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Ramin M. Hasani
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2020 – today
- 2024
- [c36]Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR 2024 - [c35]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 - [c34]Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
Large Scale Dataset Distillation with Domain Shift. ICML 2024 - [c33]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:
State-Free Inference of State-Space Models: The *Transfer Function* Approach. ICML 2024 - [c32]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: 2774-2782 - [c31]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: 15106-15112 - [i46]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 abs/2401.08602 (2024) - [i45]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 abs/2404.01750 (2024) - [i44]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 abs/2405.06147 (2024) - [i43]Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus:
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. CoRR abs/2406.15149 (2024) - [i42]Huy-Dung Nguyen, Anass Bairouk, Mirjana Maras, Wei Xiao, Tsun-Hsuan Wang, Patrick Chareyre, Ramin M. Hasani, Marc Blanchon, Daniela Rus:
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference. CoRR abs/2409.10095 (2024) - [i41]Fouad Makiyeh, Mark Bastourous, Anass Bairouk, Wei Xiao, Mirjana Maras, Tsun-Hsuan Wang, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus:
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering. CoRR abs/2409.12716 (2024) - 2023
- [j8]Makram Chahine
, Ramin M. Hasani
Robust flight navigation out of distribution with liquid neural networks. Sci. Robotics 8(77) (2023) - [j7]Wei Xiao
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics 39(3): 2289-2307 (2023) - [c30]Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus:
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL 2023: 602-641 - [c29]Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
Liquid Structural State-Space Models. ICLR 2023 - [c28]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. ICML 2023: 22649-22674 - [c27]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: 38100-38124 - [c26]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: 3576-3583 - [c25]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: 6334-6341 - [c24]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: 1099-1111 - [c23]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 - [c22]Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Size and Approximation Error of Distilled Datasets. NeurIPS 2023 - [i40]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR abs/2302.01428 (2023) - [i39]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. CoRR abs/2302.06755 (2023) - [i38]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 abs/2303.12224 (2023) - [i37]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 abs/2304.02733 (2023) - [i36]Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Size and Approximation Error of Distilled Sets. CoRR abs/2305.14113 (2023) - [i35]Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus:
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. CoRR abs/2310.03915 (2023) - 2022
- [j6]Ramin M. Hasani
Closed-form continuous-time neural networks. Nat. Mac. Intell. 4(11): 992-1003 (2022) - [j5]Ramin M. Hasani
Publisher Correction: Closed-form continuous-time neural networks. Nat. Mac. Intell. 4(12): 1267 (2022) - [c21]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: 6755-6764 - [c20]Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. ICRA 2022: 7513-7520 - [c19]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. NeurIPS 2022 - [c18]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Efficient Dataset Distillation using Random Feature Approximation. NeurIPS 2022 - [i34]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 abs/2203.02401 (2022) - [i33]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
End-to-End Sensitivity-Based Filter Pruning. CoRR abs/2204.07412 (2022) - [i32]Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter:
Entangled Residual Mappings. CoRR abs/2206.01261 (2022) - [i31]Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
Liquid Structural State-Space Models. CoRR abs/2209.12951 (2022) - [i30]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 abs/2210.04303 (2022) - [i29]Mathias Lechner, Ramin M. Hasani, Philipp Neubauer, Sophie A. Neubauer, Daniela Rus:
PyHopper - Hyperparameter optimization. CoRR abs/2210.04728 (2022) - [i28]Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Forward Invariance of Neural ODEs. CoRR abs/2210.04763 (2022) - [i27]Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus:
Interpreting Neural Policies with Disentangled Tree Representations. CoRR abs/2210.06650 (2022) - [i26]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Pruning by Active Attention Manipulation. CoRR abs/2210.11114 (2022) - [i25]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. CoRR abs/2210.12030 (2022) - [i24]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Efficient Dataset Distillation Using Random Feature Approximation. CoRR abs/2210.12067 (2022) - [i23]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 abs/2212.11084 (2022) - 2021
- [j4]Stefan Sietzen, Mathias Lechner
Interactive Analysis of CNN Robustness. Comput. Graph. Forum 40(7): 253-264 (2021) - [c17]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Networks. AAAI 2021: 7657-7666 - [c16]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: 11525-11535 - [c15]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: 478-489 - [c14]Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger:
