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ORCIDShahrouz Ryan Alimo
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2020 – today
- 2022
[j6]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: 41330-41340 (2022)- [j5]Dounia Lakhmiri, Ryan Alimo, Sébastien Le Digabel:
Anomaly detection for data accountability of Mars telemetry data. Expert Syst. Appl. 189: 116060 (2022) - [c8]Lorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo:
MaRF: Representing Mars as Neural Radiance Fields. ECCV Workshops (1) 2022: 53-65 - [c7]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: 4915-4918 - [i7]Lorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo:
MaRF: Representing Mars as Neural Radiance Fields. CoRR abs/2212.01672 (2022) - 2021
- [j4]Alex Sabol, Ryan Alimo, Farhad Kamangar, Ramtin Madani:
Deep Space Network Scheduling via Mixed-Integer Linear Programming. IEEE Access 9: 39985-39994 (2021) - [j3]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): 567-591 (2021) - [c6]Mohsen Kheirandishfard, Fariba Zohrizadeh, Shahrouz Ryan Alimo, Farhad Kamangar, Ramtin Madani:
Sequential Convex Programming Revisited. CDC 2021: 3137-3142 - [i6]Aryan Naim, Ryan Alimo, Jay Braun:
AI Agents in Emergency Response Applications. CoRR abs/2109.04646 (2021) - [i5]Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson:
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. CoRR abs/2111.11628 (2021) - 2020
- [j2]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): 1-31 (2020) - [j1]Ryan Alimo, Pooriya Beyhaghi, Thomas R. Bewley:
Delaunay-based derivative-free optimization via global surrogates. Part III: nonconvex constraints. J. Glob. Optim. 77(4): 743-776 (2020) - [c5]Antoni Viros i Martin, Daniel Selva, Ryan Alimo:
Scheduling Mission Reconfiguration for an Interferometry Synthetic Aperture Radar Using Deep Reinforcement Learning. IGARSS 2020: 6941-6944 - [i4]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 abs/2001.10673 (2020) - [i3]Dounia Lakhmiri, Ryan Alimo, Sébastien Le Digabel:
Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system. CoRR abs/2006.03962 (2020) - [i2]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 abs/2010.07935 (2020)
2010 – 2019
- 2019
- [c4]Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh:
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. ACC 2019: 1792-1799 - [c3]Muhan Zhao, Shahrouz Ryan Alimo, Pooriya Beyhaghi, Thomas R. Bewley:
Delaunay-based Derivative-free Optimization via Global Surrogates with Safe and Exact Function Evaluations. CDC 2019: 4636-4641 - [i1]Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh:
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. CoRR abs/1904.01068 (2019) - 2018
- [c2]Muhan Zhao, Shahrouz Ryan Alimo, Thomas R. Bewley:
An active subspace method for accelerating convergence in Delaunay-based optimization via dimension reduction. CDC 2018: 2765-2770 - 2017
- [b1]Shahrouz Ryan Alimo:
Efficient New Approaches for Data-Driven Global Optimization, with Applications in Computer-Aided Design. University of California, San Diego, USA, 2017 - [c1]Shahrouz Ryan Alimo, Pooriya Beyhaghi, Thomas R. Bewley:
Optimization combining derivative-free global exploration with derivative-based local refinement. CDC 2017: 2531-2538
Coauthor Index
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