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Melissa Mozifian
Melissa Mozifian
PhD Candidate at McGill University & Mila
Verified email at mail.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Joint 3d proposal generation and object detection from view aggregation
J Ku, M Mozifian, J Lee, A Harakeh, SL Waslander
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
16172018
Sim2real in robotics and automation: Applications and challenges
S Höfer, K Bekris, A Handa, JC Gamboa, M Mozifian, F Golemo, ...
IEEE transactions on automation science and engineering 18 (2), 398-400, 2021
1092021
Deep Learning a Quadrotor Dynamic Model for Multi-Step Prediction
N Mohajerin, M Mozifian, S Waslander
IEEE International Conference on Robotics and Automation (ICRA), 2018
392018
Perspectives on sim2real transfer for robotics: A summary of the r: Ss 2020 workshop
S Höfer, K Bekris, A Handa, JC Gamboa, F Golemo, M Mozifian, ...
arXiv preprint arXiv:2012.03806, 2020
322020
Shaping rewards for reinforcement learning with imperfect demonstrations using generative models
Y Wu, M Mozifian, F Shkurti
2021 IEEE International Conference on Robotics and Automation (ICRA), 6628-6634, 2021
222021
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
M Mozifian, JCG Higuera, D Meger, G Dudek
IEEE International Conference on Intelligent Robots and Systems (IROS), 2019
20*2019
Intervention design for effective sim2real transfer
M Mozifian, A Zhang, J Pineau, D Meger
arXiv preprint arXiv:2012.02055, 2020
102020
Real-time 3D Object Detection for Autonomous Driving
M Mozifian
https://uwspace.uwaterloo.ca/handle/10012/13267, 2018
62018
Learning Successor Feature Representations to Train Robust Policies for Multi-task Learning
M Mozifian, D Fox, D Meger, F Ramos, A Garg
Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
12022
Learning domain randomization distributions for transfer learning
JCG HIGUERA, M MOZIFIAN, D MEGER, EA Abolfathi
US Patent 11,501,167, 2022
12022
Generalizing successor features to continuous domains for multi-task learning
M Mozifian, D Fox, D Meger, F Ramos, A Garg
12021
Cunascuriosity-driven neural-augmented simulator
SC Raparthy, M Mozifian, L Paull, F Golemo
2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics. RSS, 2020
12020
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
M Mozifian, T Sylvain, D Evans, L Meng
arXiv preprint arXiv:2305.18820, 2023
2023
Affective Mirror: Automated emotion detection through photoplethysmography & facial expression analysis
M Mozifian
https://info.cs.st-andrews.ac.uk/student-handbook/files/project-library/sh …, 2014
2014
Addressing Challenges in Reinforcement Learning for Recommender Systems with Conservative Objectives
M Mozifian, T Sylvain, RD Evans, L Meng
SPECIAL ISSUE ON ARTIFICIAL INTELLIGENCE IN AUTOMATION FOR HEALTHCARE APPLICATIONS
S Höfer, K Bekris, A Handa, JC Gamboa, M Mozifian, F Golemo, ...
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