Ramin M. Hasani

Lianhao Yin

Tim Seyde

Tsun-Hsuan Johnson Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Stability Attention in Vision-based End-to-end Driving Policies.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Towards Cooperative Flight Control Using Visual-Attention.

[BibT_eX]

[DOI]

IROS, 2023

Infrastructure-based End-to-End Learning and Prevention of Driver Failure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Dataset Distillation with Convexified Implicit Gradients.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

On the Forward Invariance of Neural ODEs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Liquid Structural State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Measuring Interpretability of Neural Policies of Robots with Disentangled Representation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Publisher Correction: Closed-form continuous-time neural networks.

[BibT_eX]

[DOI]

Nat. Mac. Intell., December, 2022

Closed-form continuous-time neural networks.

[BibT_eX]

[DOI]

Nat. Mac. Intell., November, 2022

Cooperative Flight Control Using Visual-Attention - Air-Guardian.

[BibT_eX]

[DOI]

CoRR, 2022

Pruning by Active Attention Manipulation.

[BibT_eX]

[DOI]

CoRR, 2022

Interpreting Neural Policies with Disentangled Tree Representations.

[BibT_eX]

[DOI]

CoRR, 2022

On the Forward Invariance of Neural ODEs.

[BibT_eX]

[DOI]

CoRR, 2022

PyHopper - Hyperparameter optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap.

[BibT_eX]

[DOI]

CoRR, 2022

Entangled Residual Mappings.

[BibT_eX]

[DOI]

CoRR, 2022

End-to-End Sensitivity-Based Filter Pruning.

[BibT_eX]

[DOI]

CoRR, 2022

Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Dataset Distillation using Random Feature Approximation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolution of Neural Tangent Kernels under Benign and Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

GoTube: Scalable Statistical Verification of Continuous-Depth Models.

[BibT_eX]

[DOI]

Sophie A. Gruenbacher

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

BarrierNet: A Safety-Guaranteed Layer for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

GoTube: Scalable Stochastic Verification of Continuous-Depth Models.

[BibT_eX]

[DOI]

CoRR, 2021

Closed-form Continuous-Depth Models.

[BibT_eX]

[DOI]

CoRR, 2021

Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars.

[BibT_eX]

[DOI]

CoRR, 2021

Interactive Analysis of CNN Robustness.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2021

Causal Navigation by Continuous-time Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sparse Flows: Pruning Continuous-depth Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Training is Not Ready for Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Liquid Time-constant Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

On the Verification of Neural ODEs with Stochastic Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural circuit policies enabling auditable autonomy.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Learning Long-Term Dependencies in Irregularly-Sampled Time Series.

[BibT_eX]

[DOI]

CoRR, 2020

Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection.

[BibT_eX]

[DOI]

Joseph DelPreto

Andres F. Salazar-Gomez

Auton. Robots, 2020

Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A generative neural network model for the quality prediction of work in progress products.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Designing Worm-inspired Neural Networks for Interpretable Robotic Control.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

A Machine Learning Suite for Machine Components' Health-Monitoring.

[BibT_eX]

[DOI]

Guodong Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Liquid Time-constant Recurrent Neural Networks as Universal Approximators.

[BibT_eX]

[DOI]

CoRR, 2018

Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks.

[BibT_eX]

[DOI]

CoRR, 2018

Neuronal Circuit Policies.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Worm-level Control through Search-based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording.

[BibT_eX]

[DOI]

CoRR, 2017

An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings.

[BibT_eX]

[DOI]

Guodong Wang

CoRR, 2017

Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-activated CMOS Artificial Neural Microcircuits.

[BibT_eX]

[DOI]

CoRR, 2017

Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans.

[BibT_eX]

[DOI]

CoRR, 2017

SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans.

[BibT_eX]

[DOI]

CoRR, 2017

Computing with Biophysical and Hardware-Efficient Neural Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2017

Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model.

[BibT_eX]

[DOI]

Guodong Wang

Proceedings of the Advances in Computational Intelligence, 2017

Compositional neural-network modeling of complex analog circuits.

[BibT_eX]

[DOI]

Dieter Haerle

Christian F. Baumgartner

Alessio R. Lomuscio