Sai Ravela

43 papers A* 2A 1C 2Misc 6Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ensemble-Conditional Gaussian Processes (Ens-CGP): Representation, Geometry, and Inference.
CoRR
Sai Ravela, Jae Deok Kim, Kenneth Gee, Xingjian Yan, Samson Mercier, Lubna Albarghouty, Anamitra Saha
2026 J jnl
Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data.
CoRR
Kenneth Gee, Sai Ravela
2025 J jnl
LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes.
CoRR
Grace Jiang, Jiangchao Qiu, Sai Ravela
2023 J jnl
A Stochastic Compound Failure Model for Testing Resilience of Autonomous Fixed-Wing Aircraft I: Formulation and Simulation.
CoRR
Thelonious Cooper, Sai Ravela
2023 J jnl
Multirotor Ensemble Model Predictive Control I: Simulation Experiments.
CoRR
Erina Yamaguchi, Sai Ravela
2023 J jnl
Neural Networks as Geometric Chaotic Maps.
IEEE Trans. Neural Networks Learn. Syst.
Ziwei Li, Sai Ravela
2022 J jnl
Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning.
CoRR
Anamitra Saha, Sai Ravela
2022 — conf
Dynamic Data-Driven Downscaling to Quantify Extreme Rainfall and Flood Loss Risk.
DDDAS
Anamitra Saha, Joaquín Salas, Sai Ravela
2022 J jnl
Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data.
CoRR
Joaquín Salas, Anamitra Saha, Sai Ravela
2021 J jnl
An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults.
CoRR
Joonghyun Lee, John Spencer, Juan Augusto Paredes, Sai Ravela, Dennis S. Bernstein, Ankit Goel
2021 C conf
Experimental Implementation of an Adaptive Digital Autopilot.
ACC
Ankit Goel, Juan Augusto Paredes, Harshil Dadhaniya, Syed Aseem Ul Islam, Abdulazeez Mohammed Salim, Sai Ravela, Dennis S. Bernstein
2021 J jnl
Learn Like The Pro: Norms from Theory to Size Neural Computation.
CoRR
Margaret Trautner, Ziwei Li, Sai Ravela
2020 J jnl
Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics.
CoRR
Ankit Goel, Abdulazeez Mohammed Salim, Ahmad Ansari, Sai Ravela, Dennis S. Bernstein
2020 — ed.
Dynamic Data Driven Applications Systems - Third International Conference, DDDAS 2020, Boston, MA, USA, October 2-4, 2020, Proceedings
DDDAS
Frederica Darema, Erik Blasch, Sai Ravela, Alex Aved
2020 J jnl
Experimental Implementation of an Adaptive Digital Autopilot.
CoRR
Ankit Goel, Juan Augusto Paredes, Harshil Dadhaniya, Syed Aseem Ul Islam, Abdulazeez Mohammed Salim, Sai Ravela, Dennis S. Bernstein
2020 — conf
Informative Ensemble Kalman Learning for Neural Structure.
DDDAS
Margaret Trautner, Gabriel B. Margolis, Sai Ravela
2020 J jnl
Informative Neural Ensemble Kalman Learning.
CoRR
Margaret Trautner, Gabriel B. Margolis, Sai Ravela
2020 J jnl
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling.
CoRR
Nishant Yadav, Sai Ravela, Auroop R. Ganguly
2020 J jnl
The Sloop System for Individual Animal Identification with Deep Learning.
CoRR
Kshitij Bakliwal, Sai Ravela
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
Neural Integration of Continuous Dynamics.
CoRR
Margaret Trautner, Sai Ravela
2019 J jnl
On Neural Learnability of Chaotic Dynamics.
CoRR
Ziwei Li, Sai Ravela
2018 — ch.
DDDAS: The Way Forward.
Handbook of Dynamic Data Driven Applications Systems
Erik Blasch, Sai Ravela, Alex Aved
2018 — book
Handbook of Dynamic Data Driven Applications Systems.
Erik Blasch, Sai Ravela, Alex Aved
2018 — ch.
Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping.
Handbook of Dynamic Data Driven Applications Systems
Sai Ravela
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 — ed.
Dynamic Data-Driven Environmental Systems Science - First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers
DyDESS
Sai Ravela, Adrian Sandu
2015 Misc conf
Dynamic Data-driven Deformable Reduced Models for Coherent Fluids
ICCS
Sai Ravela
2015 J jnl
Sloop: A pattern retrieval engine for individual animal identification.
Pattern Recognit.
James Duyck, Chelsea Finn, Andy Hutcheon, Pablo Vera, Joaquín Salas, Sai Ravela
2014 — conf
Ensemble Learning in Non-Gaussian Data Assimilation.
DyDESS
Hansjörg Seybold, Sai Ravela, Piyush Tagade
2014 Misc conf
Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems.
ICCS
Piyush Tagade, Hansjörg Seybold, Sai Ravela
2014 C conf
On a quadratic information measure for data assimilation.
ACC
Piyush Tagade, Sai Ravela
2014 — conf
Relevance Feedback in Biometric Retrieval of Animal Photographs.
MCPR
Chelsea Finn, James Duyck, Andy Hutcheon, Pablo Vera, Joaquín Salas, Sai Ravela
2014 A conf
Spatial inference for coherent geophysical fluids by appearance and geometry.
WACV
Sai Ravela
2014 — conf
Statistical Inference for Coherent Fluids.
DyDESS
Sai Ravela
2013 — conf
Vision-Based Biometrics for Conservation.
MCPR
Sai Ravela, James Duyck, Chelsea Finn
2009 A* conf
Deformation invariant image matching by spectrally controlled diffeomorphic alignment.
ICCV
Christopher M. Yang, Sai Ravela
2008 Misc conf
Model-based monitoring for early warning flood detection.
SenSys
Elizabeth A. Basha, Sai Ravela, Daniela Rus
2008 A* conf
Tracking rotating fluids in realtime using snapshots.
CVPR
Sai Ravela, John Marshall, Christopher Hill, Andrew Wong, Scott Stransky
2007 Misc conf
A Realtime Observatory for Laboratory Simulation of Planetary Circulation.
International Conference on Computational Science (1)
Sai Ravela, John Marshall, Christopher Hill, Andrew Wong, Scott Stransky
2007 Misc conf
Two Extensions of Data Assimilation by Field Alignment.
International Conference on Computational Science (1)
Sai Ravela
2006 Misc conf
Amplitude-Position Formulation of Data Assimilation.
International Conference on Computational Science (3)
Sai Ravela