Ramin M. Hasani

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 85

Top Topics

Reinforcement Learning

Approximation Error

Caenorhabditis Elegans

Top Venues

Publications

Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli
State-Free Inference of State-Space Models: The Transfer Function Approach. CoRR (2024)
Anass Bairouk, Mirjana Maras, Simon Herlin, Alexander Amini, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder. CoRR (2024)
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. ICLR (2024)
Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu
Learning with Chemical versus Electrical Synapses - Does it Make a Difference? CoRR (2024)
Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. CoRR (2024)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR (2024)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
Overparametrization helps offline-to-online generalization of closed-loop control from pixels. ICRA (2024)
Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu
Learning with Chemical versus Electrical Synapses Does it Make a Difference? ICRA (2024)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
Dataset Distillation with Convexified Implicit Gradients. ICML (2023)
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. ICRA (2023)
Makram Chahine, Ramin M. Hasani, Patrick Kao, Aaron Ray, Ryan Shubert, Mathias Lechner, Alexander Amini, Daniela Rus
Robust flight navigation out of distribution with liquid neural networks. Sci. Robotics 8 (77) (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. L4DC (2023)
Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
Liquid Structural State-Space Models. ICLR (2023)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Sets. CoRR (2023)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR (2023)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Makram Chahine, Alexander Amini, Xiao Li, Daniela Rus
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics 39 (3) (2023)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
Dataset Distillation with Convexified Implicit Gradients. CoRR (2023)
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. CoRR (2023)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus
On the Forward Invariance of Neural ODEs. ICML (2023)
Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Datasets. NeurIPS (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. CoRR (2023)
Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus
Towards Cooperative Flight Control Using Visual-Attention. IROS (2023)
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. CoRR (2023)
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
Efficient Dataset Distillation Using Random Feature Approximation. CoRR (2022)
Mathias Lechner, Ramin M. Hasani, Philipp Neubauer, Sophie A. Neubauer, Daniela Rus
PyHopper - Hyperparameter optimization. CoRR (2022)
Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu
GoTube: Scalable Statistical Verification of Continuous-Depth Models. AAAI (2022)
Wei Xiao, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving. CoRR (2022)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Interpreting Neural Policies with Disentangled Tree Representations. CoRR (2022)
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
Efficient Dataset Distillation using Random Feature Approximation. NeurIPS (2022)
Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. ICRA (2022)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus
Publisher Correction: Closed-form continuous-time neural networks. Nat. Mac. Intell. 4 (12) (2022)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap. CoRR (2022)
Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
Liquid Structural State-Space Models. CoRR (2022)
Lianhao Yin, Tsun-Hsuan Wang, Makram Chahine, Tim Seyde, Mathias Lechner, Ramin M. Hasani, Daniela Rus
Cooperative Flight Control Using Visual-Attention - Air-Guardian. CoRR (2022)
Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter
Entangled Residual Mappings. CoRR (2022)
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. NeurIPS (2022)
Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu
Pruning by Active Attention Manipulation. CoRR (2022)
Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu
End-to-End Sensitivity-Based Filter Pruning. CoRR (2022)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Forward Invariance of Neural ODEs. CoRR (2022)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus
Closed-form continuous-time neural networks. Nat. Mac. Intell. 4 (11) (2022)
Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. CoRR (2021)
Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger
Adversarial Training is Not Ready for Robot Learning. CoRR (2021)
Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus
Sparse Flows: Pruning Continuous-depth Models. CoRR (2021)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Max Tschaikowski, Gerald Teschl, Daniela Rus
