Ryan Alimo

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 15

Top Topics

Mixed Integer Linear Programming

Scheduling Problem

Top Venues

J. Glob. Optim.

Publications

Brian Wilson, Edwin Goh, Alex Guillaume, Ryan Alimo, Thomas Claudet, Hamsa Shwetha Venkataram
Automating Antenna Scheduling Problems Using Quantum Computing and Deep Reinforcement Learning. IGARSS (2022)
Lorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo
MaRF: Representing Mars as Neural Radiance Fields. ECCV Workshops (1) (2022)
Lorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo
MaRF: Representing Mars as Neural Radiance Fields. CoRR (2022)
Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. IEEE Access 10 (2022)
Dounia Lakhmiri, Ryan Alimo, Sébastien Le Digabel
Anomaly detection for data accountability of Mars telemetry data. Expert Syst. Appl. 189 (2022)
Alex Sabol, Ryan Alimo, Farhad Kamangar, Ramtin Madani
Deep Space Network Scheduling via Mixed-Integer Linear Programming. IEEE Access 9 (2021)
Aryan Naim, Ryan Alimo, Jay Braun
AI Agents in Emergency Response Applications. CoRR (2021)
Ryan Alimo, Daniele Cavaglieri, Pooriya Beyhaghi, Thomas R. Bewley
Design of IMEXRK time integration schemes via Delaunay-based derivative-free optimization with nonconvex constraints and grid-based acceleration. J. Glob. Optim. 79 (3) (2021)
Thomas Claudet, Ryan Alimo, Edwin Goh, Mark Johnston, Ramtin Madani, Brian Wilson
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. CoRR (2021)
Dounia Lakhmiri, Ryan Alimo, Sébastien Le Digabel
Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system. CoRR (2020)
Shubham D. Sonawani, Ryan Alimo, Renaud Detry, Daniel Jeong, Andrew Hess, Heni Ben Amor
Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks. CoRR (2020)
Pooriya Beyhaghi, Ryan Alimo, Thomas Bewley
A derivative-free optimization algorithm for the efficient minimization of functions obtained via statistical averaging. Comput. Optim. Appl. 76 (1) (2020)
Ryan Alimo, Pooriya Beyhaghi, Thomas R. Bewley
Delaunay-based derivative-free optimization via global surrogates. Part III: nonconvex constraints. J. Glob. Optim. 77 (4) (2020)
Antoni Viros i Martin, Daniel Selva, Ryan Alimo
Scheduling Mission Reconfiguration for an Interferometry Synthetic Aperture Radar Using Deep Reinforcement Learning. IGARSS (2020)
Kyongsik Yun, Changrak Choi, Ryan Alimo, Anthony Davis, Linda Forster, Amir Rahmani, Muhammad Adil, Ramtin Madani
Multi-Agent Motion Planning using Deep Learning for Space Applications. CoRR (2020)