Ramin M. Hasani

99 papers A* 27A 2B 2Misc 2Journal 60Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery. CoRR Maksim Kuznetsov, Zulfat Miftahutdinov, Rim Shayakhmetov, Mikolaj Mizera, Roman Schutski, Bogdan Zagribelnyy, Ivan Ilin, Nikita Bondarev, Thomas MacDougall, Mathieu Reymond, Mihir Bafna, Kaeli Kaymak-Loveless, Eugene Babin, Maxim Malkov, Mathias Lechner, Ramin M. Hasani, Alexander Amini, Vladimir Aladinskiy, Alex Aliper, Alex Zhavoronkov
2026	J	`jnl`	Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL. CoRR Julian Lemmel, Felix Resch, Mónika Farsang, Ramin M. Hasani, Daniela Rus, Radu Grosu
2025	J	`jnl`	Enhancing Steering Estimation with Semantic-Aware GNNs. CoRR Fouad Makiyeh, Huy-Dung Nguyen, Patrick Chareyre, Ramin M. Hasani, Marc Blanchon, Daniela Rus
2025	J	`jnl`	Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models. CoRR Haoyang Wu, Tsun-Hsuan Wang, Mathias Lechner, Ramin M. Hasani, Jennifer A. Eckhoff, Paul Pak, Ozanan R. Meireles, Guy Rosman, Yutong Ban, Daniela Rus
2025	J	`jnl`	LFM2 Technical Report. CoRR Alexander Amini, Anna Banaszak, Harold Benoit, Arthur Böök, Tarek Dakhran, Song Duong, Alfred Eng, Fernando Fernandes, Marc Härkönen, Anne Harrington, Ramin M. Hasani, Saniya Karwa, Yuri Khrustalev, Maxime Labonne, Mathias Lechner, Valentine Lechner, Simon Lee, Zetian Li, Noel Loo, Jacob Marks, Edoardo Mosca, Samuel J. Paech, Paul Pak, Rom N. Parnichkun, Alex Quach, Ryan Rogers, Daniela Rus, Nayan Saxena, Bettina Schlager, Tim Seyde, Jimmy T. H. Smith, Aditya Tadimeti, Neehal Tumma
2025	A*	`conf`	SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. ICLR Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2025	J	`jnl`	Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling. CoRR Mónika Farsang, Ramin M. Hasani, Radu Grosu
2024	A	`conf`	Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder. IROS Anass Bairouk, Mirjana Maras, Simon Herlin, Alexander Amini, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus
2024	J	`jnl`	Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder. CoRR Anass Bairouk, Mirjana Maras, Simon Herlin, Alexander Amini, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus
2024	Misc	`conf`	Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. CoRL Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
2024	J	`jnl`	Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. CoRR Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
2024	J	`jnl`	Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference. CoRR Huy-Dung Nguyen, Anass Bairouk, Mirjana Maras, Wei Xiao, Tsun-Hsuan Wang, Patrick Chareyre, Ramin M. Hasani, Marc Blanchon, Daniela Rus
2024	A*	`conf`	Large Scale Dataset Distillation with Domain Shift. ICML Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
2024	J	`jnl`	Learning with Chemical versus Electrical Synapses - Does it Make a Difference? CoRR Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu
2024	A*	`conf`	Learning with Chemical versus Electrical Synapses Does it Make a Difference? ICRA Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu
2024	A*	`conf`	Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. ICLR Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
2024	J	`jnl`	Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering. CoRR Fouad Makiyeh, Mark Bastourous, Anass Bairouk, Wei Xiao, Mirjana Maras, Tsun-Hsuan Wang, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus
2024	A*	`conf`	Overparametrization helps offline-to-online generalization of closed-loop control from pixels. ICRA Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
2024	A*	`conf`	State-Free Inference of State-Space Models: The Transfer Function Approach. ICML 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, Michael Poli, Atsushi Yamashita
2024	J	`jnl`	State-Free Inference of State-Space Models: The Transfer Function Approach. CoRR 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
2024	A*	`conf`	Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
2023	J	`jnl`	BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Makram Chahine, Alexander Amini, Xiao Li, Daniela Rus
2023	J	`jnl`	Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023	A*	`conf`	Dataset Distillation with Convexified Implicit Gradients. ICML Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023	J	`jnl`	Dataset Distillation with Convexified Implicit Gradients. CoRR Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023	A*	`conf`	Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus
2023	A*	`conf`	Infrastructure-based End-to-End Learning and Prevention of Driver Failure. ICRA Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus
2023	J	`jnl`	Infrastructure-based End-to-End Learning and Prevention of Driver Failure. CoRR Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus
2023	—	`conf`	Learning Stability Attention in Vision-based End-to-end Driving Policies. L4DC Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
