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Mariano Phielipp
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Cited by
Year
Goal-conditioned imitation learning
Y Ding, C Florensa, P Abbeel, M Phielipp
Advances in neural information processing systems 32, 2019
2282019
Language-conditioned imitation learning for robot manipulation tasks
S Stepputtis, J Campbell, M Phielipp, S Lee, C Baral, H Ben Amor
Advances in Neural Information Processing Systems 33, 13139-13150, 2020
1372020
Motion2vec: Semi-supervised representation learning from surgical videos
AK Tanwani, P Sermanet, A Yan, R Anand, M Phielipp, K Goldberg
2020 IEEE International Conference on Robotics and Automation (ICRA), 2174-2181, 2020
432020
Shrouds: Optimal separating surfaces for enumerated volumes
GM Nielson, G Graf, R Holmes, A Huang, M Phielipp
VisSym 3, 75-84, 2003
242003
Clone swarms: Learning to predict and control multi-robot systems by imitation
S Zhou, MJ Phielipp, JA Sefair, SI Walker, HB Amor
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
192019
Group selfies: a robust fragment-based molecular string representation
AH Cheng, A Cai, S Miret, G Malkomes, M Phielipp, A Aspuru-Guzik
Digital Discovery 2 (3), 748-758, 2023
182023
Anymorph: Learning transferable polices by inferring agent morphology
B Trabucco, M Phielipp, G Berseth
International Conference on Machine Learning, 21677-21691, 2022
172022
Hierarchical policy learning is sensitive to goal space design
Z Dwiel, M Candadai, M Phielipp, AK Bansal
arXiv preprint arXiv:1905.01537, 2019
152019
Instance-based generalization in reinforcement learning
M Bertran, N Martinez, M Phielipp, G Sapiro
Advances in Neural Information Processing Systems 33, 11333-11344, 2020
142020
User interface with software lensing for very long lists of content
RR Dunton, MJ Phielipp
US Patent 9,024,864, 2015
142015
Maximizing ensemble diversity in deep reinforcement learning
H Sheikh, M Phielipp, L Boloni
International Conference on Learning Representations, 2021
132021
Method of determining profiles for widget channel viewers
MJ Phielipp
US Patent 8,635,638, 2014
132014
Modularity through attention: Efficient training and transfer of language-conditioned policies for robot manipulation
Y Zhou, S Sonawani, M Phielipp, S Stepputtis, HB Amor
arXiv preprint arXiv:2212.04573, 2022
122022
Learning intrinsic symbolic rewards in reinforcement learning
HU Sheikh, S Khadka, S Miret, S Majumdar, M Phielipp
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
122022
Dialogue system with audio watermark
MJ Phielipp
US Patent 9,818,414, 2017
112017
Pretraining graph neural networks for few-shot analog circuit modeling and design
K Hakhamaneshi, M Nassar, M Phielipp, P Abbeel, V Stojanovic
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022
102022
Analytically directed data collection in sensor network
RL Vaughn, SS Cheema, MD Savoy, MJ Phielipp, S Sindia
US Patent App. 15/201,377, 2018
82018
Minimizing communication while maximizing performance in multi-agent reinforcement learning
VK Vijay, H Sheikh, S Majumdar, M Phielipp
arXiv preprint arXiv:2106.08482, 2021
72021
DNS: Determinantal point process based neural network sampler for ensemble reinforcement learning
H Sheikh, K Frisbee, M Phielipp
International Conference on Machine Learning, 19731-19746, 2022
62022
Imitation learning of robot policies by combining language, vision and demonstration
S Stepputtis, J Campbell, M Phielipp, C Baral, HB Amor
arXiv preprint arXiv:1911.11744, 2019
62019
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