Variability. In 100th American
Meteorological Society Annual Meeting. AMS, Jan 2020. (Abstract
and recording of oral presentation.)
Ebert-Uphoff, I., Hilburn, K. A., Toms, B. A., & Barnes,
E. A. (2019). Opening the "Black Box": Tools to Improve
Understanding of Neural Network Reasoning for Geoscience
Applications. Poster presentation, AGU Fall meeting, Dec 2019,
Poster A51U-2666. (Abstract)
Samarasinghe, S. M., Barnes, E. A., Ebert-Uphoff, I., &
Sun, L. (2019). Using Causal Discovery Methods to Explore
Subseasonal Teleconnections in a Changing Climate. Poster
presentation, AGU Fall Meeting, Dec 2019, Poster A51U-2670. (Abstract)
D.D. Pennington, I. Ebert-Uphoff, N. Freed, J. Martin, and
S.A. Pierce, "Interdisciplinary Earth Data Science Education",
Oral presentation, AGU Fall meeting, Washington, D.C., Dec 14,
2018. Get
abstract.
Y. Deng, I. Ebert-Uphoff,
"Characterizing Sub-Seasonal Coupling between Surface
Temperature and Top-of-Atmosphere Radiative Imbalance through
Graphs of 3D Information Flow", Poster presentation,
29th Conference on Climate Variability and Change, San
Francisco, CA, Jan 2017.
I. Ebert-Uphoff, D. Hammerling, S.
Samarasinghe, A. Baker, "Applying Causal Discovery to the
Output of Climate Models - What Can We Learn from the Causal
Signatures?" Oral presentation, AGU Fall meeting, San
Francisco, CA, Dec 14-18, 2015.
Y. Deng, I. Ebert-Uphoff,
"Characterizing and Understanding Large-Scale Wave Propagation
in the Atmosphere through Graphs of 3D Information
Flow". Poster presentation, AGU Fall meeting, San
Francisco, CA, Dec 14-18, 2015.
Christian Rodriguez, Imme Ebert-Uphoff,
Yi Deng, "Using causal discovery to study connections between
TOA radiative flux and surface temperature". Poster
presentation, The Fifth International Workshop on Climate
Informatics (CI2015), NCAR, Boulder, CO, Sept 24-25,
2015. Get PDF
here.
Dorit Hammerling, Allison H. Baker,
Imme Ebert-Uphoff, "What can we learn about climate model runs
from the causal signatures?" Poster presentation, The
Fifth International Workshop on Climate Informatics (CI2015),
NCAR, Boulder, CO, Sept 24-25, 2015. Get PDF here.
Charles Anderson, Imme Ebert-Uphoff, Yi
Deng, Melinda Ryan, "Discovering spatial and temporal patterns
in climate data using deep learning". Poster presentation, The
Fifth International Workshop on Climate Informatics (CI2015),
NCAR, Boulder, CO, Sept 24-25, 2015. Get PDF here.
I. Ebert-Uphoff, Y. Deng, "Using Causal
Discovery to Learn about our Planet's Climate - Recent
Progress", The Fourth International Workshop on Climate
Informatics (CI2014), NCAR, Boulder, CO, September 25 - 26,
2014, 2 pages. Get
PDF here.
I. Ebert-Uphoff, Y. Deng, "Causal
Discovery in Climate Science Using Graphical Models", The
Third International Workshop on Climate Informatics (CI2013),
NCAR, Boulder, CO, September 26 - 27, 2013, 3 pages. Get
PDF here.
A.T. Riechel, P. Bosscher, H. Lipkin,
I. Ebert-Uphoff, “Concept Paper: Cable-Driven Robots for Use
in Hazardous Environments”, 10th International Conference on
Robotics & Remote Systems for Hazardous Environments,
Florida, March 2004.
Jarek Rossignac, Mark Allen, Wayne J.
Book, Ari Glezer, Imme Ebert-Uphoff, Chris Shaw, David 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 Surface”,
Proceedings of the Shape Modeling International Conference,
Seoul, Korea, May 12-16, 2003.
I. Ebert-Uphoff, J.-K. Lee, H. Lipkin,
“Characteristic Tetrahedron of Wrench Singularities for
Parallel Manipulators with Three Legs”, presented at Ball 2000
Symposium, Cambridge, GB, July 2000.
Refereed Conference Videos
I. Ebert-Uphoff, A.X.H. Dang, R.W. Bush, “The Theoretical and
Experimental Development of an Active Acceleration Compensation
Platform for the Transport of Delicate Objects”, Video Proceedings
of the 2004 IEEE International Conference on Robotics and
Automation, New Orleans, LA, April 26 - May 1, 2004.
Patents
United States Letters Patent No. 6,836,736 (issued Dec 28, 2004).
Inventors: Mark Allen, Wayne Book, Imme Ebert-Uphoff, Ari Glezer,
David Rosen, Joroslaw Rossignac. Title: “Digital Clay Apparatus
and Method”.
Technical Reports
(additional preprints listed within categories above)
J. Golmohammadi, I. Ebert-Uphoff, S.
He, Y. Deng, A. Banerjee, "High-Dimensional Dependency
Structure Learning for Physical Processes",
arXiv:1709.03891 [cs.LG], Sept 12, 2017. Get pdf here.
I. Ebert-Uphoff, Y. Deng, "Using Causal
Discovery to Track Information Flow in Spatio-Temporal Data -
A Testbed and Experimental Results Using Advection-Diffusion
Simulations", Dec 27, 2015, arXiv:1512.08279 [cs.LG].Get PDF here.
I. Ebert-Uphoff, Y. Deng, "High
efficiency implementation of PC and PC stable algorithms
yields three-dimensional graphs of information flow for the
Earth' atmosphere", Technical Report, Colorado State
University, Department of Electrical and Computer Engineering,
CSU-ECE-2014-1, September 3, 2014. Available at
http://hdl.handle.net/10217/83709. Get PDF here.
I. Ebert-Uphoff, Y. Deng, “Causal
Discovery Methods for Climate Networks”, Technical Report,
Georgia Institute of Technology, School of Mechanical
Engineering, GT-ME-2010-001, December 2010. Get PDF
here.
I. Ebert-Uphoff, “A Probability-Based
Approach to Soft Discretization for Bayesian Networks”,
Technical Report, Georgia Institute of Technology, School of
Mechanical Engineering, GT-ME-2009-002, September 2009. Get PDF
here.
I. Ebert-Uphoff, “Tutorial on How to
Measure Link Strengths in Discrete Bayesian Networks”,
Technical Report, Georgia Institute of Technology, School of
Mechanical Engineering, GT-ME-2009-001, September 2009. Get PDF
here.
Sebastien J. Wolff, Imme Ebert-Uphoff,
Harvey Lipkin, “Statically Stable Assembly Sequence Generation
for Many Identical Assembly Blocks”, Technical Report, Georgia
Institute of Technology, College of Computing, GIT-IC-07-06,
October 2007.
I. Ebert-Uphoff, “Measuring Connection
Strengths and Link Strengths in Discrete Bayesian Networks”,
Technical Report, Georgia Institute of Technology, College of
Computing, GT-IIC-07-01, January 2007. Get PDF
here.