Adversarial Training is Not Ready for Robot Learning. ICRA 2021: 4140-4147 - [c13]Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus:
Causal Navigation by Continuous-time Neural Networks. NeurIPS 2021: 12425-12440 - [c12]Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Sparse Flows: Pruning Continuous-depth Models. NeurIPS 2021: 22628-22642 - [i22]Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter
Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. CoRR abs/2103.04909 (2021) - [i21]Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger:
Adversarial Training is Not Ready for Robot Learning. CoRR abs/2103.08187 (2021) - [i20]Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu:
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. CoRR abs/2106.07091 (2021) - [i19]Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus:
Causal Navigation by Continuous-time Neural Networks. CoRR abs/2106.08314 (2021) - [i18]Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Sparse Flows: Pruning Continuous-depth Models. CoRR abs/2106.12718 (2021) - [i17]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Max Tschaikowski, Gerald Teschl, Daniela Rus:
Closed-form Continuous-Depth Models. CoRR abs/2106.13898 (2021) - [i16]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 abs/2107.08467 (2021) - [i15]Stefan Sietzen, Mathias Lechner, Judy Borowski, Ramin M. Hasani, Manuela Waldner:
Interactive Analysis of CNN Robustness. CoRR abs/2110.07667 (2021) - [i14]Wei Xiao, Ramin M. Hasani, Xiao Li, Daniela Rus:
BarrierNet: A Safety-Guaranteed Layer for Neural Networks. CoRR abs/2111.11277 (2021) - 2020
- [j3]Joseph DelPreto
Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection. Auton. Robots 44(7): 1303-1322 (2020) - [j2]Mathias Lechner
Neural circuit policies enabling auditable autonomy. Nat. Mach. Intell. 2(10): 642-652 (2020) - [c11]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. ICML 2020: 4082-4093 - [c10]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: 5446-5452 - [i13]Mathias Lechner, Ramin M. Hasani:
Learning Long-Term Dependencies in Irregularly-Sampled Time Series. CoRR abs/2006.04418 (2020) - [i12]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Networks. CoRR abs/2006.04439 (2020) - [i11]Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu:
On The Verification of Neural ODEs with Stochastic Guarantees. CoRR abs/2012.08863 (2020)
2010 – 2019
- 2019
- [j1]Guodong Wang
A generative neural network model for the quality prediction of work in progress products. Appl. Soft Comput. 85 (2019) - [c9]Ramin M. Hasani
A Machine Learning Suite for Machine Components' Health-Monitoring. AAAI 2019: 9472-9477 - [c8]Mathias Lechner, Ramin M. Hasani
Designing Worm-inspired Neural Networks for Interpretable Robotic Control. ICRA 2019: 87-94 - [c7]Ramin M. Hasani
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. IJCNN 2019: 1-8 - 2018
- [c6]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 - [i10]Mathias Lechner, Ramin M. Hasani, Radu Grosu:
Neuronal Circuit Policies. CoRR abs/1803.08554 (2018) - [i9]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 abs/1809.03864 (2018) - [i8]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks. CoRR abs/1809.04423 (2018) - [i7]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Recurrent Neural Networks as Universal Approximators. CoRR abs/1811.00321 (2018) - 2017
- [c5]Guodong Wang, Ramin M. Hasani
A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. ICIT 2017: 1450-1454 - [c4]Ramin M. Hasani
Compositional neural-network modeling of complex analog circuits. IJCNN 2017: 2235-2242 - [c3]Ramin M. Hasani
Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model. IWANN (2) 2017: 392-402 - [c2]Konstantin Selyunin, Ramin M. Hasani
Computing with Biophysical and Hardware-Efficient Neural Models. IWANN (1) 2017: 535-547 - [i6]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 abs/1702.07426 (2017) - [i5]Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu:
Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans. CoRR abs/1703.06264 (2017) - [i4]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 abs/1703.06270 (2017) - [i3]Ramin M. Hasani, Guodong Wang, Radu Grosu:
An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings. CoRR abs/1703.06272 (2017) - [i2]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 abs/1711.01436 (2017) - [i1]Mathias Lechner, Radu Grosu, Ramin M. Hasani:
Worm-level Control through Search-based Reinforcement Learning. CoRR abs/1711.03467 (2017) - 2016
- [c1]Md. Ariful Islam, Qinsi Wang, Ramin M. Hasani
Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans. HLDVT 2016: 170-177
Coauthor Index
[c36] [c35] [c34] [c33] [c32] [c31] [i46] [i44] [j8] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [i40] [i39] [i38] [i36] [i35] [j6] [j5] [c21] [c20] [i32] [i31] [i30] [i29] [i28] [i23] [j4] [c17] [c16] [c15] [c14] [c13] [i22] [i21] [i20] [i19] [i17] [i16] [i15] [j2] [c11] [c10] [i13] [i12] [i11] [c8] [c7] [i10] [i9] [i8] [i7] [i1]
[c36] [c35] [c34] [c32] [c31] [i46] [i45] [i43] [i42] [i41] [j8] [j7] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i40] [i39] [i38] [i37] [i36] [i35] [j6] [j5] [c21] [c20] [c19] [c18] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [c17] [c15] [c14] [c13] [c12] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i14] [j3] [j2] [c11] [c10] [i12] [c7] [c6] [i9] [i8] [i7]
Tsun-Hsuan Wang
aka: Tsun-Hsuan Johnson Wang
aka: Tsun-Hsuan Johnson Wang
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