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2020 – today
- 2023
[j4]Ziwei Li
, Sai Ravela:
Neural Networks as Geometric Chaotic Maps. IEEE Trans. Neural Networks Learn. Syst. 34(1): 527-533 (2023)- [i14]Thelonious Cooper, Sai Ravela:
A Stochastic Compound Failure Model for Testing Resilience of Autonomous Fixed-Wing Aircraft I: Formulation and Simulation. CoRR abs/2305.08262 (2023) - [i13]Erina Yamaguchi, Sai Ravela:
Multirotor Ensemble Model Predictive Control I: Simulation Experiments. CoRR abs/2305.12625 (2023) - 2022
- [c17]Anamitra Saha, Joaquín Salas, Sai Ravela:
Dynamic Data-Driven Downscaling to Quantify Extreme Rainfall and Flood Loss Risk. DDDAS 2022: 417-424 - [i12]Anamitra Saha, Sai Ravela:
Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning. CoRR abs/2212.01446 (2022) - [i11]Joaquín Salas, Anamitra Saha, Sai Ravela:
Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data. CoRR abs/2212.08660 (2022) - 2021
- [c16]Ankit Goel, Juan Augusto Paredes, Harshil Dadhaniya, Syed Aseem Ul Islam, Abdulazeez Mohammed Salim, Sai Ravela, Dennis S. Bernstein:
Experimental Implementation of an Adaptive Digital Autopilot. ACC 2021: 3737-3742 - [i10]Margaret Trautner, Ziwei Li, Sai Ravela:
Learn Like The Pro: Norms from Theory to Size Neural Computation. CoRR abs/2106.11409 (2021) - [i9]Joonghyun Lee, John Spencer, Juan Augusto Paredes, Sai Ravela, Dennis S. Bernstein, Ankit Goel:
An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults. CoRR abs/2110.11390 (2021) - 2020
- [c15]Margaret Trautner, Gabriel B. Margolis, Sai Ravela:
Informative Ensemble Kalman Learning for Neural Structure. DDDAS 2020: 191-199 - [e3]Frederica Darema, Erik Blasch, Sai Ravela, Alex Aved:
Dynamic Data Driven Applications Systems - Third International Conference, DDDAS 2020, Boston, MA, USA, October 2-4, 2020, Proceedings. Lecture Notes in Computer Science 12312, Springer 2020, ISBN 978-3-030-61724-0 [contents] - [i8]Kshitij Bakliwal, Sai Ravela:
The Sloop System for Individual Animal Identification with Deep Learning. CoRR abs/2003.00559 (2020) - [i7]Ankit Goel, Abdulazeez Mohammed Salim, Ahmad Ansari, Sai Ravela, Dennis S. Bernstein:
Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics. CoRR abs/2006.00416 (2020) - [i6]Nishant Yadav, Sai Ravela, Auroop R. Ganguly:
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling. CoRR abs/2008.05590 (2020) - [i5]Margaret Trautner, Gabriel B. Margolis, Sai Ravela:
Informative Neural Ensemble Kalman Learning. CoRR abs/2008.09915 (2020) - [i4]Ankit Goel, Juan Augusto Paredes, Harshil Dadhaniya, Syed Aseem Ul Islam, Abdulazeez Mohammed Salim, Sai Ravela, Dennis S. Bernstein:
Experimental Implementation of an Adaptive Digital Autopilot. CoRR abs/2012.02896 (2020)
2010 – 2019
- 2019
- [j3]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) - [j2]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) - [i3]Margaret Trautner, Sai Ravela:
Neural Integration of Continuous Dynamics. CoRR abs/1911.10309 (2019) - [i2]Ziwei Li, Sai Ravela:
On Neural Learnability of Chaotic Dynamics. CoRR abs/1912.05081 (2019) - 2018
- [p2]Sai Ravela:
Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping. Handbook of Dynamic Data Driven Applications Systems 2018: 29-46 - [p1]Erik Blasch, Sai Ravela, Alex Aved:
DDDAS: The Way Forward. Handbook of Dynamic Data Driven Applications Systems 2018: 723-731 - [e2]Erik Blasch, Sai Ravela, Alex Aved:
Handbook of Dynamic Data Driven Applications Systems. Springer 2018, ISBN 978-3-319-95503-2 [contents] - 2017
- [i1]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
- [j1]James Duyck, Chelsea Finn, Andy Hutcheon, Pablo Vera, Joaquín Salas, Sai Ravela:
Sloop: A pattern retrieval engine for individual animal identification. Pattern Recognit. 48(4): 1059-1073 (2015) - [c14]Sai Ravela:
Dynamic Data-driven Deformable Reduced Models for Coherent Fluids1. ICCS 2015: 2464-2473 - [e1]Sai Ravela, Adrian Sandu:
Dynamic Data-Driven Environmental Systems Science - First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8964, Springer 2015, ISBN 978-3-319-25137-0 [contents] - 2014
- [c13]Piyush Tagade, Sai Ravela:
On a quadratic information measure for data assimilation. ACC 2014: 598-603 - [c12]Sai Ravela:
Statistical Inference for Coherent Fluids. DyDESS 2014: 121-133 - [c11]Hansjörg Seybold, Sai Ravela, Piyush Tagade:
Ensemble Learning in Non-Gaussian Data Assimilation. DyDESS 2014: 227-238 - [c10]Piyush Tagade, Hansjörg Seybold, Sai Ravela:
Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems. ICCS 2014: 1266-1276 - [c9]Chelsea Finn, James Duyck, Andy Hutcheon, Pablo Vera, Joaquín Salas, Sai Ravela:
Relevance Feedback in Biometric Retrieval of Animal Photographs. MCPR 2014: 281-290 - [c8]Sai Ravela:
Spatial inference for coherent geophysical fluids by appearance and geometry. WACV 2014: 925-932 - 2013
- [c7]Sai Ravela, James Duyck, Chelsea Finn:
Vision-Based Biometrics for Conservation. MCPR 2013: 10-19
2000 – 2009
- 2009
- [c6]Christopher M. Yang, Sai Ravela:
Deformation invariant image matching by spectrally controlled diffeomorphic alignment. ICCV 2009: 1303-1310 - 2008
- [c5]Sai Ravela, John Marshall, Christopher Hill, Andrew Wong, Scott Stransky:
Tracking rotating fluids in realtime using snapshots. CVPR 2008 - [c4]Elizabeth A. Basha, Sai Ravela, Daniela Rus:
Model-based monitoring for early warning flood detection. SenSys 2008: 295-308 - 2007
- [c3]Sai Ravela:
Two Extensions of Data Assimilation by Field Alignment. International Conference on Computational Science (1) 2007: 1147-1154 - [c2]Sai Ravela, John Marshall, Christopher Hill, Andrew Wong, Scott Stransky:
A Realtime Observatory for Laboratory Simulation of Planetary Circulation. International Conference on Computational Science (1) 2007: 1155-1162 - 2006
- [c1]Sai Ravela:
Amplitude-Position Formulation of Data Assimilation. International Conference on Computational Science (3) 2006: 497-505
Coauthor Index
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