Alexander Amini

About Alexander Amini

Alexander Amini, With an exceptional h-index of 26 and a recent h-index of 25 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Deep Learning, Artificial Intelligence, Robotics, Big Data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and methods for automated risk assessment in machine learning

Systems and methods for training a scene simulator using real and simulated agent data

Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder

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

Uncertainty-aware Language Modeling for Selective Question Answering

Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models

Adversarial Training in Continuous-Time Models and Irregularly Sampled Time-Series

Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks

Alexander Amini Information

University

Position

Computer Science

Citations(all)

2698

Citations(since 2020)

2541

Cited By

539

hIndex(all)

26

hIndex(since 2020)

25

i10Index(all)

33

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Alexander Amini Skills & Research Interests

Deep Learning

Artificial Intelligence

Robotics

Big Data

Top articles of Alexander Amini

Systems and methods for automated risk assessment in machine learning

2024/4/18

Systems and methods for training a scene simulator using real and simulated agent data

2024/4/11

Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder

arXiv preprint arXiv:2404.01750

2024/4/2

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

arXiv preprint arXiv:2404.01924

2024/4/2

Uncertainty-aware Language Modeling for Selective Question Answering

arXiv preprint arXiv:2311.15451

2023/11/26

Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models

arXiv preprint arXiv:2310.17642

2023/10/26

Adversarial Training in Continuous-Time Models and Irregularly Sampled Time-Series

2023/8/7

Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks

arXiv preprint arXiv:2308.00231

2023/8/1

Risk-Aware Image Generation by Estimating and Propagating Uncertainty

2023/6/23

Learning stability attention in vision-based end-to-end driving policies

2023/6/6

Bevfusion: Multi-task multi-sensor fusion with unified bird's-eye view representation

2023/5/29

Robust flight navigation out of distribution with liquid neural networks

Science Robotics

2023/4/19

Barriernet: Differentiable control barrier functions for learning of safe robot control

IEEE Transactions on Robotics

2023/3/21

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

arXiv preprint arXiv:2302.01428

2023/2/2

Revisiting the adversarial robustness-accuracy tradeoff in robot learning

IEEE Robotics and Automation Letters

2023/1/31

Liquid structural state-space models

arXiv preprint arXiv:2209.12951

2022/9/26

Autonomous flight arcade challenge: Single-and multi-agent learning environments for aerial vehicles

2022/5/9

Identifying and mitigating potential biases in predicting drug approvals

Drug Safety

2022/5

Learning Interactive Driving Policies via Data-driven Simulation

2022 IEEE International Conference on Robotics and Automation (ICRA)

2022

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles

2022 IEEE International Conference on Robotics and Automation (ICRA)

2022

See List of Professors in Alexander Amini University(Massachusetts Institute of Technology)

Co-Authors

academic-engine