2023	J	`jnl`	Learning Stability Attention in Vision-based End-to-end Driving Policies. CoRR Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
2023	J	`jnl`	Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. CoRR Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
2023	A*	`conf`	Liquid Structural State-Space Models. ICLR Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
2023	Misc	`conf`	Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
2023	A*	`conf`	On the Forward Invariance of Neural ODEs. ICML Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus
2023	A*	`conf`	On the Size and Approximation Error of Distilled Datasets. NeurIPS Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023	J	`jnl`	On the Size and Approximation Error of Distilled Sets. CoRR Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023	J	`jnl`	Robust flight navigation out of distribution with liquid neural networks. Sci. Robotics Makram Chahine, Ramin M. Hasani, Patrick Kao, Aaron Ray, Ryan Shubert, Mathias Lechner, Alexander Amini, Daniela Rus
2023	A	`conf`	Towards Cooperative Flight Control Using Visual-Attention. IROS Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus
2022	J	`jnl`	Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap. CoRR Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
2022	J	`jnl`	Closed-form continuous-time neural networks. Nat. Mac. Intell. Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus
2022	J	`jnl`	Cooperative Flight Control Using Visual-Attention - Air-Guardian. CoRR Lianhao Yin, Tsun-Hsuan Wang, Makram Chahine, Tim Seyde, Mathias Lechner, Ramin M. Hasani, Daniela Rus
2022	J	`jnl`	Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving. CoRR Wei Xiao, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
2022	J	`jnl`	Efficient Dataset Distillation Using Random Feature Approximation. CoRR Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2022	A*	`conf`	Efficient Dataset Distillation using Random Feature Approximation. NeurIPS Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2022	J	`jnl`	End-to-End Sensitivity-Based Filter Pruning. CoRR Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu
2022	J	`jnl`	Entangled Residual Mappings. CoRR Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter
2022	A*	`conf`	Evolution of Neural Tangent Kernels under Benign and Adversarial Training. NeurIPS Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2022	J	`jnl`	Evolution of Neural Tangent Kernels under Benign and Adversarial Training. CoRR Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
2022	A*	`conf`	GoTube: Scalable Statistical Verification of Continuous-Depth Models. AAAI Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu
2022	J	`jnl`	Interpreting Neural Policies with Disentangled Tree Representations. CoRR Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
2022	A*	`conf`	Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. ICRA Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
2022	J	`jnl`	Liquid Structural State-Space Models. CoRR Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
2022	J	`jnl`	On the Forward Invariance of Neural ODEs. CoRR Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2022	J	`jnl`	Pruning by Active Attention Manipulation. CoRR Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu
2022	J	`jnl`	Publisher Correction: Closed-form continuous-time neural networks. Nat. Mac. Intell. Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus
2022	J	`jnl`	PyHopper - Hyperparameter optimization. CoRR Mathias Lechner, Ramin M. Hasani, Philipp Neubauer, Sophie A. Neubauer, Daniela Rus
2021	A*	`conf`	Adversarial Training is Not Ready for Robot Learning. ICRA Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger
2021	J	`jnl`	Adversarial Training is Not Ready for Robot Learning. CoRR Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger
2021	J	`jnl`	BarrierNet: A Safety-Guaranteed Layer for Neural Networks. CoRR Wei Xiao, Ramin M. Hasani, Xiao Li, Daniela Rus
2021	A*	`conf`	Causal Navigation by Continuous-time Neural Networks. NeurIPS Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus
2021	J	`jnl`	Causal Navigation by Continuous-time Neural Networks. CoRR Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus
2021	J	`jnl`	Closed-form Continuous-Depth Models. CoRR Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Max Tschaikowski, Gerald Teschl, Daniela Rus
2021	J	`jnl`	GoTube: Scalable Stochastic Verification of Continuous-Depth Models. CoRR Sophie Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu
2021	J	`jnl`	Interactive Analysis of CNN Robustness. Comput. Graph. Forum Stefan Sietzen, Mathias Lechner, Judy Borowski, Ramin M. Hasani, Manuela Waldner
2021	J	`jnl`	Interactive Analysis of CNN Robustness. CoRR Stefan Sietzen, Mathias Lechner, Judy Borowski, Ramin M. Hasani, Manuela Waldner
