Ramin Hasani
Cited by
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OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans
GP Sarma, CW Lee, T Portegys, V Ghayoomie, T Jacobs, B Alicea, ...
Philosophical Transactions of the Royal Society B 373 (1758), 20170382, 2018
c302: a multiscale framework for modelling the nervous system of Caenorhabditis elegans
P Gleeson, D Lung, R Grosu, R Hasani, SD Larson
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
An automated auto-encoder correlation-based health-monitoring and prognostic method for machine bearings
RM Hasani, G Wang, R Grosu
arXiv preprint arXiv:1703.06272, 2017
Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection
J DelPreto, AF Salazar-Gomez, S Gil, RM Hasani, FH Guenther, D Rus
Robotics: Science and Systems (RSS), 2018
SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans
RM Hasani, V Beneder, M Fuchs, D Lung, R Grosu
34th International Conference on Machine Learning (ICML), Workshop on …, 2017
Efficient modeling of complex analog integrated circuits using neural networks
RM Hasani, D Haerle, R Grosu
2016 12th Conference on Ph. D. Research in Microelectronics and Electronics …, 2016
Response characterization for auditing cell dynamics in long short-term memory networks
R Hasani, A Amini, M Lechner, F Naser, R Grosu, D Rus
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process
G Wang, RM Hasani, Y Zhu, R Grosu
2017 IEEE International Conference on Industrial Technology (ICIT), 1450-1454, 2017
Non-associative learning representation in the nervous system of the nematode caenorhabditis elegans
RM Hasani, M Fuchs, V Beneder, R Grosu
arXiv preprint arXiv:1703.06264, 2017
Designing worm-inspired neural networks for interpretable robotic control
M Lechner, R Hasani, M Zimmer, TA Henzinger, R Grosu
2019 International Conference on Robotics and Automation (ICRA), 87-94, 2019
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks
R Hasani, M Lechner, A Amini, D Rus, R Grosu
arxiv preprint arXiv:1809.04423, 2018
Compositional neural-network modeling of complex analog circuits
R Hasani, D Haerle, C Baumgartner, AR Lomuscio, R Grosu
International Joint Conference on Neural Networks (IJCNN), 2017
Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans
MA Islam, Q Wang, RM Hasani, O Balún, EM Clarke, R Grosu, SA Smolka
2016 IEEE International High Level Design Validation and Test Workshop …, 2016
A generative neural network model for the quality prediction of work in progress products
G Wang, A Ledwoch, RM Hasani, R Grosu, A Brintrup
Applied Soft Computing 85, 105683, 2019
Liquid time-constant recurrent neural networks as universal approximators
RM Hasani, M Lechner, A Amini, D Rus, R Grosu
arXiv preprint arXiv:1811.00321, 2018
Worm-level Control through Search-based Reinforcement Learning
M Lechner, R Grosu, RM Hasani
Neural Information Processing Systems (NIPS), Deep Reinforcement Learning …, 2017
Control of the correlation of spontaneous neuron activity in biological and noise-activated CMOS artificial neural microcircuits
RM Hasani, G Ferrari, H Yamamoto, S Kono, K Ishihara, S Fujimori, ...
arXiv preprint arXiv:1702.07426, 2017
Interpretable Recurrent Neural Networks in Continuous-time Control Environments
R Hasani
Technische Universität Wien, 2020
The natural lottery ticket winner: Reinforcement learning with ordinary neural circuits
R Hasani, M Lechner, A Amini, D Rus, R Grosu
Proceedings of the 2020 International Conference on Machine Learning (ICML …, 2020
Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme
M Lechner, R Hasani, D Rus, R Grosu
2020 International Conference on Robotics and Automation (ICRA). IEEE, 2020
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