Alexander Amini

Orcid: 0000-0002-9673-1267

According to our database1, Alexander Amini authored at least 53 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks.
CoRR, 2024

Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications.
CoRR, 2024

Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder.
CoRR, 2024

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Overparametrization helps offline-to-online generalization of closed-loop control from pixels.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Large Scale Dataset Distillation with Domain Shift.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control.
IEEE Trans. Robotics, June, 2023

Robust flight navigation out of distribution with liquid neural networks.
Sci. Robotics, April, 2023

Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning.
IEEE Robotics Autom. Lett., March, 2023

Uncertainty-aware Language Modeling for Selective Question Answering.
CoRR, 2023

Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks.
CoRR, 2023

Learning Stability Attention in Vision-based End-to-end Driving Policies.
Proceedings of the Learning for Dynamics and Control Conference, 2023

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Liquid Structural State-Space Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Publisher Correction: Closed-form continuous-time neural networks.
Nat. Mac. Intell., December, 2022

Closed-form continuous-time neural networks.
Nat. Mac. Intell., November, 2022

End-to-end Learning for Robust Decision Making
PhD thesis, 2022

Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies.
IEEE Robotics Autom. Lett., 2022

Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap.
CoRR, 2022

Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving.
CoRR, 2022

Efficient Dataset Distillation using Random Feature Approximation.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Interactive Driving Policies via Data-driven Simulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Co-Learning of Task and Sensor Placement for Soft Robotics.
IEEE Robotics Autom. Lett., 2021

Closed-form Continuous-Depth Models.
CoRR, 2021

Causal Navigation by Continuous-time Neural Networks.
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.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient and Robust LiDAR-Based End-to-End Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Liquid Time-constant Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation.
IEEE Robotics Autom. Lett., 2020

Neural circuit policies enabling auditable autonomy.
Nat. Mach. Intell., 2020

Deep Evidential Regression.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Uncertainty Aware Texture Classification and Mapping Using Soft Tactile Sensors.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits.
Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Orientation Uncertainty Learning based on a Bingham Loss.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Variational End-to-End Navigation and Localization.
Proceedings of the International Conference on Robotics and Automation, 2019

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Liquid Time-constant Recurrent Neural Networks as Universal Approximators.
CoRR, 2018

Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks.
CoRR, 2018

Spatial Uncertainty Sampling for End-to-End Control.
CoRR, 2018

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Steering Bounds for Parallel Autonomous Systems.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring.
CoRR, 2017

2016
Analysis of Customers' Spatial Distribution Through Transaction Datasets.
Trans. Large Scale Data Knowl. Centered Syst., 2016

Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia.
CoRR, 2016

2014
The impact of social segregation on human mobility in developing and industrialized regions.
EPJ Data Sci., 2014

The Impact of Social Segregation on Human Mobility in Developing and Urbanized Regions.
CoRR, 2014


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