Sai Ravela

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 20

Top Topics

Building Intelligent Systems

Data Assimilation

Ensemble Learning

Top Venues

Publications

Thelonious Cooper, Sai Ravela
A Stochastic Compound Failure Model for Testing Resilience of Autonomous Fixed-Wing Aircraft I: Formulation and Simulation. CoRR (2023)
Ziwei Li, Sai Ravela
Neural Networks as Geometric Chaotic Maps. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Erina Yamaguchi, Sai Ravela
Multirotor Ensemble Model Predictive Control I: Simulation Experiments. CoRR (2023)
Anamitra Saha, Sai Ravela
Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning. CoRR (2022)
Joaquín Salas, Anamitra Saha, Sai Ravela
Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data. CoRR (2022)
Anamitra Saha, Joaquín Salas, Sai Ravela
Dynamic Data-Driven Downscaling to Quantify Extreme Rainfall and Flood Loss Risk. DDDAS (2022)
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)
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 (2021)
Margaret Trautner, Ziwei Li, Sai Ravela
Learn Like The Pro: Norms from Theory to Size Neural Computation. CoRR (2021)
Kshitij Bakliwal, Sai Ravela
The Sloop System for Individual Animal Identification with Deep Learning. CoRR (2020)
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 (2020)
Margaret Trautner, Gabriel Margolis, Sai Ravela
Informative Ensemble Kalman Learning for Neural Structure. DDDAS (2020)
Ankit Goel, Abdulazeez Mohammed Salim, Ahmad Ansari, Sai Ravela, Dennis S. Bernstein
Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics. CoRR (2020)
Margaret Trautner, Gabriel Margolis, Sai Ravela
Informative Neural Ensemble Kalman Learning. CoRR (2020)
Nishant Yadav, Sai Ravela, Auroop R. Ganguly
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling. CoRR (2020)
Margaret Trautner, Sai Ravela
Neural Integration of Continuous Dynamics. CoRR (2019)
Ziwei Li, Sai Ravela
On Neural Learnability of Chaotic Dynamics. CoRR (2019)
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) (2019)
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 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) (2019)
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
Machine Learning for the Geosciences: Challenges and Opportunities. CoRR (2017)
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) (2015)
Sai Ravela
. ICCS (2015)
Piyush Tagade, Hansjörg Seybold, Sai Ravela
Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems. ICCS (2014)
Sai Ravela
Statistical Inference for Coherent Fluids. DyDESS (2014)
Piyush Tagade, Sai Ravela
On a quadratic information measure for data assimilation. ACC (2014)
Sai Ravela
Spatial inference for coherent geophysical fluids by appearance and geometry. WACV (2014)
Chelsea Finn, James Duyck, Andy Hutcheon, Pablo Vera, Joaquín Salas, Sai Ravela
Relevance Feedback in Biometric Retrieval of Animal Photographs. MCPR (2014)
Hansjörg Seybold, Sai Ravela, Piyush Tagade
Ensemble Learning in Non-Gaussian Data Assimilation. DyDESS (2014)
Sai Ravela, James Duyck, Chelsea Finn
Vision-Based Biometrics for Conservation. MCPR (2013)
Christopher M. Yang, Sai Ravela
Deformation invariant image matching by spectrally controlled diffeomorphic alignment. ICCV (2009)
Elizabeth A. Basha, Sai Ravela, Daniela Rus
Model-based monitoring for early warning flood detection. SenSys (2008)
Sai Ravela, John Marshall, Christopher Hill, Andrew Wong, Scott Stransky
Tracking rotating fluids in realtime using snapshots. CVPR (2008)
Sai Ravela
Two Extensions of Data Assimilation by Field Alignment. International Conference on Computational Science (1) (2007)
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)
Sai Ravela
Amplitude-Position Formulation of Data Assimilation. International Conference on Computational Science (3) (2006)