Closed-form Continuous-Depth Models. CoRR (2021)
Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus
Causal Navigation by Continuous-time Neural Networks. NeurIPS (2021)
Stefan Sietzen, Mathias Lechner, Judy Borowski, Ramin M. Hasani, Manuela Waldner
Interactive Analysis of CNN Robustness. Comput. Graph. Forum 40 (7) (2021)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Networks. AAAI (2021)
Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. CoRR (2021)
Sophie Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu
GoTube: Scalable Stochastic Verification of Continuous-Depth Models. CoRR (2021)
Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger
Adversarial Training is Not Ready for Robot Learning. ICRA (2021)
Wei Xiao, Ramin M. Hasani, Xiao Li, Daniela Rus
BarrierNet: A Safety-Guaranteed Layer for Neural Networks. CoRR (2021)
Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus
Sparse Flows: Pruning Continuous-depth Models. NeurIPS (2021)
Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus
Causal Navigation by Continuous-time Neural Networks. CoRR (2021)
Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu
On the Verification of Neural ODEs with Stochastic Guarantees. AAAI (2021)
Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. ICML (2021)
Stefan Sietzen, Mathias Lechner, Judy Borowski, Ramin M. Hasani, Manuela Waldner
Interactive Analysis of CNN Robustness. CoRR (2021)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Networks. CoRR (2020)
Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu
On The Verification of Neural ODEs with Stochastic Guarantees. CoRR (2020)
Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme. ICRA (2020)
Joseph DelPreto, Andres F. Salazar-Gomez, Stephanie Gil, Ramin M. Hasani, Frank H. Guenther, Daniela Rus
Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection. Auton. Robots 44 (7) (2020)
Mathias Lechner, Ramin M. Hasani
Learning Long-Term Dependencies in Irregularly-Sampled Time Series. CoRR (2020)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. ICML (2020)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus, Radu Grosu
Neural circuit policies enabling auditable autonomy. Nat. Mach. Intell. 2 (10) (2020)
Guodong Wang, Anna Ledwoch, Ramin M. Hasani, Radu Grosu, Alexandra Brintrup
A generative neural network model for the quality prediction of work in progress products. Appl. Soft Comput. 85 (2019)
Ramin M. Hasani, Guodong Wang, Radu Grosu
A Machine Learning Suite for Machine Components' Health-Monitoring. AAAI (2019)
Mathias Lechner, Ramin M. Hasani, Manuel Zimmer, Thomas A. Henzinger, Radu Grosu
Designing Worm-inspired Neural Networks for Interpretable Robotic Control. ICRA (2019)
Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. IJCNN (2019)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks. CoRR (2018)
Joseph DelPreto, Andres F. Salazar-Gomez, Stephanie Gil, Ramin M. Hasani, Frank H. Guenther, Daniela Rus
Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection. Robotics: Science and Systems (2018)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Recurrent Neural Networks as Universal Approximators. CoRR (2018)
Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. CoRR (2018)
Mathias Lechner, Ramin M. Hasani, Radu Grosu
Neuronal Circuit Policies. CoRR (2018)
Ramin M. Hasani, Victoria Beneder, Magdalena Fuchs, David Lung, Radu Grosu
SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans. CoRR (2017)
Konstantin Selyunin, Ramin M. Hasani, Denise Ratasich, Ezio Bartocci, Radu Grosu
Computing with Biophysical and Hardware-Efficient Neural Models. IWANN (1) (2017)
Ramin M. Hasani, Guodong Wang, Radu Grosu
Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model. IWANN (2) (2017)
Ramin M. Hasani, Guodong Wang, Radu Grosu
An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings. CoRR (2017)
Guodong Wang, Ramin M. Hasani, Yungang Zhu, Radu Grosu
A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. ICIT (2017)
Magdalena Fuchs, Manuel Zimmer, Radu Grosu, Ramin M. Hasani
Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording. CoRR (2017)
Ramin M. Hasani, Giorgio Ferrari, Hideaki Yamamoto, Sho Kono, Koji Ishihara, Soya Fujimori, Takashi Tanii, Enrico Prati
Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-activated CMOS Artificial Neural Microcircuits. CoRR (2017)
Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu
Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans. CoRR (2017)
Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu
Compositional neural-network modeling of complex analog circuits. IJCNN (2017)
Mathias Lechner, Radu Grosu, Ramin M. Hasani
Worm-level Control through Search-based Reinforcement Learning. CoRR (2017)
Md. Ariful Islam, Qinsi Wang, Ramin M. Hasani, Ondrej Balun, Edmund M. Clarke, Radu Grosu, Scott A. Smolka
Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans. HLDVT (2016)