2021	A*	`conf`	Liquid Time-constant Networks. AAAI Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
2021	J	`jnl`	Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. CoRR Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
2021	A*	`conf`	On the Verification of Neural ODEs with Stochastic Guarantees. AAAI Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu
2021	A*	`conf`	On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. ICML Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
2021	J	`jnl`	On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. CoRR Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
2021	A*	`conf`	Sparse Flows: Pruning Continuous-depth Models. NeurIPS Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus
2021	J	`jnl`	Sparse Flows: Pruning Continuous-depth Models. CoRR Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus
2020	A*	`conf`	A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. ICML Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
2020	A*	`conf`	Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme. ICRA Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu
2020	J	`jnl`	Learning Long-Term Dependencies in Irregularly-Sampled Time Series. CoRR Mathias Lechner, Ramin M. Hasani
2020	J	`jnl`	Liquid Time-constant Networks. CoRR Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
2020	J	`jnl`	Neural circuit policies enabling auditable autonomy. Nat. Mach. Intell. Mathias Lechner, Ramin M. Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus, Radu Grosu
2020	J	`jnl`	On The Verification of Neural ODEs with Stochastic Guarantees. CoRR Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu
2020	J	`jnl`	Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection. Auton. Robots Joseph DelPreto, Andres F. Salazar-Gomez, Stephanie Gil, Ramin M. Hasani, Frank H. Guenther, Daniela Rus
2019	A*	`conf`	A Machine Learning Suite for Machine Components' Health-Monitoring. AAAI Ramin M. Hasani, Guodong Wang, Radu Grosu
2019	J	`jnl`	A generative neural network model for the quality prediction of work in progress products. Appl. Soft Comput. Guodong Wang, Anna Ledwoch, Ramin M. Hasani, Radu Grosu, Alexandra Brintrup
2019	A*	`conf`	Designing Worm-inspired Neural Networks for Interpretable Robotic Control. ICRA Mathias Lechner, Ramin M. Hasani, Manuel Zimmer, Thomas A. Henzinger, Radu Grosu
2019	B	`conf`	Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. IJCNN Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
2018	J	`jnl`	Liquid Time-constant Recurrent Neural Networks as Universal Approximators. CoRR Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
2018	J	`jnl`	Neuronal Circuit Policies. CoRR Mathias Lechner, Ramin M. Hasani, Radu Grosu
2018	—	`conf`	Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection. Robotics: Science and Systems Joseph DelPreto, Andres F. Salazar-Gomez, Stephanie Gil, Ramin M. Hasani, Frank H. Guenther, Daniela Rus
2018	J	`jnl`	Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks. CoRR Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
2018	J	`jnl`	Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. CoRR Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
2017	—	`conf`	A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. ICIT Guodong Wang, Ramin M. Hasani, Yungang Zhu, Radu Grosu
2017	J	`jnl`	An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings. CoRR Ramin M. Hasani, Guodong Wang, Radu Grosu
2017	B	`conf`	Compositional neural-network modeling of complex analog circuits. IJCNN Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu
2017	—	`conf`	Computing with Biophysical and Hardware-Efficient Neural Models. IWANN (1) Konstantin Selyunin, Ramin M. Hasani, Denise Ratasich, Ezio Bartocci, Radu Grosu
2017	J	`jnl`	Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-activated CMOS Artificial Neural Microcircuits. CoRR Ramin M. Hasani, Giorgio Ferrari, Hideaki Yamamoto, Sho Kono, Koji Ishihara, Soya Fujimori, Takashi Tanii, Enrico Prati
2017	J	`jnl`	Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans. CoRR Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu
2017	J	`jnl`	SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans. CoRR Ramin M. Hasani, Victoria Beneder, Magdalena Fuchs, David Lung, Radu Grosu
2017	J	`jnl`	Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording. CoRR Magdalena Fuchs, Manuel Zimmer, Radu Grosu, Ramin M. Hasani
2017	—	`conf`	Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model. IWANN (2) Ramin M. Hasani, Guodong Wang, Radu Grosu
2017	J	`jnl`	Worm-level Control through Search-based Reinforcement Learning. CoRR Mathias Lechner, Radu Grosu, Ramin M. Hasani
2016	—	`conf`	Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans. HLDVT Md. Ariful Islam, Qinsi Wang, Ramin M. Hasani, Ondrej Balun, Edmund M. Clarke, Radu Grosu, Scott A. Smolka