Amplitude-Position Formulation of Data Assimilation. - Sai Ravela (International Conference on Computational Science (3), 2006)

Two Extensions of Data Assimilation by Field Alignment. - Sai Ravela (International Conference on Computational Science (1), 2007)

A Realtime Observatory for Laboratory Simulation of Planetary Circulation. - Sai Ravela; John Marshall; Christopher Hill; Andrew Wong; Scott Stransky (International Conference on Computational Science (1), 2007)

Tracking rotating fluids in realtime using snapshots. - Sai Ravela; John Marshall; Christopher Hill; Andrew Wong; Scott Stransky (CVPR, 2008)

Model-based monitoring for early warning flood detection. - Elizabeth A. Basha; Sai Ravela; Daniela Rus (SenSys, 2008)

Deformation invariant image matching by spectrally controlled diffeomorphic alignment. - Christopher M. Yang; Sai Ravela (ICCV, 2009)

Vision-Based Biometrics for Conservation. - Sai Ravela; James Duyck; Chelsea Finn (MCPR, 2013)

On a quadratic information measure for data assimilation. - Piyush Tagade; Sai Ravela (ACC, 2014)

Statistical Inference for Coherent Fluids. - Sai Ravela (DyDESS, 2014)

Ensemble Learning in Non-Gaussian Data Assimilation. - Hansjörg Seybold; Sai Ravela; Piyush Tagade (DyDESS, 2014)

Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems. - Piyush Tagade; Hansjörg Seybold; Sai Ravela (ICCS, 2014)

Relevance Feedback in Biometric Retrieval of Animal Photographs. - Chelsea Finn; James Duyck; Andy Hutcheon; Pablo Vera; Joaquín Salas; Sai Ravela (MCPR, 2014)

Spatial inference for coherent geophysical fluids by appearance and geometry. - Sai Ravela (WACV, 2014)

Dynamic Data-driven Deformable Reduced Models for Coherent Fluids1. - Sai Ravela (ICCS, 2015)

Sloop: A pattern retrieval engine for individual animal identification. - James Duyck; Chelsea Finn; Andy Hutcheon; Pablo Vera; Joaquín Salas; Sai Ravela (Pattern Recognit., 2015)

DDDAS: The Way Forward. - Erik Blasch; Sai Ravela; Alex Aved (Handbook of Dynamic Data Driven Applications Systems, 2018)

Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping. - Sai Ravela (Handbook of Dynamic Data Driven Applications Systems, 2018)

Intelligent systems for geosciences: an essential research agenda. - Yolanda Gil; Suzanne A. Pierce; Hassan A. Babaie; Arindam Banerjee 001; Kirk D. Borne; Gary S. Bust; Michelle Cheatham; Imme Ebert-Uphoff; Carla P. Gomes; Mary C. Hill; John D. Horel; Leslie Hsu; et al. (Commun. ACM, 2019)

Neural Integration of Continuous Dynamics. - Margaret Trautner; Sai Ravela (CoRR, 2019)

On Neural Learnability of Chaotic Dynamics. - Ziwei Li; Sai Ravela (CoRR, 2019)

Machine Learning for the Geosciences: Challenges and Opportunities. - Anuj Karpatne; Imme Ebert-Uphoff; Sai Ravela; Hassan Ali Babaie; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2019)

Informative Ensemble Kalman Learning for Neural Structure. - Margaret Trautner; Gabriel B. Margolis; Sai Ravela (DDDAS, 2020)

The Sloop System for Individual Animal Identification with Deep Learning. - Kshitij Bakliwal; Sai Ravela (CoRR, 2020)

Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics. - Ankit Goel; Abdulazeez Mohammed Salim; Ahmad Ansari; Sai Ravela; Dennis S. Bernstein (CoRR, 2020)

Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling. - Nishant Yadav; Sai Ravela; Auroop R. Ganguly (CoRR, 2020)

Informative Neural Ensemble Kalman Learning. - Margaret Trautner; Gabriel B. Margolis; Sai Ravela (CoRR, 2020)

Experimental Implementation of an Adaptive Digital Autopilot. - Ankit Goel; Juan Augusto Paredes; Harshil Dadhaniya; Syed Aseem Ul Islam; Abdulazeez Mohammed Salim; Sai Ravela; Dennis S. Bernstein (ACC, 2021)

Learn Like The Pro: Norms from Theory to Size Neural Computation. - Margaret Trautner; Ziwei Li; Sai Ravela (CoRR, 2021)

An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults. - Joonghyun Lee; John Spencer; Juan Augusto Paredes; Sai Ravela; Dennis S. Bernstein; Ankit Goel (CoRR, 2021)

Dynamic Data-Driven Downscaling to Quantify Extreme Rainfall and Flood Loss Risk. - Anamitra Saha; Joaquín Salas; Sai Ravela (DDDAS, 2022)

Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning. - Anamitra Saha; Sai Ravela (CoRR, 2022)

Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data. - Joaquín Salas; Anamitra Saha; Sai Ravela (CoRR, 2022)

A Stochastic Compound Failure Model for Testing Resilience of Autonomous Fixed-Wing Aircraft I: Formulation and Simulation. - Thelonious Cooper; Sai Ravela (CoRR, 2023)

Multirotor Ensemble Model Predictive Control I: Simulation Experiments. - Erina Yamaguchi; Sai Ravela (CoRR, 2023)

Neural Networks as Geometric Chaotic Maps. - Ziwei Li; Sai Ravela (IEEE Trans. Neural Networks Learn. Syst., 2023)

LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes. - Grace Jiang; Jiangchao Qiu; Sai Ravela (CoRR, 2025)