2026
![[Tiny Paper] Toward Pixel-Grounded World Models for Powered Descent: A Rocket Landing Benchmark and Expert Baseline](/people/alabella/assets/images/covers/2026-rocket-landing-fig1.jpg)
[Tiny Paper] Toward Pixel-Grounded World Models for Powered Descent: A Rocket Landing Benchmark and Expert Baseline
Charles Duong, Aviral Vaidya, Aditya Iyer, Lucas Maes, Aidan LaBella, Randall Balestriero
ICLR 2026 Workshop on World Models: Understanding, Modelling and Scaling 2026
Introduces RocketLanding, a powered-descent benchmark for studying pixel-grounded world models under realistic actuation and touchdown constraints, with an analytical expert baseline for offline trajectory generation.
[Tiny Paper] Toward Pixel-Grounded World Models for Powered Descent: A Rocket Landing Benchmark and Expert Baseline
Charles Duong, Aviral Vaidya, Aditya Iyer, Lucas Maes, Aidan LaBella, Randall Balestriero
ICLR 2026 Workshop on World Models: Understanding, Modelling and Scaling 2026
Introduces RocketLanding, a powered-descent benchmark for studying pixel-grounded world models under realistic actuation and touchdown constraints, with an analytical expert baseline for offline trajectory generation.
2025
GATS: A Time-Series Dataset for Addressing General Aviation Flight Safety
Aidan LaBella, Charles Duong, Pak Iong Long, Nathan DePiero, Aditya Iyer, Elise Carman, Randall Balestriero, Travis Desell
1st ICML Workshop on Foundation Models for Structured Data 2026
Releases GATS, a time-series dataset of general aviation flights from the NGAFID, and benchmarks aircraft classification and missing-data reconstruction tasks for aviation safety research.
GATS: A Time-Series Dataset for Addressing General Aviation Flight Safety
Aidan LaBella, Charles Duong, Pak Iong Long, Nathan DePiero, Aditya Iyer, Elise Carman, Randall Balestriero, Travis Desell
1st ICML Workshop on Foundation Models for Structured Data 2026
Releases GATS, a time-series dataset of general aviation flights from the NGAFID, and benchmarks aircraft classification and missing-data reconstruction tasks for aviation safety research.
2022
Predictive Maintenance for General Aviation Using Convolutional Transformers
Hong Yang, Aidan LaBella, Travis Desell
Proceedings of the AAAI Conference on Artificial Intelligence 2022
Introduces the NGAFID Maintenance Classification dataset and a convolutional multi-headed self-attention model for classifying multivariate flight time series for predictive aircraft maintenance.
Predictive Maintenance for General Aviation Using Convolutional Transformers
Hong Yang, Aidan LaBella, Travis Desell
Proceedings of the AAAI Conference on Artificial Intelligence 2022
Introduces the NGAFID Maintenance Classification dataset and a convolutional multi-headed self-attention model for classifying multivariate flight time series for predictive aircraft maintenance.
Optimized Flight Safety Event Detection in the National General Aviation Flight Information Database
Aidan LaBella, Joshua A Karns, Farhad Akhbardeh, Travis Desell, Andrew J Walton, Zechariah Morgan, Brandon Wild, Mark Dusenbury
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing 2022
Redesigns NGAFID flight data ingestion and safety-event computation, substantially reducing processing cost while adding advanced event calculations for proximity, glide path deviation, stall, and loss of control.
Optimized Flight Safety Event Detection in the National General Aviation Flight Information Database
Aidan LaBella, Joshua A Karns, Farhad Akhbardeh, Travis Desell, Andrew J Walton, Zechariah Morgan, Brandon Wild, Mark Dusenbury
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing 2022
Redesigns NGAFID flight data ingestion and safety-event computation, substantially reducing processing cost while adding advanced event calculations for proximity, glide path deviation, stall, and loss of control.